Supply Chain Management and Engineering Training Course

Name: Supply Chain Management and Engineering Training Course
Availability: InStock

Inspired by: Trends in Supply Chain Design and Management: Technologies and Methodologies by Hosang Jung, Bongju Jeong, F. Frank Chen

At a glance

Duration: 5 days
Format: Classroom
Cities: Bangkok, Munich, Berlin, Langkawi, Dubai, Nairobi and more
Next session: 11 – 15 October 2026, Bangkok
Average fee: 5,800 €

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Supply Chain Management and Engineering Training Course

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Course Overview

The Supply Chain Management and Engineering Training Course provides a structured, practical approach to designing, managing, and improving complex supply networks. It integrates the managerial principles of Integrated Supply Chain Management with the analytical methods used in Supply Chain Systems Engineering, enabling participants to examine supply chains as interconnected systems of suppliers, production facilities, warehouses, transport operations, information flows, and customers.

The course draws on established developments in Supply Chain Design and Management, including RFID applications, mobile and sensor technologies, agent-based systems, reverse logistics, lean supply chains, decentralized planning, Vendor-Managed Inventory, uncertainty management, network robustness, and available-to-promise processes. These themes reflect the book’s division between emerging technologies and advanced methodologies for supply chain design and management.

Participants will also explore contemporary Digital Supply Chain Technologies, including artificial intelligence, the Internet of Things, blockchain, cloud computing, smart manufacturing, big data analytics, digital twins, and real-time decision-support systems. The course connects these technologies with Supply Chain Optimization, Logistics Network Design, resilience, sustainability, and performance improvement. The accompanying paper further highlights the transition from traditional supply chains toward Supply Chain 4.0 and increasingly human-centred, sustainable Supply Chain 5.0 models.

Through practical exercises and structured analysis, participants will develop actionable capabilities in Supply Chain Network Design, Supply Chain Modeling and Analysis, planning, control, risk management, and engineering-based decision-making.

Target Audience

Supply Chain Managers and Directors
Supply Chain Engineers and Industrial Engineers
Logistics and Distribution Managers
Operations and Manufacturing Managers
Procurement and Strategic Sourcing Professionals
Demand, Inventory, and Production Planners
Warehouse and Transportation Managers
Supply Chain Analysts and Business Analysts
Continuous Improvement and Operational Excellence Professionals
Digital Transformation and Industry 4.0 Specialists
Risk, Resilience, and Business Continuity Professionals
Consultants involved in Supply Chain Design and Optimization

Targeted Organizational Departments

Supply Chain Management
Logistics and Distribution
Operations and Manufacturing
Procurement and Strategic Sourcing
Inventory and Materials Management
Production Planning and Control
Transportation and Fleet Management
Warehousing and Fulfilment
Industrial and Systems Engineering
Digital Transformation and Information Technology
Operational Excellence and Process Improvement
Enterprise Risk and Business Continuity
Sustainability and Circular Economy
Data Analytics and Performance Management

Targeted Industries

Manufacturing and Industrial Production
Automotive and Aerospace
Oil, Gas, Petrochemical, and Energy
Pharmaceuticals and Healthcare
Food, Beverage, and Fast-Moving Consumer Goods
Retail, E-commerce, and Wholesale Distribution
Transportation, Shipping, and Freight Forwarding
Ports, Aviation, and Maritime Logistics
Construction and Engineering
Electronics and Semiconductor Manufacturing
Government and Public-Sector Supply Networks
Telecommunications and Technology
Mining and Natural Resources
Humanitarian and Emergency Logistics
Third-Party Logistics and Supply Chain Consulting

Course Offerings

By the end of this course, participants will be able to:

Explain the principles of Supply Chain Management and Engineering.
Map product, information, and financial flows across integrated supply networks.
Apply Supply Chain Systems Engineering principles to complex operational problems.
Design and evaluate Supply Chain Network Design alternatives.
Analyse suppliers, factories, warehouses, distribution centres, and transport links.
Apply Supply Chain Modeling and Analysis to planning and decision-making.
Compare lean, agile, global, green, digital, and resilient supply chain models.
Improve inventory, transportation, production, and distribution coordination.
Evaluate RFID, sensors, IoT, AI, blockchain, cloud platforms, and digital twins.
Use Supply Chain Optimization concepts to balance service, cost, capacity, and risk.
Develop reverse logistics and circular supply chain network concepts.
Analyse decentralized planning, collaboration, negotiation, and Vendor-Managed Inventory.
Assess supply uncertainty and strengthen Supply Chain Risk and Resilience.
Establish Supply Chain Performance Management indicators and dashboards.
Prepare a practical Supply Chain Design and Optimization improvement roadmap.

Training Methodology

This Supply Chain Management Training Course uses an applied learning methodology that combines technical explanation with structured workplace practice. Instructor-led sessions introduce Supply Chain Design and Management concepts, followed by guided exercises that allow participants to apply each method to realistic supply network situations.

Case studies are used to examine RFID implementation, inventory visibility, mobile event management, reverse logistics, lean supply chains, production-distribution models, decentralized planning, Vendor-Managed Inventory, uncertainty, and network robustness. These areas reflect the technology and methodology themes presented in the reference book.

Participants will work in groups to map supply networks, identify critical nodes, analyse logistics flows, compare alternative network configurations, and evaluate cost-service-risk trade-offs. Short modelling exercises will demonstrate how data, assumptions, constraints, and performance measures influence supply chain decisions.

Interactive sessions will also address Supply Chain Technology and Innovation, including AI, IoT, blockchain, smart manufacturing, cloud computing, analytics, digital twins, and real-time decision-support systems. The second reference emphasises digitisation, smart manufacturing, and big data analytics as central pillars of Supply Chain 4.0.

Daily reflection sessions consolidate key lessons, while peer discussions and facilitator feedback help participants convert technical concepts into practical Supply Chain Process Improvement initiatives for their organisations.

Course Toolbox

Participants will receive guidance, examples, and demonstration materials relevant to:

Supply chain mapping framework
Supply chain node-and-flow analysis template
Supply Chain Network Design canvas
Logistics Network Design comparison matrix
Supplier, production, warehouse, and distribution mapping template
Inventory policy analysis guide
Transportation cost and routing analysis example
Vendor-Managed Inventory scenario template
Reverse logistics network design framework
Supply chain uncertainty register
Risk and resilience assessment checklist
Network robustness evaluation model
Supply chain performance scorecard
KPI selection and dashboard framework
Digital supply chain maturity assessment
Technology evaluation matrix for RFID, IoT, AI, blockchain, and digital twins
Supply Chain Optimization decision worksheet
Available-to-promise process analysis example
Supply chain improvement roadmap template

These tools are not provided as licensed commercial software. The course provides practical insights, demonstrations, templates, and examples of tools and technologies relevant to Supply Chain Management and Engineering.

Course Agenda

Day 1: Integrated Supply Chain Management and Systems Engineering

Topic 1: Fundamentals of Supply Chain Management and Engineering
Topic 2: Product, Information, and Financial Flows
Topic 3: Supply Chain Systems Engineering Principles
Topic 4: Mapping End-to-End Supply Chain Networks
Topic 5: Lean, Agile, Global, and Integrated Supply Chains
Topic 6: Supply Chain Strategy, Cost, Service, and Value
Reflection & Review: Reviewing supply chain structures, flows, stakeholders, and systems-level improvement opportunities

Day 2: Supply Chain Design, Network Modelling, and Optimization

Topic 1: Supply Chain Design and Management Decisions
Topic 2: Supply Chain Network Design Principles
Topic 3: Logistics Network Design and Facility Location
Topic 4: Supply Chain Modeling and Analysis
Topic 5: Production and Distribution Network Alternatives
Topic 6: Supply Chain Optimization and Trade-Off Analysis
Reflection & Review: Comparing network configurations using cost, capacity, service, flexibility, and risk criteria

Day 3: Planning, Inventory, Transportation, and Collaboration

Topic 1: Supply Chain Planning and Control
Topic 2: Demand, Capacity, and Production Coordination
Topic 3: Inventory Management and Replenishment Policies
Topic 4: Transportation Integration and Logistics Planning
Topic 5: Vendor-Managed Inventory and Collaborative Planning
Topic 6: Decentralized Supply Chain Decision-Making
Reflection & Review: Evaluating coordination gaps across planning, inventory, transport, suppliers, and customers

Day 4: Digital Supply Chain Technologies and Smart Operations

Topic 1: Digital Supply Chain Technologies and Industry 4.0
Topic 2: RFID, Auto-ID, Sensors, and Real-Time Visibility
Topic 3: IoT, Cloud Computing, and Connected Supply Networks
Topic 4: Artificial Intelligence and Big Data Analytics
Topic 5: Blockchain, Traceability, and Secure Information Sharing
Topic 6: Digital Twins, Simulation, and Smart Manufacturing
Reflection & Review: Assessing digital technology applications, requirements, limitations, and organisational readiness

Day 5: Resilience, Sustainability, and Performance Improvement

Topic 1: Supply Chain Risk and Resilience
Topic 2: Supply Uncertainty and Network Robustness
Topic 3: Reverse Logistics and Circular Supply Chains
Topic 4: Green, Sustainable, and Human-Centred Supply Chains
Topic 5: Supply Chain Performance Management and KPIs
Topic 6: Supply Chain Process Improvement Roadmap
Reflection & Review: Developing priorities for a resilient, digital, sustainable, and high-performing supply chain

FAQ

What specific qualifications or prerequisites are needed for participants before enrolling in the course?

No formal qualifications are required. However, participants will benefit from basic experience in supply chain management, logistics, operations, manufacturing, procurement, inventory management, industrial engineering, or business analysis. Familiarity with operational data, process mapping, or performance indicators will support participation in the course exercises.

How long is each day's session, and is there a total number of hours required for the entire course?

Each day's session is generally structured to last around 4–5 hours, with breaks and interactive activities included. The total course duration spans five days, approximately 20–25 hours of instruction.

What is the difference between supply chain management and supply chain engineering?

Supply chain management focuses on coordinating sourcing, production, inventory, logistics, information, and customer delivery activities. Supply chain engineering applies systems thinking, modelling, optimization, simulation, network design, data analysis, and technology evaluation to improve how these activities are structured and controlled. This course integrates both perspectives so participants can manage current operations while also redesigning supply networks for better cost, service, resilience, and performance.

How This Course is Different from Other Supply Chain Management and Engineering Courses

This course differs from conventional supply chain programmes by integrating operational management, engineering analysis, network design, digital technology, and resilience within one structured learning journey. Rather than treating procurement, logistics, inventory, production, and distribution as isolated functions, it examines the supply chain as an interconnected technical and managerial system.

The course draws directly on technology themes such as RFID, mobile information systems, sensors, and agent-based supply chain management. It also incorporates methodology themes including reverse logistics design, lean supply chains, decentralized planning, dynamic lot-sizing, Vendor-Managed Inventory, supply uncertainty, network robustness, and available-to-promise management.

It extends these foundations by examining Supply Chain 4.0 technologies, including AI, IoT, blockchain, smart manufacturing, cloud computing, big data analytics, and digital twins. Participants also consider the emerging Supply Chain 5.0 emphasis on human-centred operations, sustainability, ethical governance, and societal value.

The programme therefore moves beyond descriptive supply chain theory. Participants practise mapping networks, evaluating design alternatives, analysing operational trade-offs, assessing digital readiness, strengthening resilience, selecting performance indicators, and developing an actionable improvement roadmap. This combination makes the course suitable for both supply chain managers and engineering-oriented professionals responsible for transforming complex supply networks.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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