Description

This curriculum spans the design and coordination of end-to-end logistics networks, comparable in scope to a multi-phase operational redesign engaged by a global manufacturer to align warehouse, transportation, and inventory systems with strategic resilience and efficiency goals.

Module 1: Strategic Network Design and Facility Location

Selecting between centralized and decentralized distribution networks based on service-level requirements, transportation costs, and regional demand variability.
Evaluating tax incentives, labor availability, and infrastructure quality when finalizing warehouse locations across international borders.
Conducting gravity-based modeling to identify optimal facility locations that minimize total inbound and outbound transportation spend.
Assessing real estate lease terms, scalability, and proximity to major transportation hubs when negotiating warehouse contracts.
Integrating sustainability targets into network design by minimizing carbon miles and optimizing load factors across lanes.
Aligning facility placement with supply chain resilience strategies, including multi-sourcing and nearshoring initiatives.

Module 2: Transportation Management and Carrier Integration

Negotiating rate structures with carriers based on volume commitments, lane density, and seasonal demand fluctuations.
Implementing transportation management systems (TMS) with embedded optimization engines for load consolidation and route planning.
Managing contractual SLAs with third-party logistics (3PL) providers for on-time pickup and delivery performance.
Deciding between private fleet ownership and outsourced carrier models based on control, cost, and service needs.
Integrating real-time carrier data feeds into enterprise systems for shipment visibility and exception management.
Addressing cross-border compliance including customs documentation, bonded carrier selection, and duty management.

Module 3: Warehouse Operations and Material Flow Optimization

Designing warehouse layouts to minimize travel time using ABC analysis and slotting optimization algorithms.
Implementing barcode scanning and RFID systems to reduce picking errors and improve inventory accuracy.
Configuring labor management systems to track productivity and allocate resources during peak cycles.
Selecting between automated storage and retrieval systems (AS/RS) and manual operations based on throughput and SKU count.
Standardizing work instructions and safety protocols across multi-site warehouse operations.
Managing reverse logistics workflows including returns inspection, restocking, and disposal processes.

Module 4: Inventory Strategy and Demand Planning Integration

Setting safety stock levels using statistical models that account for lead time variability and service level targets.
Coordinating with sales and marketing teams to incorporate promotional forecasts into inventory replenishment plans.
Implementing vendor-managed inventory (VMI) agreements with key suppliers to reduce stockouts and overstocking.
Establishing inventory classification frameworks (e.g., ABC, XYZ) to prioritize management focus and cycle counting frequency.
Resolving discrepancies between ERP system inventory records and physical counts through root cause analysis.
Managing obsolescence risk by defining write-off protocols and coordinating with procurement on end-of-life SKUs.

Module 5: Procurement and Supplier Logistics Coordination

Aligning inbound shipment schedules with production and warehouse capacity to avoid dock congestion.
Enforcing supplier compliance on packaging standards, labeling requirements, and ASN (Advanced Shipping Notice) submission.
Conducting logistics cost breakdowns during supplier negotiations to identify hidden transportation or handling fees.
Managing inbound freight consolidation from multiple suppliers to improve load efficiency and reduce costs.
Developing contingency plans for supplier logistics disruptions, including alternate routing and air freight triggers.
Integrating supplier delivery performance data into supplier scorecards for ongoing evaluation.

Module 6: Technology Integration and System Interoperability

Mapping data fields between ERP, WMS, and TMS systems to ensure accurate order and inventory synchronization.
Configuring EDI or API integrations with carriers, suppliers, and customers for automated document exchange.
Validating system logic for allocation rules, backorder handling, and drop-ship order routing.
Designing role-based access controls in logistics systems to limit data exposure and prevent unauthorized changes.
Managing master data governance for SKUs, locations, and carriers across multiple enterprise systems.
Planning system upgrade windows to avoid disruption during peak logistics operations such as month-end or holiday seasons.

Module 7: Performance Measurement and Continuous Improvement

Defining KPIs such as on-time delivery, order cycle time, and cost per unit shipped for operational benchmarking.
Conducting root cause analysis on late deliveries using carrier performance data and internal process logs.
Implementing Lean and Six Sigma methodologies to reduce waste in picking, packing, and shipping processes.
Using dashboards to monitor warehouse labor utilization and identify bottlenecks in fulfillment workflows.
Facilitating cross-functional reviews with finance and customer service to align logistics metrics with business outcomes.
Conducting post-implementation audits after process changes to validate expected efficiency gains.

Module 8: Risk Management and Supply Chain Resilience

Developing contingency plans for port closures, including alternate routing and transloading options.
Assessing geopolitical and regulatory risks when sourcing or distributing through high-volatility regions.
Implementing dual sourcing strategies to mitigate logistics disruption from single-point carrier dependencies.
Securing cargo insurance and defining liability terms with carriers for high-value shipments.
Conducting business continuity drills that simulate warehouse outages or system failures.
Monitoring global events and weather patterns to proactively adjust transportation and inventory plans.