Lean Manufacturing Principles Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Production Managers, Manufacturing Engineers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-QP-046

Before you join: Participants should have experience of a manufacturing, maintenance, logistics or production-support process and be familiar with basic operational measures such as output, scrap, downtime, inventory or delivery performance.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Manufacturing sites often carry avoidable cost and delay in queues, rework, excess inventory, long changeovers, equipment losses and unclear work methods. These conditions reduce delivery reliability, consume capacity and make quality problems harder to detect. Lean manufacturing provides a disciplined system for identifying these losses, designing better flow and sustaining daily improvement without compromising safety, quality or customer requirements.

This course develops the practical skills needed to assess a production process and lead focused improvement work. Participants apply Lean principles, the Toyota Production System, value stream mapping, takt time, pull systems, Kanban, 5S, standard work, SMED, total productive maintenance, mistake-proofing and A3 problem solving. They learn to distinguish symptoms from root causes, quantify operational losses, select appropriate countermeasures and define measures that show whether improvements are holding.

Instruction combines short technical briefings with manufacturing cases, team analysis, process simulations and structured application planning. Participants work progressively on a selected production, service-support or material-flow process, using data and observations to develop a current-state assessment, future-state design and implementation plan. They leave with a documented Lean improvement plan that can be adapted for use at their own site, department or value stream.

The course is suited to managers, engineers, supervisors and improvement specialists who already work with operational processes and need a common method for improving quality, delivery, cost and productivity. It is relevant to discrete manufacturing, process industries, food production, pharmaceuticals, utilities, logistics and maintenance-intensive operations.

What you will be able to do

  • Diagnose process waste using the eight-waste framework and direct observation
  • Construct current-state and future-state value stream maps from operational data
  • Calculate takt time, cycle time, lead time, capacity and overall equipment effectiveness
  • Design pull systems using supermarkets, Kanban rules and replenishment signals
  • Develop standard work documents combining takt time, work sequence and standard inventory
  • Apply A3 problem solving to define root causes, countermeasures and verification measures
  • Create a Lean daily management system using visual controls and tiered escalation
  • Present a complete Lean improvement plan with quantified benefits and implementation actions

Benefits of attending

For you

  • Build confidence leading evidence-based improvement discussions with production teams
  • Create value stream maps that expose delay, inventory and information-flow failures
  • Use takt, OEE and changeover data to justify operational improvement priorities
  • Develop credible A3 proposals for managers, engineers and frontline teams
  • Apply standard work and visual management to sustain local process improvements

For your organisation

  • Shorter lead times through reduced queues, batch sizes and handoff delays
  • Higher first-pass yield through defect prevention and faster problem escalation
  • Improved asset availability through planned maintenance and loss analysis
  • Lower work-in-progress inventory through pull replenishment and supermarket design
  • Stronger daily performance control through visible measures and defined responses

Course modules

20 modules over 10 days

Participants can explain Lean manufacturing principles and relate them to operational performance.

  • Toyota Production System pillars: just-in-time, jidoka, and respect for people
  • Lean thinking distinguishes customer value, value streams, flow, pull, perfection
  • Management roles link strategy, daily work, and continuous improvement
  • Seven wastes and underused talent framed through manufacturing examples
  • Identify value-added, necessary non-value-added, and wasteful process activities
  • Lean maturity assessed through observable practices and performance evidence

Participants can observe work at the source and identify operational waste objectively.

  • Gemba observation records actual work rather than reported process descriptions
  • TIMWOODS categorises transport, inventory, motion, waiting, overproduction, overprocessing, defects, skills
  • Waste walks distinguish isolated incidents from recurring process conditions
  • Observe operator movement, material travel, queues, interruptions, and rework loops
  • Spaghetti diagrams reveal unnecessary travel by people, products, and information
  • Document observations using facts, timings, photographs, and defined process boundaries

Participants can translate customer needs into measurable operational requirements.

  • Voice of customer data converts needs into measurable delivery requirements
  • Critical-to-quality characteristics connect product specifications with process controls
  • Internal customers define handoff requirements between production and support functions
  • Quality, cost, delivery, safety, and morale measures expose competing priorities
  • Operational definitions prevent inconsistent interpretation of quality and productivity measures
  • Create a problem statement using customer impact and baseline evidence

Participants can establish a reliable baseline for a Lean improvement opportunity.

  • Baseline measures define current performance before selecting improvement countermeasures
  • Cycle time, lead time, touch time, and waiting time compared
  • Capacity calculations identify bottlenecks, constraints, and available production hours
  • Collect production data using check sheets and operational definitions
  • Run charts separate routine variation from special-cause process changes
  • Pareto analysis prioritises defects, delays, downtime categories, and loss sources

Participants can map process steps, handoffs and information flows at an appropriate level of detail.

  • SIPOC defines suppliers, inputs, process boundaries, outputs, and customers
  • Swimlane maps clarify responsibility across production, quality, maintenance, and planning
  • Process maps capture decisions, inspections, rework loops, and approval delays
  • Material flow analysis traces product movement from receipt through dispatch
  • Information flows identify schedules, signals, reports, and manual communication points
  • Map boundaries prevent improvement teams from analysing an unmanageable process scope

Participants can create a current-state value stream map using observed production data.

  • Value stream mapping connects material flow, information flow, and performance data
  • Process boxes record cycle time, changeover, uptime, operators, and scrap
  • Inventory triangles quantify queues between production and storage points
  • Timeline analysis separates value-adding time from total production lead time
  • Customer demand establishes the reference point for mapping production flow
  • Current-state maps expose bottlenecks, push scheduling, and excessive work-in-progress

Participants can determine demand-driven production pace and identify balancing actions.

  • Takt time converts available production time into customer-demand production pace
  • Compare cycle times against takt time to identify capacity gaps
  • Yamazumi charts display work content and imbalance across operators
  • Line balancing redistributes tasks while preserving safety, quality, and ergonomics
  • Bottleneck management protects constraint time and reduces starvation and blocking
  • Pitch defines a practical production interval for paced flow control

Participants can design improved flow using product families, cellular concepts and controlled batch sizes.

  • One-piece flow reduces waiting, transport, inventory, and defect concealment
  • Product-family analysis groups items with similar routing and processing requirements
  • Cellular layouts shorten travel distance and improve cross-process visibility
  • U-shaped cells support flexible staffing, communication, and balanced work allocation
  • Batch-size reduction exposes process instability and improves response to demand
  • Flow design considers safety, ergonomics, quality checks, and material presentation

Participants can design a basic pull system with clear replenishment rules.

  • Pull systems authorise production from actual downstream consumption signals
  • Supermarkets decouple processes while controlling inventory and replenishment frequency
  • Kanban cards specify part number, quantity, source, destination, and signal rules
  • Kanban calculations use demand, replenishment lead time, container size, safety factor
  • FIFO lanes control sequence, queue limits, and material ageing
  • Withdrawal and production Kanban coordinate internal material replenishment loops

Participants can establish workplace organisation standards that improve safety, quality and productivity.

  • 5S establishes sort, set in order, shine, standardise, and sustain
  • Red-tag campaigns distinguish essential items from obsolete tools and materials
  • Point-of-use storage reduces search time, motion, and handling errors
  • Visual controls show normal conditions, abnormalities, ownership, and response actions
  • Shadow boards, floor markings, labels, and photographs support workplace standards
  • Audit criteria measure adherence without turning 5S into housekeeping alone

Participants can document repeatable work methods that meet takt, quality and safety requirements.

  • Standard work combines takt time, work sequence, and standard in-process inventory
  • Work combination tables show manual, machine, walking, and waiting elements
  • Standard work charts locate operator movement, machine positions, and material points
  • Job instruction breakdowns identify major steps, key points, and reasons
  • Standardisation captures the best currently known safe and capable method
  • Revision controls ensure work instructions reflect approved process changes

Participants can analyse changeovers and develop actions to reduce setup time.

  • SMED separates internal setup tasks from external preparation tasks
  • Changeover observation records task sequence, elapsed time, motion, and waiting
  • Convert internal activities into external activities through advance preparation
  • Quick-release fixtures, preset tools, and visual settings reduce setup duration
  • Parallel operations reduce elapsed changeover time when safety permits
  • Setup reduction plans define owners, trials, standards, and verification measures

Participants can analyse equipment losses and define maintenance-based improvement actions.

  • Overall equipment effectiveness combines availability, performance, and quality losses
  • Six big losses structure analysis of equipment-related productivity problems
  • Planned maintenance reduces failure risk through scheduled inspection and replacement
  • Autonomous maintenance assigns basic cleaning, inspection, and lubrication activities
  • Downtime coding distinguishes breakdowns, minor stops, setups, and waiting
  • OEE dashboards connect equipment losses with production and maintenance decisions

Participants can design controls that prevent defects or detect them at the point of occurrence.

  • Jidoka stops abnormal processes before defects progress downstream
  • Poka-yoke methods prevent errors through physical, sensory, sequence, and information controls
  • Source inspection verifies error conditions before a defect can occur
  • Successive checks provide rapid feedback between adjacent process steps
  • Andon signals trigger defined escalation when safety, quality, or flow fails
  • Control plans link critical process conditions with reaction plans

Participants can structure a problem-solving effort from condition definition through follow-up.

  • A3 thinking structures problem definition, analysis, action, and learning
  • Five Whys tests causal logic beyond the first visible symptom
  • Fishbone diagrams organise potential causes across people, methods, machines, materials, measurement
  • Cause-and-effect validation uses evidence rather than assumptions or opinion
  • Countermeasures address verified causes while avoiding unsupported solution preferences
  • Follow-up measures confirm results, unintended effects, and standardisation needs

Participants can plan a focused Kaizen event with clear scope, roles and follow-through.

  • Kaizen events concentrate cross-functional effort on a defined operational problem
  • Event charters specify scope, target condition, measures, team, and constraints
  • Rapid experiments test countermeasures before permanent process changes are approved
  • Action registers record tasks, owners, due dates, dependencies, and status
  • Daily report-outs maintain alignment between frontline findings and leadership decisions
  • Post-event plans assign standardisation, training, auditing, and benefit tracking

Participants can assess production scheduling practices and propose methods for reducing variation.

  • Heijunka levels production volume and mix within available capacity
  • Production levelling reduces schedule instability, overtime, expedites, and inventory swings
  • Heijunka boxes sequence work using fixed intervals and product mix rules
  • Frozen zones protect near-term schedules from unmanaged order changes
  • Demand patterns distinguish predictable variation from exceptional customer requirements
  • Scheduling rules align finite capacity, material availability, and customer priorities

Participants can create a daily management routine for detecting and responding to performance gaps.

  • Daily management links strategic targets with frontline operational control
  • Tiered meetings escalate unresolved abnormalities through defined management levels
  • SQDCP boards display safety, quality, delivery, cost, and people measures
  • Visual performance boards compare actual results against targets and trends
  • Leader standard work assigns recurring checks, coaching, and escalation responsibilities
  • Response plans specify containment, owner, timing, and confirmation for deviations

Participants can establish ownership, controls and review practices that sustain Lean improvements.

  • Control plans define measures, frequencies, limits, owners, and response actions
  • Standard work audits verify method adherence and identify emerging drift
  • Training matrices show competence requirements for each process role
  • Change management addresses concerns, participation, communication, and supervisor support
  • Benefit tracking compares realised results with baseline performance and targets
  • Periodic reviews reassess risks, assumptions, and next improvement priorities

Participants can build, review and present a complete Lean improvement plan for a selected operational process.

  • Define the selected process, customer requirement, scope, and baseline condition
  • Present current-state mapping, waste evidence, constraints, and performance measures
  • Design a future-state flow using takt, pull, standard work, and controls
  • Prioritise countermeasures through impact, effort, risk, and implementation readiness
  • Build an implementation roadmap with owners, milestones, resources, and governance
  • Specify benefit measures, control methods, escalation routes, and review cadence
  • Peer review tests operational feasibility, data quality, and sustainability assumptions

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Current-state value stream map template
  2. Future-state Lean design model
  3. A3 problem-solving report template
  4. Standard work combination sheet
  5. Kanban sizing calculation worksheet
  6. Lean improvement implementation plan

Who should attend

  • Production Managers — improve throughput, delivery performance and resource use
  • Manufacturing Engineers — redesign processes using flow, pull and standard work
  • Operations Supervisors — manage daily performance and sustain workplace improvements
  • Continuous Improvement Specialists — lead structured Lean projects and Kaizen events
  • Quality Managers — reduce defects through built-in quality and root-cause methods
  • Maintenance Managers — reduce equipment losses through TPM and OEE management

Skills and tools covered

Value stream mappingWaste eliminationPull system designStandard work designA3 problem solvingDaily management

Tools and standards

Toyota Production System, Value Stream Mapping, A3 Problem Solving, Overall Equipment Effectiveness

How the course runs

Training methodology

The course uses short instructor briefings to establish each Lean method, followed by manufacturing cases, group analysis, process simulations and facilitated planning. Participants interpret production data, identify waste from observed process conditions, map material and information flows, and select countermeasures using practical decision criteria. Each participant develops elements of a Lean improvement plan throughout the course. Trainer feedback focuses on operational feasibility, measurement discipline, workforce involvement and the controls needed to sustain changed methods after implementation.

Requirements and prerequisites

Participants should have experience of a manufacturing, maintenance, logistics or production-support process and be familiar with basic operational measures such as output, scrap, downtime, inventory or delivery performance. They should be comfortable reading simple process data and discussing work methods with operators, supervisors and technical colleagues. Prior Lean training is not required. Statistical process control, advanced mathematics, Six Sigma certification, formal project management qualifications and prior experience with value stream mapping are not required. Participants benefit most when they can identify a real process to examine during the course.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

No previous Lean certification or formal improvement training is required. Participants should understand a production, maintenance, logistics or support process and be able to work with basic operational data.

Bring examples of a process you know well, such as production output data, downtime records, scrap figures, process layouts or work instructions. Sensitive information can be anonymised, and course templates can be completed using representative data.

It is designed for production managers, engineers, supervisors, quality professionals, maintenance leaders and continuous improvement staff. It also suits supply chain and operational support professionals working closely with factory processes.

Lean concentrates on flow, waste removal, visual control, standardisation and daily management. Six Sigma places greater emphasis on statistical analysis and variation reduction; this course includes practical data analysis but does not teach the full DMAIC body of methods.

Participants leave with a Lean improvement plan based on a selected process and can begin with a waste walk, baseline, current-state map or A3. The methods are suited to focused local improvements as well as wider value-stream projects.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first part develops diagnosis, mapping and flow design; the later part covers equipment, quality, problem solving, sustainment and the capstone plan.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.