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Inventory Management in Process Management and Lean Principles for Performance Improvement

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This curriculum spans the design and execution of lean inventory systems across planning, sourcing, warehousing, and performance management, comparable in scope to a multi-workshop operational improvement program embedded within an organization’s end-to-end supply chain transformation.

Module 1: Foundations of Lean Inventory Systems

  • Decide between push and pull inventory models based on demand variability and supply chain lead times in a mixed-production environment.
  • Map material flow across production cells to identify non-value-added inventory staging points requiring elimination or consolidation.
  • Implement takt time calculations to align inventory replenishment intervals with customer demand rates.
  • Establish standard work procedures for material handlers to reduce variability in inventory movement and timing.
  • Conduct value stream mapping to quantify inventory holding costs at each process stage and prioritize reduction efforts.
  • Integrate 5S methodology in warehouse zones to improve inventory visibility and reduce search time for high-turnover items.

Module 2: Demand Forecasting and Inventory Planning

  • Select forecasting models (e.g., exponential smoothing, moving average) based on historical demand patterns and product lifecycle stage.
  • Adjust safety stock levels dynamically using statistical analysis of supplier lead time variability and forecast error.
  • Implement ABC analysis to allocate planning resources and cycle count frequency based on item value and consumption rate.
  • Coordinate with sales and operations teams to reconcile forecast assumptions with market intelligence and promotional plans.
  • Design inventory buffers for long-lead imported components while minimizing exposure to obsolescence risk.
  • Integrate forecast accuracy metrics into supplier scorecards to improve data sharing and reliability.

Module 3: Just-in-Time (JIT) Implementation and Supplier Integration

  • Negotiate vendor-managed inventory (VMI) agreements with key suppliers to shift replenishment responsibility and reduce internal stock levels.
  • Design milk-run logistics routes with suppliers to consolidate deliveries and reduce inbound receiving bottlenecks.
  • Implement kanban systems using physical or digital cards to signal replenishment only when consumption occurs.
  • Assess supplier capability and reliability before committing to JIT delivery schedules and reduced safety stocks.
  • Develop contingency plans for JIT disruptions, including temporary buffer locations and alternate sourcing options.
  • Standardize packaging and labeling with suppliers to enable direct line-side delivery and reduce handling steps.

Module 4: Inventory Accuracy and Cycle Counting

  • Design a cycle counting schedule that prioritizes high-value and high-movement SKUs while maintaining system accuracy.
  • Investigate root causes of inventory discrepancies by auditing transaction timing, data entry errors, and unauthorized withdrawals.
  • Implement barcode or RFID scanning at key material transfer points to improve transaction accuracy and traceability.
  • Define roles and accountability for inventory adjustments, requiring supervisor approval and documentation for write-offs.
  • Align warehouse management system (WMS) logic with physical layout to prevent misplacement and mispicking errors.
  • Conduct regular audits of scrap and return processes to ensure proper recording and prevent phantom inventory.

Module 5: Lean Metrics and Performance Monitoring

  • Track inventory turnover by product family and compare against industry benchmarks to identify underperforming categories.
  • Calculate days of inventory on hand (DOH) monthly to assess liquidity and working capital efficiency.
  • Monitor stockout frequency and duration to evaluate the impact of inventory reduction initiatives on service levels.
  • Use first-pass yield data from production to correlate material quality issues with excess scrap and rework inventory.
  • Implement visual dashboards in production areas to display real-time inventory levels and consumption rates.
  • Link inventory KPIs to operational reviews to drive accountability and continuous improvement actions.

Module 6: Warehouse Layout and Material Flow Optimization

  • Redesign storage locations based on pick frequency and ergonomics to minimize travel time and handling effort.
  • Implement flow racks or FIFO lanes for perishable or time-sensitive materials to prevent aging and spoilage.
  • Segregate repair, scrap, and quarantine areas to prevent cross-contamination with usable inventory.
  • Optimize slotting strategies during product line expansions to balance space utilization and access speed.
  • Evaluate the trade-off between vertical storage density and retrieval efficiency when selecting racking systems.
  • Integrate point-of-use storage near assembly stations to reduce material handling and batch transfer delays.

Module 7: Technology Integration and System Enablement

  • Select WMS features based on operational complexity, such as lot tracking, serial number management, and put-away logic.
  • Configure min/max alerts in ERP systems to trigger replenishment without generating excessive work orders.
  • Integrate real-time machine consumption data with inventory systems for automated raw material deduction.
  • Test EDI connectivity with suppliers to ensure timely and accurate exchange of delivery schedules and ASN data.
  • Validate data synchronization between production scheduling and inventory modules to prevent over-issuance.
  • Deploy mobile devices for inventory transactions to reduce delays and transcription errors in data entry.

Module 8: Change Management and Sustaining Improvements

  • Develop standardized work instructions for new inventory processes and train supervisors to enforce compliance.
  • Establish cross-functional ownership of inventory KPIs to align purchasing, production, and logistics teams.
  • Conduct regular gemba walks to observe inventory practices and identify deviations from standard work.
  • Implement a structured problem-solving process (e.g., A3, 8D) to address recurring inventory discrepancies.
  • Rotate inventory audit responsibilities to build organizational capability and reduce dependency on specialists.
  • Update control plans and process documentation after kaizen events to reflect revised inventory handling procedures.