Production Quality and Productivity for Supervisors Training Course

Course overview

Production supervisors are expected to deliver daily output without allowing quality losses, rework, downtime, material waste or unsafe shortcuts to become accepted operating practice. The challenge is not simply knowing the production target; it is seeing the relationship between shift performance, process variation, operator capability, equipment condition and customer requirements early enough to act. This course equips supervisors to manage the production floor with evidence rather than assumptions, balancing throughput, conformance and cost at the point where work is performed.

Participants learn to translate business measures into controllable shop-floor indicators, set up practical visual controls and lead structured daily performance reviews. They apply Pareto analysis, process mapping, standard work, 5 Why analysis, fishbone diagrams, control charts and basic overall equipment effectiveness (OEE) measures to recurring production problems. The course also covers first-pass yield, takt time, capacity, line balancing, defect containment, corrective-action verification and escalation routines that protect the customer while maintaining production flow.

Instruction combines short technical briefings with production scenarios, team analysis of realistic shift data and facilitated supervisor simulations. Participants work with production logs, defect records, downtime codes and sample KPI dashboards to make decisions under realistic operating constraints. Each participant leaves with a supervisor-ready Quality and Productivity Improvement Pack: a current-state process map, daily KPI board design, loss-analysis worksheet, root-cause investigation, corrective-action plan and 30-day implementation plan tailored to their own production area.

The programme is designed for experienced front-line leaders in manufacturing, assembly, processing, packaging and maintenance-supported operations who need stronger methods for controlling performance across a shift or production cell.

Course objectives

By the end of this course, participants will be able to:

• Calculate first-pass yield, scrap rate, rework rate and OEE from production, quality and downtime records
• Build a shift-level KPI board using safety, quality, delivery, cost and people measures
• Map a production process with value-added steps, hand-offs, constraints and quality-control points
• Apply Pareto charts, 5 Why analysis and fishbone diagrams to isolate recurring production losses
• Set standard work and takt-time expectations for a production cell or line
• Use basic control charts to distinguish common-cause variation from special-cause variation
• Lead a structured daily accountability meeting using visual management and escalation rules
• Produce a 30-day quality and productivity improvement plan with owners, measures and verification dates

Benefits of attending

Target competencies

Who should attend

• Production Supervisors — who must meet shift targets while controlling defects, downtime and labour deployment
• Manufacturing Supervisors — who need practical methods to stabilise processes and improve first-pass yield
• Shift Leaders — who coordinate operators, handovers and immediate responses to production losses
• Team Leaders — who need to turn daily performance data into clear actions for their work areas
• Quality Supervisors — who work with operations to contain defects and verify corrective actions
• Operations Coordinators — who track production performance and support cross-functional improvement activity

Requirements and prerequisites

Participants should have at least six months of experience supervising, leading or supporting a production, assembly, processing or packaging operation. They should be comfortable reading basic production figures such as units produced, rejects, downtime and staffing levels, and should understand the flow of work in their own area. Familiarity with Microsoft Excel is useful for the data exercises, including entering formulas and sorting simple tables. Prior Lean, Six Sigma, statistical-process-control or ISO 9001 training is not required; the course introduces the required methods at a practical supervisory level rather than assuming specialist quality expertise.

Training methodology

The five days use instructor-led demonstrations, worked production calculations and hands-on analysis of a simulated manufacturing line. Participants interpret shift reports, downtime logs, reject data and demand figures in Excel; construct process maps and visual boards; and practise leading tiered daily meetings and corrective-action discussions. Case material follows defects, equipment losses and delivery pressure across several shifts, requiring teams to make containment and prioritisation decisions. On the final day, each participant converts course tools into a 30-day application plan for a real production area, reviewed by the instructor against measurable performance criteria.

Course outline

Day 1: Controlling the Production System

• The supervisor's quality, delivery and cost accountabilities
• Leading and lagging indicators for daily production control
• First-pass yield, scrap, rework and defect-rate calculations
• Takt time, cycle time and capacity fundamentals
• Production-loss categories and operational definitions
• Process mapping from material receipt to finished output
• Daily tier meetings, handovers and escalation pathways

Workshop: Participants map a representative production process and create a first draft of a shift KPI board with agreed measures and trigger limits.

Day 2: Measuring Quality and Process Variation

• Defining critical-to-quality characteristics and acceptance criteria
• Data collection plans for defects, rework and process checks
• Check sheets and defect stratification by shift, machine and product
• Pareto analysis for prioritising quality losses
• Run charts and basic control-chart interpretation
• Common-cause versus special-cause variation
• Defect containment and customer-protection decisions

Workshop: Using a defect dataset, participants build a Pareto chart and control-chart summary, then recommend containment actions for the highest-risk issue.

Day 3: Improving Flow, Output and Equipment Effectiveness

• Overall equipment effectiveness availability, performance and quality factors
• Downtime coding and planned-versus-unplanned loss analysis
• Bottleneck identification and constraint management
• Line balancing using work content and takt time
• Standard work sequence, work-in-process limits and visual aids
• Changeover loss reduction using SMED principles
• Operator capability, training matrices and flexible staffing

Workshop: Teams analyse a line-loss report, calculate OEE and rebalance a constrained production line to meet revised demand.

Day 4: Solving Problems and Sustaining Corrective Action

• Problem statements using the is-is-not method
• 5 Why analysis and evidence-based causal chains
• Fishbone diagrams using people, machine, material, method and measurement categories
• Verification of root cause versus symptom treatment
• Corrective and preventive action planning
• Error-proofing concepts and control-point design
• A3 problem-solving reports and action tracking

Workshop: Participants complete an A3-style investigation for a recurring defect, including root-cause evidence, corrective actions, owners and verification checks.

Day 5: Leading Daily Performance Improvement

• Visual management board layout and KPI ownership
• Daily accountability meeting agendas and escalation rules
• Supervisor communication during quality holds and output shortfalls
• Coaching operators on standard work and abnormality reporting
• Prioritising improvement actions by impact, effort and risk
• Thirty-day implementation planning and review cadence
• Linking shop-floor measures to management reporting

Workshop: Each participant presents a 30-day Quality and Productivity Improvement Pack for their area and receives instructor and peer challenge on measures, ownership and follow-through.

Tools & standards covered

Microsoft Excel, Minitab, Microsoft Power BI, ISO 9001:2015

A typical training day

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

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions