Description

This curriculum spans the design and execution of inventory management practices found in multi-workshop operational improvement programs, covering strategic planning, system configuration, network coordination, and cross-functional governance as applied in complex, multi-echelon supply chains.

Module 1: Strategic Inventory Planning and Demand Alignment

Establishing service level targets (e.g., 95% vs. 99% in-stock) and balancing them against carrying cost implications across product categories.
Selecting forecasting models (exponential smoothing, ARIMA, or machine learning) based on product lifecycle stage and demand volatility.
Integrating sales and operations planning (S&OP) outputs into inventory targets while reconciling conflicting inputs from sales, finance, and supply chain.
Deciding on safety stock placement across a multi-echelon network (central DC vs. regional warehouses) based on lead time variability and customer response requirements.
Adjusting inventory parameters quarterly to reflect seasonality, promotions, and new product introductions using historical lift analysis.
Managing consensus forecasting disagreements between commercial and supply chain teams through structured exception review meetings and escalation protocols.

Module 2: Inventory Classification and Segmentation

Implementing ABC analysis using 80/20 revenue contribution rules while adjusting thresholds for high-margin, low-volume SKUs.
Extending classification beyond ABC to include XYZ (demand variability) and FSN (movement frequency) for nuanced control policies.
Assigning distinct reorder policies (e.g., min/max vs. periodic review) based on classification outcomes and operational constraints.
Reconciling conflicting classification results when a SKU is A-class for revenue but S-class for slow movement, requiring policy overrides.
Updating classification rules annually or after major product portfolio changes, ensuring alignment with current business strategy.
Designing exception reports to flag misclassified items due to sudden demand shifts or obsolescence risks.

Module 3: Replenishment System Configuration

Configuring reorder point and order quantity logic in ERP systems (e.g., SAP, Oracle) to reflect actual supplier lead times and MOQ constraints.
Setting up dynamic safety stock calculations that adjust based on real-time forecast error and supplier performance data.
Managing system-generated purchase recommendations by applying manual overrides during known demand spikes or supply disruptions.
Integrating lead time variability data from procurement into replenishment algorithms to prevent chronic under-ordering.
Defining lot-sizing rules (e.g., fixed order quantity, lot-for-lot) based on handling costs, shelf life, and storage constraints.
Validating system-generated order proposals against warehouse capacity and labor availability before release.

Module 4: Multi-Warehouse and Network Optimization

Allocating inventory across distribution centers based on regional demand patterns and transportation cost structures.
Implementing push vs. pull replenishment strategies depending on product stability and DC role (e.g., cross-dock vs. storage).
Designing inter-warehouse transfer protocols to address stockouts without triggering unnecessary expedited shipments.
Optimizing safety stock distribution in a network with shared resources, considering covariance of demand across locations.
Managing transshipment decision rules, including cost thresholds and approval workflows for emergency transfers.
Evaluating the impact of centralizing slow-moving inventory on service levels and transportation expenses.

Module 5: Obsolescence and Excess Inventory Control

Establishing write-down triggers based on aging thresholds (e.g., 365+ days) and forecast consumption rates.
Implementing disposal workflows for obsolete stock, including vendor returns, liquidation channels, or charitable donations.
Assigning ownership for excess inventory reviews across procurement, operations, and finance to ensure accountability.
Linking new product introductions to phase-out plans for legacy items to prevent duplication and stranded inventory.
Conducting root cause analysis on recurring excess stock incidents, particularly after forecast or promotion failures.
Using inventory health dashboards to track obsolescence risk and prioritize mitigation actions by financial exposure.

Module 6: Performance Measurement and KPI Governance

Defining and calibrating inventory turnover targets by business unit, considering industry benchmarks and product mix.
Tracking days of supply by category and reconciling discrepancies between financial reporting and operational data.
Monitoring stockout frequency at the SKU-location level to identify systemic replenishment failures.
Establishing service level measurement rules, including whether backorders count as fulfilled or missed.
Aligning KPI incentives across departments to prevent gaming behaviors, such as overstocking to hit fill rate targets.
Conducting monthly inventory performance reviews with cross-functional leads to drive accountability and action.

Module 7: Technology Integration and Data Integrity

Validating master data accuracy (e.g., lead times, MOQs, packaging units) in ERP systems before running replenishment cycles.
Integrating point-of-sale data from retail channels into demand sensing models for faster response to consumption shifts.
Resolving system discrepancies between perpetual inventory records and physical counts through cycle count root cause analysis.
Configuring barcode scanning workflows to minimize misplacement and ensure real-time inventory visibility.
Managing data latency issues between warehouse management systems (WMS) and ERP, particularly during peak operations.
Implementing change control processes for inventory parameter updates to prevent unauthorized or erroneous adjustments.

Module 8: Supplier and Procurement Collaboration

Negotiating vendor-managed inventory (VMI) agreements with key suppliers, including data sharing and performance metrics.
Aligning purchase order release schedules with supplier production cycles to reduce lead time variability.
Establishing minimum and maximum stocking levels at supplier consignment locations with clear ownership transfer rules.
Managing inbound quality failures that disrupt inventory planning, including quarantine processes and supplier chargebacks.
Coordinating with procurement on long-lead items to secure capacity and buffer against supply chain disruptions.
Reviewing supplier performance dashboards monthly to adjust safety stock levels based on delivery reliability trends.