Description

This curriculum spans the design and execution of inventory management practices found in multi-workshop operational improvement programs, covering the integration of forecasting, classification, replenishment, and system governance as typically addressed in cross-functional supply chain transformation initiatives.

Module 1: Demand Forecasting and Planning Integration

Selecting between exponential smoothing and regression-based forecasting models based on historical data stability and seasonality patterns.
Configuring forecast error thresholds in the ERP system to trigger automatic review cycles when MAPE exceeds 15%.
Aligning statistical forecasts with sales and operations planning (S&OP) outputs, requiring reconciliation protocols between finance and supply chain teams.
Implementing demand sensing techniques using point-of-sale data for fast-moving SKUs with short life cycles.
Managing forecast overrides with audit trails to track manual adjustments and assign accountability.
Integrating new product introduction (NPI) forecasts into planning systems when no historical data exists, using analogous product rollouts.

Module 2: Inventory Classification and Stratification

Applying ABC analysis using annual consumption value, with dynamic reclassification triggers set at quarterly intervals.
Defining service level targets per class: 98% for A-items, 95% for B-items, and 90% for C-items based on profitability impact.
Extending classification to include risk factors such as supplier lead time variability and obsolescence exposure.
Mapping inventory classes to warehouse slotting strategies, prioritizing A-items for forward pick locations.
Adjusting classification rules for intermittent demand items using Croston’s method instead of standard turnover ratios.
Enforcing procurement policy exceptions based on classification, such as dual sourcing only for high-value A-items.

Module 3: Replenishment Strategy Design

Choosing between min/max, reorder point, and periodic review systems based on supplier lead time consistency and order frequency constraints.
Configuring safety stock formulas in the WMS using lead time standard deviation and desired cycle service level.
Implementing vendor-managed inventory (VMI) agreements with performance SLAs and data-sharing requirements.
Setting up kanban systems for repetitive manufacturing environments, including physical vs. e-kanban trade-offs.
Calibrating reorder points to account for batch production requirements and MOQs from suppliers.
Managing multi-echelon inventory policies across distribution centers and retail outlets using centralized optimization tools.

Module 4: Warehouse Execution and Inventory Accuracy

Designing cycle count programs with frequency based on ABC class and transaction volume, with root cause tracking for discrepancies.
Implementing barcode or RFID scanning at all inbound, outbound, and transfer touchpoints to reduce manual entry errors.
Enforcing putaway rules that prevent over-concentration of high-turnover items in distant storage zones.
Configuring system-directed picking logic to minimize travel time while maintaining batch integrity.
Managing reserved vs. available inventory states during order fulfillment to prevent overselling.
Integrating physical inventory adjustments with GL impact controls to maintain audit compliance.

Module 5: Obsolescence and Excess Stock Management

Defining aging thresholds (e.g., 365+ days) for automatic excess stock reporting and disposition workflows.
Establishing cross-functional review boards to evaluate write-downs, returns to vendor, or liquidation options.
Integrating obsolescence risk into new product introduction approvals to prevent legacy product cannibalization.
Configuring ERP alerts when inventory levels exceed forecasted consumption by more than 50%.
Executing stock transfer campaigns to redistribute slow-moving items to higher-demand locations.
Applying scrap approval workflows with financial sign-off for inventory write-offs above predefined thresholds.

Module 6: System Configuration and Master Data Governance

Standardizing SKU naming conventions across divisions to prevent duplication and enable consolidation.
Enforcing change control for lead time, safety stock, and MOQ updates in the ERP master data tables.
Validating unit of measure (UoM) hierarchies to support procurement, storage, and consumption conversions.
Managing lot and serial number tracking requirements based on regulatory or warranty compliance needs.
Reconciling item master data between ERP, WMS, and procurement systems using automated sync jobs.
Implementing inactive item archiving policies to reduce system clutter while retaining historical transaction access.

Module 7: Performance Measurement and Continuous Improvement

Tracking inventory turnover by business unit with benchmarks adjusted for industry-specific norms.
Calculating carrying cost components (capital, storage, obsolescence) to quantify holding expenses per SKU.
Monitoring stockout frequency and duration to assess service level degradation and lost sales impact.
Using root cause analysis for write-offs to identify systemic issues in planning or procurement.
Conducting post-mortems on major inventory variances to update control procedures.
Aligning KPI dashboards with operational roles: warehouse supervisors see accuracy rates, while planners monitor forecast bias.

Module 8: Integration with Procurement and Finance Systems

Mapping purchase order receipt workflows to inventory valuation methods (FIFO, standard cost) in the GL.
Enforcing three-way matching (PO, receipt, invoice) to prevent premature inventory capitalization.
Synchronizing supplier lead time updates from procurement contracts into inventory planning parameters.
Managing consignment inventory records with clear ownership flags to avoid balance sheet inclusion errors.
Generating intercompany transfer pricing rules that reflect true landed cost in multi-entity environments.
Providing finance teams with inventory aging and reserve reports for quarterly audit and provisioning cycles.