Description

This curriculum spans the design and coordination of inventory management systems across forecasting, segmentation, network optimization, and technology integration, comparable in scope to a multi-phase operational improvement initiative involving cross-functional process redesign and system configuration in complex supply chain environments.

Module 1: Demand Forecasting and Planning Integration

Selecting between exponential smoothing and ARIMA models based on historical demand volatility and data availability across SKUs.
Calibrating forecast error tolerance thresholds that align with service level agreements and supply lead time variability.
Integrating statistical forecasts with sales and operations planning (S&OP) inputs while reconciling top-down and bottom-up projections.
Implementing forecast consumption logic to manage bias when actual demand deviates from projections in make-to-stock environments.
Designing forecast horizon roll-forwards that balance responsiveness with stability in master production scheduling.
Establishing data governance rules for forecast overrides, including audit trails and accountability for manual adjustments.

Module 2: Inventory Classification and Segmentation

Applying multi-attribute ABC analysis using turnover rate, cost, and criticality instead of revenue alone to segment SKUs.
Defining service level targets per segment (e.g., 98% for A-items, 90% for C-items) based on financial impact and customer contracts.
Managing exceptions in classification models when high-cost, low-turnover items skew traditional Pareto assumptions.
Updating classification thresholds quarterly and triggering reviews when product lifecycle transitions occur.
Aligning inventory policies (e.g., safety stock, reorder frequency) with segmentation outcomes across procurement and logistics teams.
Resolving conflicts between finance-driven inventory reduction goals and operations’ need for buffer stock in volatile segments.

Module 3: Safety Stock Modeling and Optimization

Calculating safety stock using lead time demand variability instead of simplistic rule-of-thumb multipliers.
Choosing between service-level-based and cost-constrained safety stock models depending on business priorities.
Adjusting safety stock formulas to account for non-normal demand distributions, especially for intermittent or lumpy demand.
Validating model outputs against historical stockout events and adjusting confidence levels accordingly.
Coordinating safety stock placement across echelons in multi-warehouse networks to avoid duplication and blind spots.
Reconciling statistical safety stock recommendations with physical storage constraints and shelf-life limitations.

Module 4: Replenishment Strategy Design

Selecting between periodic review (P-system) and continuous review (Q-system) based on ordering costs and supplier reliability.
Setting reorder points that incorporate supplier lead time variability and inbound quality failure rates.
Configuring min/max levels in ERP systems with dynamic adjustment rules for seasonal demand shifts.
Managing kanban implementation trade-offs between visibility and administrative overhead in mixed-mode production environments.
Designing vendor-managed inventory (VMI) agreements with clear KPIs for stock turnover and fill rate accountability.
Integrating replenishment logic with production scheduling constraints such as batch sizes and changeover times.

Module 5: Multi-Echelon Inventory Network Design

Determining optimal stocking locations for slow-moving parts in a regional distribution center vs. central warehouse model.
Modeling push vs. pull strategies at different echelons based on demand predictability and transportation lead times.
Calculating total network inventory to prevent local optimization that increases system-wide stock.
Implementing lateral transshipment protocols with cost-sharing rules between distribution centers.
Aligning safety stock deployment with service level differentiation across customer tiers in the network.
Updating network topology when mergers or facility closures alter transportation and fulfillment flows.

Module 6: Inventory Performance Measurement and KPI Governance

Defining inventory turnover calculation methodology (e.g., COGS vs. sales, cost layering) to ensure consistency across divisions.
Setting target days of supply ranges by product line, considering shelf life and obsolescence risk.
Tracking stockout frequency at the SKU-location level to identify systemic replenishment failures.
Monitoring slow-moving and obsolete inventory with automated aging reports and disposal workflows.
Reconciling physical cycle count variances with system inventory to correct data integrity issues.
Reporting inventory accuracy metrics with root cause categorization to prioritize process improvement efforts.

Module 7: Technology Integration and System Configuration

Mapping inventory transaction types to ERP workflows to ensure accurate real-time stock visibility.
Configuring lot traceability requirements in the WMS for regulated or serialized items.
Validating integration points between demand planning and inventory modules to prevent data latency issues.
Designing user roles and transaction authorizations to prevent unauthorized stock adjustments.
Implementing barcode/RFID scanning protocols to reduce manual entry errors in receiving and picking.
Testing system-generated replenishment recommendations against historical performance before go-live.

Module 8: Continuous Improvement and Obsolescence Management

Conducting quarterly SKU rationalization reviews to identify candidates for discontinuation or consolidation.
Establishing write-down procedures for excess inventory based on aging, market demand shifts, and supplier buyback terms.
Implementing root cause analysis for recurring overstock situations, focusing on forecasting or procurement errors.
Designing cross-functional process for managing end-of-life inventory across sales, finance, and operations.
Negotiating return agreements with suppliers for slow-moving items before committing to large orders.
Integrating lessons from inventory audits into procurement policy updates and vendor performance evaluations.