Description

This curriculum spans the design and operationalization of segment-driven capacity planning systems, comparable in scope to a multi-phase internal transformation program that integrates demand forecasting, network design, and S&OP processes across a global supply chain.

Module 1: Defining Segmentation Criteria Based on Demand Patterns

Select which product attributes (e.g., volume, volatility, seasonality) will drive segmentation, balancing granularity with operational feasibility.
Determine thresholds for high vs. low demand variability using historical forecast error (MAPE) over 12–24 months.
Classify SKUs into ABC categories using annual consumption value while adjusting for strategic importance or supply risk.
Decide whether to segment by customer, channel, or product, considering downstream impacts on inventory and fulfillment.
Integrate new product introductions into existing segmentation frameworks using proxy data or analogous products.
Establish rules for dynamic reclassification frequency (e.g., quarterly reviews) and triggers (e.g., >20% volume shift).
Validate segmentation logic with sales and operations planning (S&OP) stakeholders to prevent misalignment.
Document segmentation rationale and decision ownership to support audit and governance requirements.

Module 2: Aligning Capacity Models with Segment-Specific Service Levels

Assign differentiated service level targets (e.g., 98% for Segment A, 90% for Segment C) based on profitability and strategic value.
Map service levels to safety stock calculations, adjusting z-scores and lead time variability assumptions per segment.
Size buffer capacity (production, warehousing, transportation) proportional to segment service commitments and demand uncertainty.
Configure MRP parameters (e.g., lot sizes, order policies) differently across segments to reflect replenishment behavior.
Allocate constrained production capacity using segment-based priority rules during supply shortages.
Model the cost of service level deviations for each segment to inform trade-off decisions during capacity crunches.
Link capacity planning outputs to customer service KPIs in performance dashboards by segment.
Negotiate service level agreements (SLAs) with internal stakeholders per segment, formalizing expectations and accountability.

Module 3: Demand Forecasting at the Segment Level

Choose forecasting models (e.g., exponential smoothing, ARIMA, ML-based) based on segment-specific data richness and pattern stability.
Implement forecast disaggregation logic from segment to SKU level, ensuring consistency with top-down constraints.
Determine forecast horizon length per segment, extending further for stable segments and shortening for volatile ones.
Integrate promotional calendars and market intelligence selectively, prioritizing high-impact segments.
Set forecast override controls to prevent local bias while allowing expert input for strategic segments.
Measure and compare forecast accuracy (e.g., WMAPE) across segments to identify model calibration needs.
Automate forecast refresh cycles per segment, aligning with planning calendar and data availability.
Document forecast assumptions and model parameters for audit and regulatory compliance.

Module 4: Supply Network Design and Capacity Allocation

Assign manufacturing sites or DCs to segments based on capability, proximity, and cost-to-serve.
Decide whether to dedicate or share facilities across segments, weighing flexibility against control.
Size cross-dock vs. storage capacity in distribution centers based on segment throughput and dwell time.
Model lane-specific transportation capacity (e.g., truckload, rail) by segment demand profile and delivery frequency.
Allocate shared production lines using time-based windows (e.g., Segment A products on Mondays).
Design safety capacity buffers at bottleneck nodes, sized according to segment criticality and variability.
Simulate network stress scenarios (e.g., port closures) to test segment-specific resilience.
Update network design when segment volumes shift beyond predefined thresholds (e.g., +30% YoY).

Module 5: Inventory Strategy and Stock Placement

Set inventory deployment policies (push vs. pull) per segment based on lead time and demand predictability.
Determine optimal stocking locations (e.g., regional DCs vs. central hub) for high-priority segments.
Define min/max levels and reorder points differently across segments using service level and lead time inputs.
Implement cycle counting frequency and accuracy targets aligned with segment value and turnover.
Decide whether to pool or segregate inventory for shared components used across segments.
Optimize safety stock placement using multi-echelon inventory modeling tools per segment.
Monitor inventory aging reports by segment to trigger obsolescence mitigation actions.
Align inventory ownership (consignment vs. title transfer) with segment-specific commercial agreements.

Module 6: Integration with Sales and Operations Planning (S&OP)

Structure S&OP meeting agendas to review segment-level performance, risks, and trade-offs.
Present capacity constraints and demand plans disaggregated by segment to enable informed decisions.
Define escalation paths for segment-specific imbalances (e.g., Segment A demand exceeds capacity).
Align financial planning outputs with segment-level volume and capacity assumptions.
Integrate new product launch plans into segment capacity models during S&OP cycles.
Track consensus forecast adherence by segment to measure S&OP effectiveness.
Use scenario planning tools to model capacity expansion or contraction by segment.
Ensure cross-functional ownership (sales, supply chain, finance) for segment-level targets.

Module 7: Technology Enablement and System Configuration

Configure ERP modules (e.g., SAP IBP, Oracle SCM) to support segment-specific planning parameters.
Design data models that maintain segment classification across demand, inventory, and capacity tables.
Build automated alerts for segment-specific threshold breaches (e.g., capacity utilization >90%).
Integrate advanced analytics platforms to refresh segmentation logic using real-time data.
Map segment rules into TMS and WMS systems to influence fulfillment execution.
Validate system-generated recommendations (e.g., safety stock) against segment service targets.
Implement role-based dashboards showing KPIs relevant to each segment and function.
Establish data governance protocols to maintain segment data integrity across systems.

Module 8: Performance Monitoring and Continuous Improvement

Define KPIs per segment (e.g., OTIF, inventory turns, capacity utilization) and assign ownership.
Conduct monthly performance reviews comparing actuals to segment-specific plans.
Investigate root causes of underperformance in specific segments using drill-down analytics.
Adjust segmentation criteria or capacity plans based on sustained KPI deviations.
Benchmark segment performance against industry peers or internal best-in-class units.
Implement corrective action plans for segments consistently missing service or cost targets.
Update capacity planning models quarterly using feedback from execution performance.
Document process improvements and share learnings across business units with similar segments.

Module 9: Change Management and Organizational Alignment

Identify key stakeholders impacted by segment-specific capacity decisions and their influence.
Develop communication plans to explain capacity allocation logic to regional or functional leads.
Train planners on segment-specific workflows and decision rights in the planning process.
Address resistance from teams losing capacity or inventory due to segment prioritization.
Align incentive structures with segment performance to reinforce desired behaviors.
Establish cross-functional governance committees to resolve segment-level conflicts.
Update job descriptions and RACI matrices to reflect new segment-based responsibilities.
Conduct readiness assessments before rolling out new segmentation or capacity models.