Description

The curriculum spans the design and execution of logistics networks, inventory systems, transportation operations, and technology integration, reflecting the multi-phase problem-solving found in enterprise supply chain transformations and systems optimization initiatives.

Module 1: Strategic Network Design and Facility Location

Selecting between centralized, regional, and decentralized distribution networks based on demand density, transportation costs, and service-level requirements.
Evaluating tax incentives, labor availability, and infrastructure quality when finalizing warehouse locations across jurisdictions.
Conducting sensitivity analysis on fuel price fluctuations and their impact on optimal facility placement.
Assessing trade-offs between lease commitments for long-term facilities versus flexible short-term warehousing agreements.
Integrating supplier proximity into facility location models to reduce inbound freight lead times.
Modeling service area overlap to prevent internal competition among company-owned distribution centers.

Module 2: Inventory Optimization and Demand Forecasting

Implementing statistical forecasting models while adjusting for known promotions, seasonality, and market disruptions.
Setting safety stock levels using historical lead time variability and desired service level targets.
Choosing between periodic and continuous review inventory systems based on product criticality and replenishment cycles.
Managing slow-moving and obsolete inventory through write-down triggers and disposition workflows.
Aligning forecast ownership across sales, operations, and finance to reduce bias and improve accountability.
Integrating point-of-sale data from key retail partners to improve forecast accuracy for consumer goods.

Module 3: Transportation Planning and Carrier Management

Designing multi-stop route plans that comply with driver hours-of-service regulations and delivery time windows.
Conducting freight bid events with carriers while balancing cost, reliability, and capacity commitments.
Deciding between private fleet ownership and third-party carrier contracts based on volume stability and control needs.
Implementing backhaul optimization strategies to reduce empty miles in dedicated lanes.
Monitoring carrier performance using on-time pickup/delivery rates and claims ratios for contract renewals.
Integrating real-time GPS data into transportation management systems for exception management and ETA updates.

Module 4: Warehouse Operations and Material Flow

Configuring slotting strategies based on item velocity, size, and picking method to reduce travel time.
Designing cross-dock operations to minimize storage handling for fast-turnover inbound-to-outbound goods.
Implementing barcode or RFID scanning at key control points to maintain inventory accuracy.
Standardizing pick paths and batch picking logic to improve labor productivity in fulfillment zones.
Allocating labor shifts based on forecasted order volume and peak processing windows.
Integrating warehouse management system (WMS) alerts for stockouts, misplacements, and cycle count variances.

Module 5: Integration of ERP and Supply Chain Systems

Mapping master data fields between ERP and logistics platforms to ensure consistent item, location, and unit of measure definitions.
Configuring real-time versus batch data synchronization based on system latency tolerance and transaction volume.
Resolving discrepancies in inventory balances between financial ERP records and warehouse execution systems.
Designing exception workflows for failed transactions between procurement, logistics, and accounting modules.
Establishing user role permissions across integrated systems to enforce segregation of duties.
Validating end-to-end order fulfillment workflows from customer order entry to shipment confirmation and invoicing.

Module 6: Performance Measurement and Key Metrics

Defining and tracking on-time in-full (OTIF) delivery performance across customer segments.
Calculating warehouse capacity utilization and labor efficiency (e.g., lines per hour) for operational benchmarking.
Monitoring freight cost per unit shipped and identifying cost drivers by lane and mode.
Setting threshold alerts for inventory turnover ratios to flag underperforming stock.
Aligning logistics KPIs with corporate financial goals such as working capital and EBITDA impact.
Conducting root cause analysis on metric deviations using drill-down dashboards and audit logs.

Module 7: Risk Management and Resilience Planning

Identifying single points of failure in transportation lanes and developing alternate routing protocols.
Establishing inventory pre-positioning strategies in anticipation of port strikes or customs delays.
Conducting business impact analysis to prioritize continuity efforts for high-revenue product lines.
Validating insurance coverage adequacy for cargo in transit and stored goods across regions.
Implementing dual sourcing for critical components to mitigate supplier disruption risks.
Testing disaster recovery procedures for logistics IT systems, including WMS and TMS failover.

Module 8: Continuous Improvement and Technology Adoption

Conducting time-motion studies to identify bottlenecks in loading dock operations and staging areas.
Evaluating automation technologies such as shuttle systems or autonomous guided vehicles (AGVs) for ROI and scalability.
Integrating predictive analytics for maintenance scheduling of material handling equipment.
Running A/B tests on packaging configurations to reduce dimensional weight charges.
Adopting digital twin models to simulate network changes before physical implementation.
Establishing governance for pilot programs to assess new logistics technologies before enterprise rollout.