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Performance Measurement in Lean Practices in Operations

Performance Measurement in Lean Practices in Operations

$249.00
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Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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This curriculum spans the design and integration of performance metrics across lean operations, comparable in scope to a multi-phase operational excellence program involving cross-functional alignment, system integration, and sustained process control.

Module 1: Defining Lean Performance Metrics Aligned with Strategic Objectives

  • Selecting lead versus lag indicators based on operational control points and decision-making timelines.
  • Mapping value stream metrics to enterprise KPIs without creating conflicting incentives across departments.
  • Establishing baseline performance data from existing ERP and MES systems prior to Lean implementation.
  • Resolving disagreements between operations and finance on acceptable definitions of throughput and cycle time.
  • Designing unit-level metrics that aggregate meaningfully at plant and divisional levels.
  • Documenting assumptions behind metric calculations to ensure auditability and cross-functional alignment.

Module 2: Value Stream Mapping and Flow Efficiency Measurement

  • Conducting time observation studies to distinguish value-added from non-value-added time in mixed-model production.
  • Determining appropriate scope for value stream mapping when processes span multiple facilities.
  • Calculating takt time in environments with variable demand and shared equipment.
  • Handling discrepancies between actual process times and standard times in legacy routing data.
  • Integrating customer demand data into takt calculations when forecasts are unreliable.
  • Deciding whether to map material and information flows separately or in an integrated format.

Module 3: Implementing Real-Time Operational Dashboards

  • Selecting data collection frequency based on process stability and control requirements.
  • Integrating manual shop floor data entry with automated PLC and SCADA systems in hybrid environments.
  • Designing visual controls that support operator decision-making without causing information overload.
  • Addressing latency issues when pulling data from legacy systems with batch processing cycles.
  • Defining escalation protocols for out-of-bound metrics to ensure timely response.
  • Securing role-based access to dashboard views without creating data silos.

Module 4: Measuring and Managing Changeover Performance

  • Distinguishing internal from external setup activities during SMED analysis in multi-product lines.
  • Validating reported changeover times against production log timestamps to detect underreporting.
  • Allocating downtime costs to product families for accurate product profitability analysis.
  • Standardizing changeover procedures across shifts to eliminate performance variance.
  • Tracking tooling and fixture availability as a constraint on setup reduction efforts.
  • Assessing the impact of reduced batch sizes on material handling and scheduling complexity.

Module 5: Inventory Turnover and Pull System Effectiveness

  • Calculating days of supply using FIFO-adjusted inventory levels in high-mix environments.
  • Setting kanban quantities when demand exhibits seasonality or trend shifts.
  • Monitoring supermarket fill rates to detect upstream process instability.
  • Reconciling physical inventory counts with system records to maintain metric integrity.
  • Adjusting buffer stock levels based on supplier delivery performance history.
  • Identifying phantom inventory through transaction audit trails in ERP systems.

Module 6: Quality Integration in Lean Performance Systems

  • Assigning ownership for defect tracking when failures occur at process handoffs.
  • Integrating first-pass yield calculations into OEE without double-counting losses.
  • Using Pareto analysis to prioritize quality metrics that impact customer delivery performance.
  • Linking in-process inspection results to real-time production stoppage decisions.
  • Calibrating measurement systems to ensure defect data consistency across shifts.
  • Tracking rework time as a separate loss category in cycle time analysis.

Module 7: Sustaining Performance Through Standard Work and Audits

  • Developing layered audit checklists that verify both compliance and effectiveness of standards.
  • Aligning standard work documents with actual operator behavior through periodic observation.
  • Scheduling audit frequencies based on process criticality and historical deviation rates.
  • Integrating audit findings into corrective action systems with closed-loop tracking.
  • Updating work instructions following kaizen events while maintaining revision control.
  • Measuring adherence to standard work using time study data versus self-reported compliance.

Module 8: Continuous Improvement Portfolio Management

  • Prioritizing improvement projects using weighted scoring based on strategic impact and effort.
  • Tracking kaizen event outcomes beyond initial gains to assess sustainability over six months.
  • Allocating improvement resources across value streams with competing performance gaps.
  • Using control charts to distinguish common cause variation from special cause events in performance data.
  • Documenting countermeasures in a searchable knowledge base for organizational learning.
  • Revising performance targets quarterly based on capability improvements and market changes.
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