Process Optimisation and Efficiency Improvement Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Operations Managers, Process Improvement Specialists and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-OM-041

Before you join: Participants should have experience working with, supervising, analysing or supporting operational processes.

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

Operational delays, rework, queues, excess hand-offs and uneven workloads raise cost while reducing service reliability. These problems appear in bank onboarding, public-service approvals, procurement, maintenance planning, claims handling, manufacturing lines and NGO programme delivery. Improvement efforts often stall because teams address visible symptoms without measuring the process, identifying the constraint, or testing whether a change produces a sustained result.

This course gives participants a structured approach to analysing and improving end-to-end processes. Participants map workflows using SIPOC and swimlane diagrams, define performance measures, collect reliable baseline data, identify waste and variation, analyse root causes, and prioritise improvement opportunities. The course uses Lean, Six Sigma DMAIC, value stream mapping, bottleneck analysis, standard work, visual management and control planning to connect process changes to measurable outcomes such as shorter cycle time, fewer errors, improved capacity and better customer experience.

Teaching combines focused instructor briefings with sector-based cases, facilitated team analysis, process simulations and application planning. Participants work with realistic operational data and make improvement decisions under constraints involving staffing, demand variation, compliance controls and service-level commitments. They leave with a process improvement charter, current-state analysis, prioritised improvement backlog, future-state process design and 90-day implementation plan that can be adapted to a live workplace process.

The course suits professionals responsible for service delivery, operations, quality, projects or cross-functional improvement initiatives. It is particularly useful for managers who need to improve performance without relying solely on additional headcount, new systems or major capital expenditure.

What you will be able to do

  • Map an end-to-end process using SIPOC, swimlanes and value stream mapping
  • Define CTQs, operational KPIs and baseline measures for process performance
  • Identify waste, variation, bottlenecks and failure points using Lean analysis
  • Analyse root causes using Pareto charts, fishbone diagrams and five whys
  • Prioritise improvement opportunities using impact-effort and risk assessment matrices
  • Design future-state workflows with standard work, error-proofing and visual controls
  • Build a DMAIC improvement charter with scope, measures, roles and benefits
  • Prepare a 90-day implementation and control plan for sustained process gains

Benefits of attending

For you

  • Diagnose operational problems using evidence rather than assumptions
  • Lead structured improvement discussions across functional boundaries
  • Produce credible business cases for process change
  • Reduce recurring firefighting through standardised process controls
  • Build a portfolio-ready improvement plan for a live operational issue

For your organisation

  • Shorter cycle times for customer, employee and supplier-facing processes
  • Lower rework, error correction and avoidable processing costs
  • Clearer accountability across hand-offs and process ownership
  • Better use of existing capacity before adding staff or systems
  • Sustained improvements through documented standards and control measures

Course modules

10 modules over 5 days

Participants can define a process improvement problem, scope and measurable performance objective.

  • Process purpose, customers, suppliers, inputs and outputs defined through SIPOC
  • Operational performance dimensions: quality, speed, cost, dependability and flexibility
  • Voice of customer translated into critical-to-quality requirements and service measures
  • Improvement charters specify problem statement, scope, targets, sponsor and team
  • In-scope boundaries prevent solution drift and uncontrolled project expansion
  • Process ownership distinguishes accountable owners from contributors and control functions

Participants can create a current-state map that exposes steps, decisions, hand-offs and delays.

  • Swimlane maps show responsibilities, hand-offs, approvals and decision points
  • Value stream mapping separates value-adding time from waiting and rework
  • Documenting process variants reveals hidden exceptions and informal workarounds
  • Customer journeys connect internal process steps with customer effort
  • Gemba observation records actual work rather than documented procedures
  • Process map validation uses frontline evidence, timestamps and transaction samples

Participants can establish reliable baseline measures for process efficiency, quality and flow.

  • Operational definitions make measures consistent across people, locations and shifts
  • Cycle time, lead time and touch time distinguished accurately
  • First-pass yield measures completed work without correction or rework
  • Baseline data plans specify sources, sampling periods and collection responsibilities
  • Run charts reveal trends, shifts and unusual performance patterns
  • Stratification separates results by channel, product, team and customer segment

Participants can identify non-value-adding work and improve flow through a process.

  • TIMWOODS identifies transport, inventory, motion, waiting, overproduction, overprocessing, defects and skills
  • Queue analysis explains how utilisation and variability increase waiting
  • Batch size reduction shortens feedback loops and work-in-progress accumulation
  • Pull systems trigger work from downstream demand rather than forecasts
  • Takt time compares required output pace with available working time
  • Little's Law links work-in-progress, throughput and average flow time

Participants can locate constraints and select actions that improve throughput without displacing problems.

  • Theory of Constraints identifies the resource limiting total process throughput
  • Capacity calculations compare available hours, demand volumes and staffing patterns
  • Bottleneck workload profiles distinguish persistent constraints from temporary peaks
  • Drum-buffer-rope protects constraint capacity and controls upstream work release
  • Work balancing redistributes tasks according to skills, demand and capacity
  • Cross-training plans reduce dependency on single specialists and critical roles

Participants can distinguish symptoms from root causes and test plausible causes with data.

  • Pareto analysis focuses investigation on the few dominant loss categories
  • Fishbone diagrams organise potential causes across people, methods, machines and materials
  • Five whys traces recurring failures beyond immediate operational symptoms
  • Scatter plots test possible relationships between process variables and outcomes
  • Failure mode and effects analysis prioritises risks using severity, occurrence and detection
  • Common-cause and special-cause variation require different management responses

Participants can design practical changes and select options using evidence, benefits and risk.

  • Future-state maps remove unnecessary steps, delays, approvals and duplicate entry
  • Standard work defines sequence, timing, expected output and escalation points
  • Poka-yoke prevents predictable errors before they reach customers
  • Impact-effort matrices compare improvement options against implementation difficulty
  • Cost-benefit analysis estimates savings, capacity release, investment and payback
  • Pilot designs define test scope, success measures, duration and safeguards

Participants can specify controls that make improved processes visible, repeatable and easier to manage.

  • Visual management boards display workload, performance, issues and actions
  • Standard operating procedures convert improved methods into controlled instructions
  • Checklists reduce omission risk in repeatable, high-consequence process steps
  • 5S improves workplace organisation, search time and abnormality detection
  • Automation suitability assesses rule stability, volume, exceptions and control requirements
  • Process mining evidence identifies actual paths, rework loops and compliance deviations

Participants can plan implementation, manage adoption risks and track realised process benefits.

  • RACI matrices assign implementation decisions, tasks, consultation and communication responsibilities
  • Stakeholder analysis identifies affected groups, concerns, influence and engagement actions
  • Change impact assessments address roles, skills, controls, systems and procedures
  • Implementation roadmaps sequence pilots, training, rollout, review and corrective action
  • Benefits registers track financial, capacity, quality and customer-service outcomes
  • Risk registers define owners, mitigations, triggers and contingency responses

Participants can prepare a controlled 90-day plan for improving a selected workplace process.

  • Control plans define measures, thresholds, review frequency and response actions
  • Process dashboards combine leading indicators with outcome performance measures
  • Daily management routines escalate abnormalities before service performance deteriorates
  • PDCA cycles maintain learning after pilots and full-scale implementation
  • Audits verify adherence to standard work and approved process controls
  • Ninety-day action plans sequence priorities, owners, milestones and review dates

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

What you take back to work

  1. DMAIC process improvement charter template
  2. SIPOC and swimlane process mapping templates
  3. Current-state and future-state value stream map
  4. Operational KPI baseline and data collection plan
  5. Root cause and prioritisation analysis pack
  6. 90-day implementation and control plan

Who should attend

  • Operations Managers — improve cost, speed, quality and service reliability
  • Process Improvement Specialists — structure evidence-based improvement projects
  • Project Managers — remove workflow constraints affecting delivery commitments
  • Quality Managers — reduce defects and strengthen process controls
  • Service Delivery Managers — shorten customer journeys and reduce hand-offs
  • Business Analysts — translate operational evidence into workable process changes

Skills and tools covered

Process mappingLean waste analysisRoot cause analysisBottleneck managementPerformance measurementImprovement implementation

Tools and standards

Lean, Six Sigma DMAIC, SIPOC, Value Stream Mapping

How the course runs

Training methodology

The course uses short instructor briefings followed by guided analysis of operational cases from service, public-sector, financial and industrial settings. Participants create process maps, interpret baseline data, diagnose waste and root causes, and compare improvement options in small groups. Simulations demonstrate the effects of queues, batch sizes, variation and hand-offs on flow. Facilitated peer review tests assumptions and improvement logic. Each participant develops an application plan for a workplace process, supported by reusable templates and instructor feedback.

Requirements and prerequisites

Participants should have experience working with, supervising, analysing or supporting operational processes. Familiarity with basic workflow steps, service measures, operational reports or project work is helpful. Participants should be able to interpret simple tables, percentages and charts, although advanced statistics are not required. No prior Lean Six Sigma certification, process engineering qualification, specialist software, programming knowledge or manufacturing background is required. Participants will gain most value by bringing a current process problem, such as delays, errors, backlog, customer complaints or excessive manual work.

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

You should have experience of working with or supporting an operational process, project or service. Prior Lean Six Sigma training is not required, and the course does not assume advanced statistical knowledge.

Bring a current process issue if possible, such as delays, rework, backlog, poor service levels or duplicated work. Existing process maps, KPI reports or customer complaint themes are useful but not essential.

It is designed for managers, analysts, quality professionals, project staff and service delivery leaders responsible for improving how work flows. It applies to transactional, service, administrative, operational and production processes.

This course focuses on practical process improvement methods that can be applied immediately without pursuing a formal belt certification. It covers key Lean and DMAIC methods while placing greater emphasis on implementation planning, operational controls and benefits tracking.

Participants can use the templates to define a problem, map the current process, collect baseline data and prioritise changes. The final application plan provides a structured starting point for an improvement discussion with a manager, sponsor or process owner.

Training runs from 08:30 to 16:30 each day, providing about 6.5 contact hours daily. Time is divided between instructor input, cases, group analysis, simulations, feedback and development of an individual workplace application plan.

Questions about this course?

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