Supply Chain Network Modeling and Optimization Course

Course Introduction

Supply chain network modeling and optimization is a strategic discipline that focuses on designing, analyzing, and improving the structure and flow of goods, information, and finances across complex supply chain systems. It enables organizations to achieve maximum efficiency while minimizing cost and service delays.

In a globalized and highly competitive business environment, supply chain networks must be designed with precision to balance cost efficiency, service level performance, and risk resilience. This course introduces analytical frameworks and optimization techniques used to structure high-performing supply chain networks.

Participants will explore mathematical modeling approaches, including linear programming, simulation, and heuristic optimization methods. These tools help organizations determine optimal facility locations, distribution routes, inventory positioning, and network configurations.

A strong emphasis is placed on data-driven decision-making, where participants learn how to analyze demand patterns, transportation costs, and capacity constraints to design efficient supply chain systems that align with business strategy.

The course also integrates real-world applications using advanced software tools and case studies from manufacturing, retail, logistics, and global distribution networks. Participants will understand how to translate models into actionable supply chain strategies.

By the end of the course, participants will be able to design, evaluate, and optimize supply chain networks that improve responsiveness, reduce operational costs, and enhance overall system performance.

Duration

5 days

Who Should Attend

• Supply chain and logistics managers
• Network planning and distribution managers
• Operations and production planners
• Procurement and sourcing managers
• Transportation and fleet managers
• Warehouse and distribution center managers
• Business analysts and data scientists
• Operations research professionals
• ERP and supply chain systems analysts
• Supply chain consultants and strategists

Course Objectives

• Equip participants with advanced skills to design, model, and optimize complex supply chain networks using quantitative and analytical methods for improved operational efficiency.
• Develop strong understanding of supply chain network structures including nodes, flows, facilities, and transportation systems.
• Enable participants to apply mathematical optimization techniques such as linear programming and simulation modeling in supply chain design.
• Strengthen capability to evaluate trade-offs between cost, service level, and risk in supply chain network decisions.
• Build skills to analyze demand distribution and supply variability for effective network configuration planning.
• Enhance ability to determine optimal facility locations, distribution centers, and inventory positioning strategies.
• Train participants to use advanced software tools for supply chain modeling and scenario analysis.
• Improve understanding of transportation optimization and route planning in network design.
• Enable participants to integrate supply chain models with real-world business constraints and operational data.
• Foster capability to continuously improve supply chain network performance through data-driven optimization strategies.

Course Outline

Module 1: Fundamentals of Supply Chain Network Design

• Understanding supply chain network structures and their strategic importance in global operations.
• Exploring key components such as suppliers, warehouses, distribution centers, and customers.
• Identifying objectives of supply chain network optimization.
• Establishing foundational principles of network modeling and design.

Module 2: Introduction to Optimization Techniques

• Understanding linear programming and its application in supply chain systems.
• Exploring heuristic and metaheuristic optimization methods.
• Applying mathematical models to real-world logistics problems.
• Enhancing decision-making through optimization frameworks.

Module 3: Facility Location and Network Design

• Determining optimal locations for warehouses and distribution centers.
• Analyzing geographic and demand-based location factors.
• Balancing cost, service level, and accessibility in facility placement.
• Improving network efficiency through strategic location planning.

Module 4: Transportation and Distribution Optimization

• Optimizing transportation routes and logistics flows across the network.
• Reducing transportation costs through route planning models.
• Managing multi-modal transportation systems effectively.
• Enhancing delivery efficiency and service reliability.

Module 5: Inventory Positioning in Supply Networks

• Determining optimal inventory placement across the network.
• Balancing centralization versus decentralization strategies.
• Reducing stockouts and overstock through inventory modeling.
• Improving responsiveness through strategic inventory allocation.

Module 6: Demand and Supply Modeling

• Analyzing demand variability and forecasting across supply chains.
• Modeling supply uncertainty and lead time variability.
• Integrating demand data into network optimization models.
• Enhancing planning accuracy through predictive modeling.

Module 7: Cost Modeling and Trade-Off Analysis

• Evaluating cost structures in supply chain networks.
• Balancing transportation, warehousing, and inventory costs.
• Conducting trade-off analysis between cost and service levels.
• Improving profitability through cost optimization strategies.

Module 8: Simulation and Scenario Planning

• Using simulation tools to test supply chain network performance.
• Developing scenario-based planning for uncertainty management.
• Evaluating alternative network configurations.
• Enhancing resilience through simulation analysis.

Module 9: Advanced Network Analytics

• Applying data analytics in supply chain network optimization.
• Using big data for decision-making in network design.
• Identifying performance bottlenecks using analytical tools.
• Improving efficiency through predictive analytics models.

Module 10: Implementation and Strategic Optimization

• Translating network models into operational strategies.
• Managing implementation challenges in supply chain redesign.
• Aligning network optimization with business strategy.
• Ensuring continuous improvement in supply chain performance.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.