P01
Start with customer value
Define what the customer is paying for, what quality and delivery mean, and which activities genuinely transform the product or information toward that result.
Production Optimization
Titan Production Optimization Field Manual
Lean · Flow · Kanban · JIT · Digital Thread
Production optimization · modern manufacturing
Build the production system around customer value, clean flow, live material, and controlled work.
Titan production optimization connects demand, design, engineering, purchasing, material, software, machines, tooling, maintenance, people, quality, assembly, shipping, reporting, capacity, buffers, scheduling, and cash. We establish the correct unit for every process, build pull-based machine schedules, protect the constraint with deliberate buffers, maintain whole-piece identity through cabinetry and millwork production, accelerate urgent service parts, reduce cycle and queue time, and make every workstation handoff complete before the next process begins.
Where modern manufacturing begins and ends
It begins with customer demand and trusted product information. It ends only when the customer accepts the result, cash returns to the business, and learning updates the system.
Lean manufacturing is not a collection of green tape, cards, or isolated workshops. It is an operating system that defines value, exposes waste, creates flow, pulls work from real demand, responds to abnormalities, develops people, and repeatedly improves the standard. The production floor matters, but so do estimating, engineering, purchasing, scheduling, inventory, quality, maintenance, shipping, invoicing, and supplier behaviour.
The new age of manufacturing adds a digital thread to that operating system. Product definition, material availability, machine status, job release, labels, quality, inventory, maintenance, supplier signals, and reporting can update in near real time. Technology creates value when it shortens feedback and improves decisions; it creates new waste when disconnected systems automate duplicate, unstable, or poorly governed work.
P02
See the complete value stream
Map material and information from demand through design, purchasing, production, inspection, shipping, invoicing, and feedback instead of optimizing one machine in isolation.
P03
Stabilize before accelerating
Unstable quality, files, tooling, maintenance, material, staffing, or scheduling will turn faster equipment into faster disruption. Standard work and reliable inputs come first.
P04
Make flow visible
Queues, WIP, shortages, remakes, blocked machines, missing approvals, and late information should be visible enough that the team can respond before they become delivery failures.
P05
Pull from real demand
Kanban and pull systems should replenish what was consumed within controlled limits instead of releasing work because capacity appears available or a forecast exists.
P06
Protect the constraint
The bottleneck sets the practical output of the system. Material, labour, tools, maintenance, information, and downstream capacity should be organized around its reliable use.
P07
Quality belongs at the source
Do not pass defects downstream. Detect abnormal conditions early, contain affected work, identify cause, and restore the process before producing more hidden rework.
P08
Use technology to strengthen the method
Digital thread, machine data, e-Kanban, dashboards, automation, and analytics should reduce delay and uncertainty—not automate a broken release process.
Ten forms of production waste Titan looks for.
The familiar lean wastes remain relevant, but modern shops also lose capacity through information friction, disconnected digital systems, energy, dust, consumables, and untrusted data.
W01
Defects and remakes
Incorrect dimensions, machining, finish, labels, hardware, approvals, files, or material create replacement parts, sorting, schedule disruption, and hidden capacity loss.
W02
Overproduction
Making parts, kits, cabinets, or reports earlier or in larger quantities than the next process needs creates inventory, searching, damage, and obsolete work.
W03
Waiting
People, machines, and orders wait for material, tooling, approvals, programs, maintenance, carts, labels, quality decisions, or downstream space.
W04
Unused knowledge
Operators and technicians often know recurring problems and practical improvements, but weak feedback systems prevent that knowledge from changing the standard.
W05
Transportation
Long or repeated movement between storage, saws, CNC, edgebanding, drilling, assembly, finishing, packaging, and shipping adds risk without transforming the product.
W06
Inventory
Raw material, work in process, finished goods, spare parts, and abandoned jobs consume cash, space, handling, insurance, tracking, and management attention.
W07
Motion
Searching, walking, reaching, lifting, rotating, opening, scanning, measuring, and handling can consume large portions of labour without advancing the job.
W08
Extra processing
Duplicate entry, repeated approvals, unnecessary sanding, excessive inspection, redundant paperwork, over-tight tolerances, and nonessential machining add cost without customer value.
W09
Information friction
Wrong revision, missing field, duplicate system, unreadable label, manual transcription, stale dashboard, and disconnected software create physical production waste.
W10
Resource and environmental waste
Excess material, compressed air, heat, electricity, dust, consumables, packaging, scrap, and rework add cost and can increase environmental and compliance exposure.
Lean operating system compared with typical push manufacturing.
These are directional comparisons. A real plant may use a combination of practices because of product mix, batch equipment, curing, finishing, nesting, supplier constraints, safety, or customer requirements.
| Operating dimension | Typical push / batch practice | Lean / flow-oriented practice | Practical result sought |
|---|---|---|---|
| Production release | Work is released from forecasts, open capacity, or departmental schedules. | Work is released from customer demand, pacemaker schedule, pull signals, and controlled prerequisites. | Less excess WIP and clearer priority. |
| Department objective | Each machine or department maximizes local utilization and output. | The value stream maximizes completed good output and customer delivery. | Less overproduction and blockage. |
| Batch size | Large batches reduce apparent setup impact but build queues. | Minimum practical batch or one-piece flow after setup and stability improve. | Shorter lead time and faster problem detection. |
| Inventory | Inventory is used broadly to protect uncertainty and missed schedules. | Intentional buffers protect defined risk while excess inventory is progressively removed. | Cash release, space, visibility, and lower handling. |
| Material replenishment | Purchasing reacts to forecasts, periodic counts, and emergency requests. | Consumption, lead time, supplier cadence, e-Kanban, and live availability drive replenishment. | Fewer stockouts with less excess. |
| Quality | Defects are found at inspection or downstream assembly. | Quality is checked where created; abnormalities are contained and escalated immediately. | Higher first-pass yield and less hidden rework. |
| Problem response | Supervisors expedite, work around, and restore output quickly. | The team contains, restores, studies cause, and updates the standard. | Fewer repeat problems. |
| Layout | Machines are grouped by type and work travels by department. | Cells and flow paths are organized around product families where practical. | Less transport, motion, and queue time. |
| Scheduling | Every department receives its own detailed schedule. | The pacemaker is scheduled; upstream processes replenish through pull and downstream uses FIFO or controlled flow. | One production rhythm and less conflicting priority. |
| Setup | Large runs are used to avoid frequent changeover. | Setup is studied and reduced so mix and smaller batches become economical. | Flexibility and shorter response time. |
| Work instructions | Knowledge lives with experienced people or scattered documents. | Standard work defines the approved method, quality points, WIP, and abnormal response. | Repeatability and faster training. |
| Technology | Software and automation are added around existing departmental practices. | Digital tools support the future-state flow, event model, and trusted source of truth. | Faster feedback without automating waste. |
| Management | Monthly reports explain what already happened. | Daily visual management exposes abnormalities and assigns timely action. | Shorter response and stronger accountability. |
| Improvement | Large projects are launched when performance becomes unacceptable. | Structured kaizen improves the standard continuously while major investments follow evidence. | Lower risk and sustained gains. |
Capacity planning begins by naming the unit, the time base, and the losses.
Every work centre needs an agreed production unit. A feed speed, axis speed, or spindle speed is an engineering characteristic; it is not automatically the number of good cabinets, panels, doors, or orders the shop can deliver. Titan converts machine and labour data into demonstrated good output by hour, shift, day, week, and product family.
Define the output unit
Select a unit that represents completed work at the process boundary: jobs released, sheets cut, parts machined, edge passes, finished panels, lineal feet, square feet, doors, cabinets, pallets, or orders.
Unit + quality state + boundary + time base
Build the net production calendar
Begin with scheduled shift time, then identify breaks, meetings, planned maintenance, cleaning, warm-up, planned setup, staffing limits, and other approved non-production time.
Net scheduled hours = shift hours − planned non-run time
Model product mix
A shop rarely runs one standard part. Capacity must reflect the real mix of panel sizes, programs, edges, profiles, doors, colours, materials, setup families, and routing alternatives.
Load hours = Σ(demand × standard hours/unit) + setup hours
Calculate dependable capacity
Convert the theoretical rate into a demonstrated good rate using actual availability, performance, quality, labour, material, setup, and transfer conditions.
Good capacity/day = good units/hour × net scheduled hours/day
Validate by observation
Time representative runs and separate cutting or processing time from load, unload, inspection, label, material search, changeover, blockage, starvation, rework, and operator travel.
Demonstrated rate = accepted good output ÷ staffed run hours
Run capacity scenarios
Compare demand growth, overtime, staffing, second shifts, setup reduction, yield improvement, maintenance, layout, automation, alternate routing, new equipment, and supplier changes.
Capacity gap = available good capacity − required good demand
Five rate levels prevent machine-speed claims from becoming false production promises.
Titan records each level separately. This creates a clear bridge from the machine specification to the value-stream and customer result.
Nameplate or programmed speed
Feed speed, axis speed, saw carriage speed, spindle speed, strokes, holes per minute, metres per minute, or another machine characteristic.
Output with no losses
Calculated pieces, sheets, doors, cycles, lineal feet, or square feet per hour using ideal cycle, part pitch, lanes, pass count, and routing.
Observed staffed production
Actual completed output per staffed run hour after ordinary loading, unloading, labels, inspection, changeover, minor stops, and handling.
Accepted first-pass production
Demonstrated output reduced by scrap, remake, rework, incomplete units, quality holds, and other output that cannot advance normally.
Value-stream result
Complete cabinets per day, doors per shift, kitchens per week, orders per day, lineal feet shipped, or another accepted customer unit.
Machine and process unit library for cabinet, millwork, door, and component manufacturing.
Each process receives a primary capacity unit, supporting engineering units, loss and quality measures, and a conversion to the finished customer unit. The selected unit must match the actual machine configuration, routing, product mix, and production boundary.
| Process or work centre | Primary capacity unit | Supporting engineering units | Required loss and quality measures | Value-stream conversion |
|---|---|---|---|---|
| Estimating and design | Quotes/day · jobs/day | Hours/job · revisions/job · approval days | Quote hit rate · design errors · waiting for information | Released jobs/day |
| Engineering and CAD/CAM release | Jobs/day · sheets programmed/day | Engineering min/job · programs/day · labels/day | Complete-and-correct release · revision errors · release queue age | Production-ready jobs/day |
| Receiving and put-away | Pallets/hour · sheets/hour · items/hour | Dock-to-stock minutes · scans/hour | Receiving accuracy · damage · hold quantity · inventory accuracy | Available material/day |
| Automatic panel storage | Sheets/hour · retrieval cycles/hour | Crane cycles/hour · metres travelled · queue time | Availability · wrong-sheet events · stock accuracy · blocked time | Correct sheets delivered/hour |
| Beam or panel saw | Books/hour · sheets/hour · parts/hour | Cuts/hour · saw carriage m/min · pusher m/min · stack height | Yield · setup min · recuts · label accuracy · operator wait | Good cut parts/hour or day |
| Nesting CNC | Sheets/hour · parts/hour | Cycle min/sheet · cutting m/min · load/unload min · tool-change sec | Material yield · first-pass yield · spindle cutting % · vacuum faults | Good nested parts/hour or shift |
| Point-to-point CNC / drilling | Parts/hour · cycles/hour | Seconds/part · holes/min · tool changes · program load time | First-pass yield · setup · queue · alarm time · missing tools | Good machined parts/hour |
| Single-sided edgebander | Lineal ft/min · m/min · edge passes/hour · panels/hour | Panel length + gap · edges/panel · feed speed · return time | Glue-line quality · rejects · setup · colour change · blocked/starved time | Finished panels/hour |
| Double-sided sizing / edge line | Finished panels/hour · panels/shift | Lengthwise and crosswise feed m/min · panel pitch | Squareness · edge quality · uptime · recirculation · changeover | Accepted panels/shift |
| Panel return or flexible cell | Panels/hour · loops/hour | Return cycle sec · operator touches/panel · buffer quantity | Blocked/starved minutes · wrong-route events · damage | Finished panels/operator-hour |
| Boring, doweling, insertion | Parts/hour · cycles/hour | Holes/min · dowels/min · insertion cycle sec | Depth/position defects · glue faults · setup · missing hardware | Good prepared parts/hour |
| Wide-belt sanding | Lineal ft/min · m/min · sq ft/hour · panels/hour | Feed speed × effective width · passes/panel | Finish defects · thickness variation · abrasive life · setup | Accepted sanded area/hour |
| Moulder, planer, rip, profile line | Lineal ft/min · m/min · pieces/hour · board ft/hour | Feed speed · lanes · average length · setup min | Yield · profile quality · knife/tool life · jam time | Good profile footage/hour |
| Door machining cell | Doors/hour · doors/shift | Cycle min/door · routing sec · handling sec | First-pass yield · setup · wrong-program events · WIP doors | Accepted doors/shift |
| Door or panel pressing | Doors/shift · panels/shift · cycles/hour | Press cycle min · load/unload min · cavities | Bond defects · cure compliance · queue · rework | Accepted pressed units/shift |
| Finishing line or spray booth | Sq ft/hour · parts/hour · lineal ft/min | Coating min/part · line speed · cure time · booth occupancy | Transfer efficiency · finish defects · recoat · colour change | Accepted finished area/day |
| Assembly cell | Cabinets/hour · cabinets/day · units/hour | Labour min/unit · takt · pitch · stations/unit | First-pass yield · missing parts · rework · balance loss | Complete cabinets/day |
| Packaging and shipping | Cabinets/hour · pallets/hour · orders/day | Pack min/unit · load min/order · scan transactions | Damage · shortage · paperwork error · dock waiting | Complete orders/day |
| Remake and recovery | Remakes/day · hours/remake | Detection-to-release min · production recovery hours | Repeat cause · age · disruption · missing source data | Closed remakes/day |
| Material handling | Moves/hour · cart turns/shift | Touches/unit · travel ft or m/order · handling min/unit | Damage · waiting · empty travel · restaging · lost parts | Good units moved with minimum touches |
| Maintenance and reliability | Available hours · productive hours | MTBF · MTTR · planned maintenance hours | Breakdown loss · repeat failure · PM compliance · parts stockout | Dependable machine hours/day |
| Whole value stream | Cabinets/day · doors/day · kitchens/week · orders/week | Lead time · takt · pitch · constraint rate · WIP age | On-time complete · first-pass yield · cash-to-cash · customer claims | Accepted customer units/time period |
Important measurement rule
Official equipment data may express performance as metres per minute,
carriage speed, axis speed, feed speed, pieces per shift, finished panels
per shift, or doors per shift. Titan records those engineering values, but
capacity planning converts them into demonstrated accepted units per hour,
shift, and day using actual part dimensions, gaps, lanes, passes, load and
unload time, changeovers, uptime, staffing, quality yield, and product mix.
Buffers are deliberate shock absorbers—not permission to hide unlimited inventory.
A buffer protects the value stream from a defined source of variability: machine downtime, supplier lead time, product mix, setup, labour, transport, quality, or schedule uncertainty. Each buffer requires a purpose, location, unit, maximum quantity or time, owner, replenishment rule, review signal, and escalation condition.
Constraint buffer
Protects the bottleneck from starvation. The buffer should contain ready, approved work with correct material, programs, tools, labels, and downstream capacity.
Buffer unit: minutes or hours of constraint work
Supermarket buffer
Holds a controlled quantity of standard items between processes that cannot flow directly because of batch size, changeover, schedule, or equipment differences.
Maximum quantity = authorized Kanban signals × container quantity
FIFO buffer
Controls sequence and age between connected processes. A FIFO lane needs a maximum quantity, visible entry order, overflow response, and rule for quality holds or priority exceptions.
Buffer unit: pieces, cabinets, doors, carts, or jobs
Material buffer
Protects production from replenishment lead time and approved variability. It should be separated into available, allocated, in-transit, quality hold, damaged, obsolete, and emergency status.
Demand during lead time + approved safety stock
Schedule or time buffer
Protects the customer promise from normal variation in the production route. The time buffer belongs at a controlled planning boundary—not hidden inside inflated dates at every workstation.
Buffer unit: hours or days before the customer commitment
Quality containment buffer
Provides a visible, segregated location for held, suspect, remake, or awaiting-decision work so it cannot quietly re-enter normal flow.
Status must remain visible: hold, review, rework, replace, release
Capacity buffer
Preserves the ability to absorb demand variation, maintenance, training, product mix, and recovery through labour flexibility, overtime, alternate routes, or controlled unused capacity.
Capacity cushion = dependable capacity − planned demand
Service-part buffer
Reserves a small, controlled portion of time, material, or routing capability for urgent replacement parts without allowing every rush request to destroy the production schedule.
Defined daily slot + maximum express-lane WIP
Pacemaker schedule
Choose the process that should receive the detailed production schedule and represent customer demand for the value stream.
- Product family and demand interval
- Pitch and release quantity
- Sequence and mix rules
- Completion and escalation signal
Finite machine scheduling
Load jobs only against dependable capacity after setup, staffing, maintenance, product mix, quality, material, and alternate-routing assumptions are included.
- Available good hours by machine
- Required standard hours by job
- Setup-family sequencing
- Capacity gap and approved response
Drum-buffer-rope logic
The constraint acts as the drum, a visible buffer protects it, and release is tied to the rate at which the system can absorb work.
- Constraint work queue in hours
- Buffer penetration status
- Release offset from the constraint
- Recovery action by buffer zone
Machine dispatch rules
When several jobs are ready, the operator needs one approved rule rather than competing verbal priorities.
- Customer need or pacemaker sequence
- Constraint protection
- Setup family and material readiness
- FIFO age and express-lane status
Buffer status scheduling
Green, yellow, and red zones can show when the buffer is healthy, approaching risk, or requires immediate recovery.
- Green: normal replenishment
- Yellow: investigate and protect
- Red: expedite the defined recovery
- Black: missed commitment or stopped flow
Release gate
A job enters production only when the agreed definition of ready is complete. Incomplete jobs remain visible outside the production queue.
- Approved revision and complete files
- Material and hardware available
- Programs, labels, tools, and drawings ready
- Capacity and downstream path available
Whole-piece flow in cabinetry and millwork
Keep the complete cabinet, door, room, or millwork assembly visible as one controlled production unit.
Whole-piece flow does not always mean one physical panel moving continuously through every machine. In cabinetry and millwork, the practical unit may be one cabinet, one door, one room package, one elevation, one reception desk, or one complete installable assembly. Parts may be optimized in batches, but identity, completeness, status, and downstream priority stay connected to the whole unit.
01
Choose the whole-piece unit
Cabinet, door, drawer bank, room, elevation, assembly, kit, install zone, or complete customer order.
02
Preserve identity through batch processes
Nested or saw-cut parts retain cabinet, room, assembly, and revision identity on labels and digital status.
03
Build complete kits at the right point
Do not force final assembly to search for backs, doors, drawers, hardware, gables, fillers, or replacement parts.
04
Use controlled partial completion
When one part is missing, show the unit as incomplete and route the shortage visibly instead of hiding it in finished WIP.
05
Measure complete units
Track cabinets completed per day, doors completed per shift, rooms released per week, and orders shipped complete.
06
Protect install sequence
Packaging, staging, and shipping follow the installation or customer-use sequence instead of machine completion order.
The lean manufacturing toolset—and the problem each tool addresses.
Tools should solve a defined value-stream problem. Using every lean tool everywhere creates overhead; using the right tool at the right maturity level creates a practical operating system.
L01
Value-stream mapping
Visualize the current material and information flow, diagnose delay and waste, design the future state, and create a shared improvement roadmap.
L02
5S and visual workplace
Sort, organize, clean, standardize, and sustain the workplace so abnormalities, missing items, and unsafe or inefficient conditions are easier to see.
L03
Standard work
Define the safest known sequence, work content, quality points, required information, standard WIP, and response to abnormal conditions.
L04
Takt and workload balance
Compare customer demand with available production time, then balance work and capacity around the required pace rather than local machine speed.
L05
One-piece / whole-piece flow
Move one unit or one complete job element through closely connected steps where practical, reducing queues and exposing quality or balance problems quickly.
L06
Cellular manufacturing
Arrange people, tools, and equipment around product families or flow paths to reduce travel, handoffs, waiting, and batch queues.
L07
Kanban and pull
Use visible or digital consumption signals, WIP limits, supermarkets, containers, and replenishment rules to control what enters the system.
L08
Setup reduction
Separate internal and external setup, prepare tools and material before stoppage, simplify adjustments, and reduce the time between the last good piece and first good piece.
L09
Production leveling
Smooth product mix and volume where demand and process conditions permit, reducing surges that overload machines, suppliers, material handling, and labour.
L10
Jidoka and quality at source
Stop or contain abnormal work, make problems visible, and prevent defects from travelling silently through the value stream.
L11
Total productive maintenance
Connect operator care, planned maintenance, condition monitoring, reliability, and improvement so equipment can support the required flow.
L12
Daily management and kaizen
Review a small number of meaningful measures, act on abnormalities, close actions, update standards, and involve the people who perform the work.
One-piece / whole-piece flow
Move the complete piece through the sequence with the smallest practical transfer quantity.
One-piece flow exposes delay, imbalance, defects, and material problems faster than large batches. It can shorten lead time and WIP dramatically, but it is not created by simply moving machines closer together. The process must be stable, quality capable, supplied, balanced, safe, and supported by reliable equipment and standard work.
Where it fitsCabinet assembly cells, door assembly, hardware insertion, subassembly, packaging, kitting, selected machining sequences, and product-family cells.
Where batches remainNesting, beam-saw optimization, finishing, curing, kiln processes, large monuments, shared tooling, and long changeovers may require controlled batches.
Design controlsTakt, cycle balance, operator path, point-of-use material, standard WIP, pitch, quality points, ergonomic handling, and backup response.
Progressive pathStabilize the process, reduce changeover, lower transfer quantity, build FIFO, connect steps, measure, and continue reducing delay.
Kanban, pull, and controlled WIP
Kanban is not a card. It is permission to replenish a defined quantity.
A reliable Kanban loop names the item, consumption point, replenishment source, container quantity, number of authorized signals, lead time, owner, supermarket, quality status, and exception path. Physical cards, two-bin systems, scanned containers, empty locations, and e-Kanban events can all work when the rules are visible and the loop is audited.
Signal designCard, scan, empty bin, shelf location, machine event, or system transaction tied to real consumption.
WIP limitThe number of signals establishes the maximum authorized quantity in the loop.
ReplenishmentRoute, frequency, supplier, container, presentation, label, quality, and delivery window.
Loop healthStockouts, expedites, lost cards, overfilled locations, late returns, quality holds, and emergency overrides.
Eliminate duplicate work and handling—without removing the redundancy that protects production.
Titan separates wasteful redundancy from protective redundancy. Duplicate data entry, approvals, inspections, staging, storage, and scheduling can be removed. Backup skills, alternate production routes, critical spares, approved suppliers, data backups, and recovery plans may be essential resilience rather than waste.
Duplicate information
Identify every place a job number, dimension, material, edge, tool, quantity, revision, due date, or status is entered, copied, exported, printed, scanned, or manually reconciled.
- Entries per job and systems touched
- Minutes of transcription or reconciliation
- Conflicting revision and master-data events
- Errors created by re-keying or stale exports
Duplicate approvals and inspection
Determine which reviews manage a real risk and which repeat a check because upstream quality or responsibility is not trusted.
- Approvals per job and approval queue time
- Characteristics inspected more than once
- Escape rate from the source process
- Checks that can move to quality at source
Duplicate scheduling and release
Review spreadsheets, whiteboards, ERP schedules, machine queues, supervisor lists, expedite messages, and informal priority rules.
- Number of competing schedules
- Priority changes per shift
- Jobs started without complete prerequisites
- Queue age and schedule adherence
Handling and re-handling
Count every pick, lift, rotate, stack, unstack, scan, restage, sort, search, cart transfer, forklift move, and temporary location.
- Touches per part, panel, cabinet, or order
- Handling minutes per good unit
- Travel feet or metres per order
- Damage and lost-part events by handling stage
Storage and staging reduction
Identify temporary locations created by batch release, imbalance, missing downstream capacity, poor cart standards, or uncertain status.
- WIP locations per job
- Square feet occupied by queue and staging
- Search time and location changes
- FIFO violations, damage, and job mixing
Protective redundancy
Retain or design redundancy where the production consequence justifies it, then document when and how the backup route is used.
- Cross-trained backup operators and programmers
- Alternate machine or outsourcing route
- Critical spare, repairable, or backup tooling
- Alternate supplier, data backup, and recovery plan
Capacity model outputs Titan can build for the shop.
The capacity model should support operating decisions, staffing, quoting, capital planning, and production commitments—not remain a theoretical spreadsheet disconnected from the floor.
Machine capacity sheets
Primary unit, ideal cycle, observed cycle, setup, availability, performance, quality, labour, batch, product mix, and demonstrated good capacity by hour and shift.
Process capacity matrix
Demand and load by work centre, alternate routing, constraint, capacity cushion, overtime exposure, queue risk, and required improvement by product family.
Handling burden map
Touches, travel, lifts, cart turns, forklift moves, staging locations, handling labour, damage points, blocked routes, and proposed direct transfers.
Growth and capital scenarios
Baseline, demand growth, second shift, staffing, setup reduction, maintenance improvement, yield gain, layout change, automation, alternate machine, and new-equipment scenarios.
Service-part express lanes stop one missing component from holding an entire cabinet, room, or installation.
Replacement and shortage parts require a separate controlled route because their economic consequence is much larger than the physical part. A missing shelf, door, gable, filler, drawer component, moulding, or machined panel can block assembly, packaging, shipping, installation, invoicing, and customer acceptance.
Triage and authorization
Confirm the part identity, revision, reason, downstream impact, and required completion before it enters the express lane.
- Customer or installation stopped
- Assembly or packaging blocked
- Quality remake or damage replacement
- Approved priority and due time
Fast data reconstruction
The express part needs the correct revision, material, machining, edge, finish, hardware, label, and destination without restarting the entire engineering process.
- Original job and part link
- Reason and cause code
- Approved machine-ready file
- Clear delivery destination
Reserved production windows
Use controlled daily slots, small WIP limits, alternate machines, compatible setup families, or planned insertion points rather than disrupting every machine whenever a rush request appears.
- Maximum express WIP
- Defined CNC, saw, edge, and finish route
- Buffer time by process
- Escalation when capacity is exceeded
Close the loop quickly
The part is not complete when machining ends. It must reach the blocked workstation, shipping area, installer, or customer with status confirmation and cause feedback.
- Express lead time and ageing
- First-pass yield
- Delivery confirmation
- Repeat-cause action
Cycle time must be separated from touch time, queue time, setup, handling, and total lead time.
A machine may complete its programmed cycle quickly while the part spends hours or days waiting before and after the machine. Titan records the complete time structure so improvement targets the actual customer delay.
Machine cycle time
Elapsed automatic or semi-automatic time for one defined machine cycle, sheet, part, door, book, panel, or batch.
Cycle time = end timestamp − cycle-start timestamp
Manual touch time
Labour time spent loading, unloading, handling, measuring, labeling, inspecting, sorting, cleaning, adjusting, or completing the unit.
Touch time/unit = direct labour minutes ÷ good units
Setup and changeover
Time from the last accepted unit of one run to the first accepted unit of the next, including verification and normal restart.
Changeover = first good next unit − last good prior unit
Queue and buffer time
Time the unit waits in FIFO, supermarket, staging, quality hold, engineering, material, or machine queues.
Queue age = process-start timestamp − ready timestamp
Process lead time
Elapsed time from entry to exit of one process boundary, including queue, setup allocation, processing, handling, inspection, and hold.
Process lead time = process exit − process entry
Value-stream lead time
Elapsed time from approved production release to complete accepted product, shipment, installation, or customer handoff.
Value-stream lead time = accepted completion − release
Takt and required cycle
Customer demand determines the required production pace. Each process needs dependable cycle and staffing capable of supporting it.
Takt = net available production time ÷ required good demand
Pitch and management interval
Pitch converts takt and pack or transfer quantity into a practical interval for release, movement, and visual production checking.
Pitch = takt × units per transfer or pack
Definition of ready
The next station receives the correct item, revision, quantity, material, program, drawing, label, tooling requirement, orientation, due time, quality status, and route before work enters its queue.
Definition of done
The current station confirms processing, inspection, quantity, labeling, status, exceptions, WIP location, downstream destination, and required record before releasing the unit.
Physical presentation
Parts arrive in the approved cart, rack, pallet, kit, stack, or sequence with protection, orientation, labels, and ergonomic access suitable for the next operation.
Digital event
Start, complete, hold, remake, move, consume, inspect, and ship events update the same job and item identity so the next user sees current status rather than asking several people.
Exception packet
Incomplete or abnormal work travels with the reason, affected parts, containment, required decision, owner, priority, and destination. It does not enter the normal queue with a handwritten mystery note.
Question elimination loop
Record repeated downstream questions, classify the missing information, move the answer upstream, update the standard, and measure whether the question returns.
Annual carrying-cost estimate
Use the company’s approved carrying-rate assumption, including the costs it chooses to recognize.
Average inventory value × carrying-rate assumption
Cash released
Reducing average inventory can release working capital, provided service level and operating stability are protected.
Old average inventory − new average inventory
Days on hand
Compare average inventory with annualized material consumption using a consistent cost basis.
(Average inventory ÷ annual material consumption) × 365
Reorder point
Demand and lead time must use the same units, and safety stock should reflect approved variability and service policy.
Demand during replenishment lead time + safety stock
Illustrative inventory exposure
This example is not a recommendation or a universal carrying rate. It shows why average inventory value deserves management attention. A shop holding $500,000 in average inventory and using an 18% annual carrying-cost assumption would estimate $90,000 per year in carrying exposure. Reducing average inventory by $150,000 would release $150,000 in working capital and reduce the illustrative annual carrying exposure by $27,000—provided the new material system still protects production and customer service.
$500,000Starting average inventory
18%Illustrative carrying assumption
$150,000Illustrative cash released
$27,000Illustrative annual exposure reduced
Push, pull, batch, and flow compared.
The best production design may combine these approaches. The important decision is whether each buffer, batch, and release rule is intentional, visible, measured, and appropriate to the product family.
| Approach | How work is triggered | Typical strength | Typical risk |
|---|---|---|---|
| Forecast push | Work is released from expected demand and departmental schedules. | Useful for long-lead planning and capacity preparation. | Forecast error becomes excess, shortage, expediting, and obsolete inventory. |
| Kanban pull | Actual consumption authorizes a defined replenishment quantity. | Controls WIP and makes replenishment visible. | Fails when signals, lead time, quality, limits, or exceptions are poorly managed. |
| Batch production | A quantity is processed together before transfer. | Can suit optimization, curing, shared setup, transport, and monument equipment. | Long queues, slow defect discovery, handling, and priority conflict. |
| One-piece flow | One unit advances through connected steps at the required pace. | Short lead time, low WIP, fast quality feedback, and visible imbalance. | Vulnerable to instability, imbalance, downtime, and unreliable supply. |
| FIFO flow lane | Work moves in arrival order within a maximum lane quantity. | Simple sequence and age visibility between processes that cannot directly flow. | Becomes uncontrolled storage when maximum quantity and overflow response are ignored. |
| Supermarket pull | Downstream withdraws from a controlled stock; upstream replenishes consumption. | Decouples processes with different cycles, schedules, or changeover behaviour. | Too many items or poor sizing can hide obsolete and slow-moving stock. |
The new age of manufacturing
Lean operating discipline meets digital thread, live material, and event-driven control.
Modern manufacturing connects product definition, approvals, BOM, material status, routing, tooling, machine programs, revisions, labels, job events, quality results, maintenance, supplier signals, and management reporting. Real-time data can shorten response and improve planning, but only when identifiers, definitions, timestamps, access, backups, and change history are trustworthy.
Digital threadOne controlled chain of product, process, manufacturing, quality, and support information across the lifecycle.
Live materialAvailable, allocated, in transit, quarantined, damaged, obsolete, expected, and consumed quantities updated by real events.
Connected productionMachine, job, tool, quality, maintenance, and material events create timely exceptions and status.
Digital leanReal-time value-stream visibility, digital Kanban, automated checks, dynamic scheduling, and faster improvement feedback.
Analytics and AISupport forecasting, anomaly detection, planning, maintenance, and scenario analysis while people retain governed decision authority.
Cyber and data governanceAccess, authentication, validation, backup, recovery, traceability, and controlled change protect the operating system.
01
Define customer value and the business problem
Clarify the product families, customers, demand patterns, quality expectations, delivery commitments, service level, margin pressure, growth goals, and operational problems the optimization work must address. Improvement should be tied to a business result rather than a generic request to make the shop faster.
CustomerWhat does the customer value, reject, wait for, and pay for?
BusinessLead time, capacity, quality, working capital, labour, space, or delivery objective.
ScopeSites, product families, shifts, systems, machines, suppliers, and departments included.
02
Select the product or service family
Group products that follow similar process routes, machine requirements, materials, and demand patterns. Mapping every product at once creates noise; a focused family makes queues, constraints, setup patterns, and improvement decisions easier to understand.
FamilySimilar routing, materials, construction, demand, and production behaviour.
VolumeAnnual, monthly, weekly, and daily demand plus seasonality and mix.
ExceptionsCustom work, remakes, prototypes, rush orders, and special finishes.
03
Map the current state
Follow a real order from customer demand through estimating, design, engineering, purchasing, release, machine programming, production, inspection, assembly, packaging, shipping, invoicing, and feedback. Record both the physical route and the information required to authorize each step.
Material flowMovement, queue, storage, container, batch, scrap, and rehandling.
Information flowSystems, approvals, schedules, labels, files, reports, and manual entry.
TimelineTouch time, wait time, queue age, lead time, and response delay.
04
Establish the operating truth
Agree on definitions and collect representative baseline data. Machine cycle time is not production lead time; scheduled hours are not available hours; started jobs are not completed good output. The team needs a shared data dictionary before comparing departments or promising gains.
DefinitionsGood unit, complete job, downtime, setup, queue, WIP, remake, and on-time delivery.
BaselineVolume, lead time, WIP, quality, labour, setup, utilization, inventory, and schedule.
TrustSource, timing, ownership, missing data, manual correction, and audit method.
05
Calculate demand pace and capacity
Translate customer demand into the required production pace using available production time and approved assumptions. Compare takt or required rate with cycle time, changeovers, uptime, staffing, product mix, batch policy, and downstream capacity to identify the practical gap.
DemandNet required good output by product family and time period.
CapacityPeople, machines, shifts, uptime, setup, maintenance, and yield.
GapWhere required pace exceeds dependable process capability.
06
Define the metric architecture for every process
Assign the primary output unit, supporting engineering unit, quality state, process boundary, time base, data source, and value-stream conversion for each office process, machine, cell, handling route, and assembly stage.
Primary unitSheets, parts, lineal feet, square feet, doors, cabinets, jobs, pallets, or orders.
BoundaryStarted, processed, completed, first-pass accepted, transferred, shipped, or customer accepted.
Time baseMinute, staffed hour, scheduled hour, shift, day, week, or demand period.
07
Build the machine and process capacity model
Calculate ideal, demonstrated, and good capacity using product mix, standard cycle, setup matrix, available hours, staffing, uptime, yield, batch policy, routing, shared resources, and downstream absorption.
Demand loadDemand by product family multiplied by the standard time on each required resource.
Available capacityNet scheduled hours multiplied by the demonstrated accepted production rate.
ScenarioBaseline, peak, growth, second shift, improvement, automation, and capital options.
08
Audit redundancy and handling burden
Identify duplicate data, approvals, inspection, scheduling, storage, staging, and physical handling. Remove work that adds no value while preserving backup skills, alternate routes, critical spares, supplier options, and recovery controls that protect the operating system.
RedundancyEntries, approvals, checks, reports, schedules, labels, and temporary databases.
HandlingTouches, travel, lifts, rotations, scans, sorting, carts, forklifts, and restaging.
ResilienceBackups retained because failure consequence exceeds the cost of protection.
09
Design the buffer architecture
Identify where variability must be absorbed and choose the appropriate constraint, FIFO, supermarket, material, capacity, schedule, quality, or service buffer. Define the unit, size, owner, replenishment, visual status, overflow response, and review frequency.
PurposeThe exact variability or consequence the buffer is designed to protect.
LimitMaximum quantity, time, capacity, or authorized signals.
StatusGreen, yellow, red, overflow, blocked, or quality-hold condition.
10
Build pull-based machine scheduling
Schedule the pacemaker and load each machine against dependable good capacity. Release work only when the definition of ready is complete and the value stream can absorb it.
PacemakerThe process receiving the controlled production sequence and pitch.
Finite loadRequired standard hours compared with dependable available hours.
DispatchOne approved sequence rule using demand, buffer, FIFO, setup, and express status.
11
Define whole-piece flow for the product family
Select the complete unit that should remain visible through production: cabinet, door, room, elevation, assembly, kit, install zone, or customer order. Preserve identity through batch machines and prevent partial units from appearing complete.
Whole unitThe customer-relevant assembly or package tracked through the route.
CompletenessRequired components, hardware, finish, documents, and quality status.
SequenceProduction, packaging, shipping, and installation order.
12
Create the service-part express lane
Establish a controlled path for urgent replacement and shortage parts with triage, data reconstruction, maximum WIP, reserved machine windows, destination confirmation, and cause feedback.
EligibilityCustomer, installation, assembly, packaging, or shipment is blocked.
RouteEngineering, material, CNC, saw, edge, finish, inspection, and delivery path.
Service levelTarget lead time, ageing limit, priority, and escalation.
13
Build the cycle-time structure
Measure machine cycle, manual touch, setup, queue, buffer, process lead, value-stream lead, takt, and pitch separately. Use timestamps and observation to identify whether the problem is processing speed or time spent waiting.
ProcessingMachine and manual work required to transform or complete the unit.
WaitingQueue, material, approval, quality, handling, setup, and blocked time.
CustomerTotal elapsed time to complete accepted value.
14
Standardize the workstation handoff
Define what must be true before work enters the next station and what the current station must confirm before release. Move repeated downstream questions into upstream data, physical presentation, and exception standards.
ReadyCorrect item, revision, quantity, material, file, tool, label, route, and due time.
DoneProcessing, inspection, status, location, record, and downstream destination complete.
ExceptionReason, owner, priority, containment, decision, and recovery route visible.
15
Identify the system constraint
Determine which step, resource, rule, or information gate limits completed output. Protect it from starvation, blockage, bad files, missing material, unnecessary setup, low-priority work, quality escapes, and avoidable downtime. Improving a non-constraint may only build inventory faster.
ConstraintMachine, labour skill, approval, material, tooling, finishing, or shipping capacity.
StarvationMissing work, material, information, operator, tool, or upstream output.
BlockageNo downstream space, labour, approval, cart, capacity, or quality release.
16
Stabilize quality and abnormal work
Define normal conditions, first-article checks, in-process quality points, defect containment, remake routing, stop criteria, escalation, and cause review. Flow and JIT make problems visible quickly; they require a reliable response rather than pressure to keep producing bad work.
Quality at sourceCheck the characteristic where it is created and before more value is added.
ContainmentIdentify affected material, stop propagation, and protect downstream work.
RecoveryCorrect, rework, replace, report, and update the standard where required.
17
Create standard work
Document the safest known sequence, work content, required information, quality points, standard WIP, replenishment rules, handoffs, and response to abnormalities. Standard work is the baseline for training, balancing, problem solving, automation, and improvement.
SequenceThe approved order of work and decision points.
Standard WIPThe minimum controlled material required to keep approved flow operating.
Abnormal routeWhat users do when demand, quality, material, machine, or data is not normal.
18
Reduce setup and release time
Study the time from the last good unit of one job to the first good unit of the next. Move preparation outside the stoppage, stage programs and tools, standardize settings, use carts and kits, simplify adjustment, and verify the first piece efficiently.
External workMaterial, tools, files, carts, inspection, and paperwork prepared while running.
Internal workTasks that truly require the machine or process to stop.
VerificationFast, repeatable approval of the first good output after changeover.
19
Design cells and one-piece flow where practical
Place sequential work close together, reduce travel, balance work content, define pitch, create point-of-use storage, and move one complete unit or tightly controlled transfer quantity where the process is stable. Some woodworking operations require batches because of machine architecture, finishing, curing, or nesting; the goal is minimum practical batch, not ideology.
PrerequisitesStable process, capable equipment, quality at source, balanced work, and reliable supply.
DesignProduct family, routing, ergonomics, material presentation, and operator movement.
LimitsLarge monuments, curing, optimization, safety, and process constraints that require buffers.
20
Design the Kanban system
Define the consumption point, replenishment process, item identity, container quantity, number of signals, supermarket location, replenishment lead time, safety factor, owner, and exception route. A Kanban is a control rule, not simply a card or coloured bin.
SignalPhysical card, scan, empty location, digital event, or consumption transaction.
LimitMaximum authorized WIP and the conditions that may change it.
ExceptionShortage, quality hold, supplier delay, demand spike, lost card, or system failure.
21
Build pull from the pacemaker
Choose the process that should receive the production schedule, connect upstream replenishment through pull signals, and manage downstream movement with FIFO lanes, controlled supermarkets, pitch, and completion rules. Avoid scheduling every machine independently.
PacemakerThe controlled process that best represents customer demand and sets production rhythm.
ReleaseWhen work may enter the value stream and what prerequisites must be complete.
FIFOMaximum lane quantity, sequence rule, age visibility, and overflow response.
22
Create the just-in-time material plan
Connect item usage, lead time, supplier reliability, minimum order, packaging, receiving capacity, quality history, demand variability, safety stock, and replenishment signals. Live inventory should reflect available, allocated, in-transit, quarantined, damaged, and obsolete material—not only accounting quantity.
Reorder logicDemand during replenishment lead time plus approved safety stock.
Supplier cadenceDelivery days, windows, containers, labels, quality, escalation, and capacity.
VisibilityOn hand, available, allocated, in transit, hold, expected consumption, and exception.
23
Level product mix and release
Where customer demand and process capability permit, smooth the release of product families and options so suppliers, material handling, machines, and labour do not experience avoidable surges. Leveling does not mean ignoring real demand; it means reducing self-created volatility.
MixSequence product families to reduce overload and support downstream balance.
PitchA practical management interval for releasing and checking completed work.
Freeze windowTime horizon where schedule changes require controlled approval.
24
Build visual daily management
Make schedule status, constraint condition, WIP, shortages, quality holds, downtime, remakes, maintenance, and action ownership visible. Review abnormalities at a fixed cadence and assign response without turning the board into a decorative reporting exercise.
SignalNormal, warning, abnormal, stopped, and recovery states.
CadenceShift, daily, weekly, and monthly review with different decision depth.
ClosureOwner, due date, countermeasure, evidence, and standard update.
25
Connect the digital manufacturing thread
Link approved product definition, BOM, materials, tooling, programs, revisions, machine status, labels, quality results, inventory, job status, and reporting. Use event-driven updates and trusted identifiers so the same job does not acquire several conflicting digital versions.
Master dataApproved source for item, revision, routing, material, tool, and machine definition.
EventsRelease, consume, start, complete, hold, remake, maintain, ship, and close.
GovernanceAccess, change history, backup, cybersecurity, validation, and correction.
26
Pilot the future state
Test the new flow on a representative product family, shift, cell, or supplier route. Train the team, prepare material and signals, define stop criteria, measure the baseline and result, capture issues, and revise the design before broad rollout.
Pilot scopeLarge enough to reveal the system but small enough to control.
MeasuresLead time, WIP, quality, output, labour, setup, shortages, and team feedback.
DecisionAdopt, adjust, repeat, pause, or escalate based on evidence.
27
Scale and sustain the operating system
Expand the proven method by product family and process while protecting standards, training, data, maintenance, suppliers, material controls, and leadership routines. Use regular value-stream review, kaizen, and management of change so gains survive growth and product changes.
ScaleSequence of cells, products, departments, suppliers, and systems.
SustainAudits, training, metrics, ownership, maintenance, and standard confirmation.
ImproveProblems, ideas, experiments, verified results, and updated future-state map.
Common production-optimization failure patterns.
Lean tools are powerful when the operating conditions and management system support them. Applied as isolated slogans, they can move risk rather than remove it.
Automation before flow
A new CNC, robot, return system, or software platform is expected to solve queues created by release rules, poor quality, missing data, or downstream imbalance.
Better methodMap the complete route, stabilize inputs, define the future state, then automate the work that should exist.
Kanban without discipline
Cards or bins are introduced but container quantity, ownership, replenishment lead time, WIP limit, signal loss, and exception handling are undefined.
Better methodDesign the operating rules, train every user, audit the loop, and change limits only through evidence.
One-piece flow forced onto an unstable process
Small transfer quantities expose defects and imbalance, but the team has no stop rule, quality response, standard work, or reliable material supply.
Better methodStabilize, balance, reduce setup, establish quality at source, then reduce batch size progressively.
Inventory reduced without supplier capability
Stock is removed faster than supplier cadence, receiving quality, transport reliability, and demand visibility improve, causing line stoppages and emergency freight.
Better methodSegment items, validate lead time and variability, set service policy, pilot replenishment, and reduce inventory in controlled stages.
Dashboards without definitions
Different departments use different meanings for output, downtime, complete job, remake, or on-time delivery, so meetings debate numbers instead of improving flow.
Better methodCreate a shared data dictionary, event model, source of truth, validation routine, and named action for each measure.
Local efficiency builds system WIP
A machine is measured on utilization and keeps producing despite downstream blockage, creating piles that hide quality, consume space, and delay higher-priority work.
Better methodMeasure completed value-stream output, protect the constraint, limit WIP, and stop releasing work the system cannot absorb.
Lean treated as a cost-cutting event
Teams see improvement as a headcount exercise, so problems and ideas are hidden and standards are bypassed after the workshop ends.
Better methodConnect lean to customer value, safer work, capability, growth, problem solving, and workforce development.
JIT confused with zero inventory
The organization removes buffers without understanding demand variability, supplier risk, quality, transport, minimum order, or recovery time.
Better methodUse intentional inventory: the minimum controlled amount required to protect the agreed service level and operating design.
Customer lead time
Elapsed time from accepted demand to delivered and accepted product.
Order-to-release time
Time consumed by estimating, design, engineering, approval, purchasing, and production preparation.
Manufacturing lead time
Elapsed time from production release to completed good product.
Touch-time ratio
Value-creating and required work time compared with total lead time.
Work in process
Authorized material or jobs between release and completion, measured by quantity, value, age, and location.
First-pass yield
Good output completing the route without remake, rework, sorting, or unplanned correction.
On-time complete delivery
Orders delivered by promise date with the complete required quantity and documentation.
Constraint utilization
Time the system constraint produces approved output compared with its planned available time.
Setup and changeover
Time from last good unit of one run to first approved good unit of the next.
Inventory days on hand
Average inventory compared with annual or period material consumption.
Inventory turns
Annualized material usage or cost of goods compared with average inventory value.
Kanban loop health
Stockouts, lost signals, late replenishment, emergency cards, overfilled locations, and loop audit results.
Schedule adherence
Completed good output compared with the frozen or approved schedule.
Remake recovery time
Time from defect identification to accepted replacement and closed cause action.
Labour productivity
Completed good output per paid or direct labour hour, interpreted with quality and mix.
Cash-to-cash exposure
Time and value between paying for material and collecting cash from the customer.
Good units per scheduled hour
Accepted first-pass output divided by scheduled production hours for the process.
Capacity requirement versus availability
Mix-weighted required resource hours compared with dependable available resource hours.
Capacity cushion
Dependable capacity above planned demand, shown by resource and product family.
Blocked and starved time
Minutes the process cannot run because downstream space or upstream work is unavailable.
Touches per unit
Manual and mechanical handling events required for one part, panel, cabinet, door, or order.
Travel distance per order
Operator, cart, forklift, or material distance required to complete the selected order route.
Complete-and-correct release
Jobs entering production with approved files, material, tools, labels, drawings, and due-date data.
Labour minutes per good unit
Paid or direct labour time required for accepted output at the selected process or value-stream boundary.
Buffer penetration
Amount of the approved buffer consumed, shown by green, yellow, red, overflow, or missed-commitment status.
Constraint starvation
Minutes the bottleneck is ready but cannot run because approved work, material, labour, tools, or information are unavailable.
Constraint blockage
Minutes the bottleneck cannot release completed work because downstream space, handling, quality, or capacity is unavailable.
Pitch adherence
Completed transfer quantities compared with the planned pitch intervals at the pacemaker.
Whole-piece completion
Complete cabinets, doors, rooms, assemblies, or install packages compared with partially completed units.
Express-part lead time
Elapsed time from authorized service-part request to accepted delivery at the blocked workstation, installer, or customer.
Express-lane WIP
Authorized service parts currently in the express route, grouped by age, stage, priority, and cause.
Handoff completeness
Work arriving at the next process with every definition-of-ready field and physical requirement complete.
Downstream question rate
Questions, clarifications, searches, or interruptions created by incomplete upstream handoff per job or shift.
Touch-to-lead-time ratio
Direct processing and handling time compared with total process or value-stream lead time.
G0
Scope and value accepted
Product family, customer demand, business objectives, participants, boundaries, and decision authority are clear.
G1
Current state verified
Material flow, information flow, lead time, WIP, quality, demand, capacity, and data definitions are confirmed.
G2
Stability basis ready
Quality at source, maintenance, tooling, material, standard work, and abnormal-response gaps have owners.
G3
Future state approved
Pacemaker, flow, pull, Kanban, supermarkets, FIFO, takt, layout, information, and supplier direction are agreed.
G4
Pilot ready
People, material, training, signals, software, layout, measures, stop criteria, and contingency are prepared.
G5
Pilot accepted
Results meet the approved quality, flow, WIP, lead-time, safety, labour, and delivery conditions.
G6
Scale plan approved
Rollout order, resources, supplier work, technology, training, standards, and management cadence are funded and owned.
G7
Operating system handed off
Daily management, audits, metrics, kaizen, management of change, and value-stream ownership are active.
Reference framework used for the production model.
The page combines established lean principles with current smart- manufacturing and digital-thread concepts. Implementation remains specific to the product family, equipment, workforce, software, supplier network, and customer demand.
NIST MEP lean manufacturing
Value-stream mapping, 5S, setup reduction, cellular flow, one-piece flow, Kanban, and continuous-improvement guidance for manufacturers.
NIST lean resourcesToyota Production System
Toyota identifies just-in-time and jidoka as core concepts and documents Kanban, production leveling, visual management, and problem response in TPS development.
Toyota TPS historyNIST digital thread
Integrated product-definition and manufacturing information can connect design, production, quality, and support processes and improve responsiveness to changing conditions.
NIST digital threadEPA lean and environment
Lean waste reduction can be coordinated with energy, material, emissions, water, and environmental-performance improvement.
EPA lean waste resourcesNIST manufacturing KPIs
Manufacturing performance systems commonly organize metrics around throughput, efficiency, availability, quality, maintenance, utilization, and related operational dependencies.
NIST KPI frameworkTakt, cycle, and capacity
Lean capacity work distinguishes customer-demand pace, process cycle time, process capacity, work sequence, and standard in-process stock.
Lean takt referenceSCM machine-rate examples
Official SCM technical data uses units such as metres per minute for edgebanding, sanding, moulding, nesting, saw movement, and other throughfeed or machining characteristics.
SCM edgebander dataSCM finished-output examples
Official SCM project and product information also reports finished output in units such as doors per shift, windows per shift, and finished panels per shift.
SCM door-cell outputPossible planning deliverables
Current and future-state value-stream maps
Data definitions and operating baselines
Constraint and capacity analysis
Cell, flow, FIFO, and material-movement concept
Kanban, supermarket, and WIP-limit design
JIT material and supplier replenishment model
Digital-thread and reporting requirements
Pilot, rollout, metrics, and sustainment plan
Machine and process capacity sheets
Redundancy and handling-burden audit
Buffer architecture and sizing rules
Pacemaker and pull-scheduling design
Whole-piece flow and completeness map
Workstation handoff standard
Titan next-stage support
Work-cell and machine-layout planning
CNC software and workflow integration
Tooling and setup-reduction programs
Maintenance and equipment-readiness planning
Carts, conveyors, returns, and handling systems
Custom production reporting and dashboards
Operator, programmer, and leadership training
Follow-up review and continuous improvement
Machine-rate and daily-output dashboards
Capacity scenarios and capital justification
Service-part express-lane implementation
Cycle-time and queue-time study
Buffer, pitch, handoff, and express-lane dashboards
Constraint-buffer and drum-buffer-rope model
Build the future state around the real shop
Turn busy production into visible flow, controlled inventory, and dependable customer delivery.
Send Titan the product families, demand, routing, layout, machine list, software systems, material records, supplier lead times, WIP, remake and shortage history, service-part requests, schedules, machine cycle data, queue time, buffer locations, whole-piece units, handoff questions, sheets per day, lineal feet per minute, doors per shift, labour hours, bottlenecks, and expansion plans. The production review can then be built around flow, capacity, customer recovery, inventory, and dependable completion.