Introduction

Supply chains are now multi-structured and dynamic systems, increasingly susceptible to disruptions that significantly affect business operations and performance. In contemporary business environments, the practice of supply chain risk management involves pinpointing potential risk sources, assessing their impacts and pathways through the supply chain, and devising strategic plans to eliminate, lessen, or control these disruptions. The challenge of managing these risks is compounded by heightened global competition, escalating cost pressures, increasing customer expectations, geopolitical factors, and growing complexity.

Course Objectives

• Recognize the dynamic nature of supply chains
• Utilize AnyLogistix software effectively
• Employ dynamic simulation modeling for risk detection
• Strategize for uncertainties to minimize the impact of disruptions
• Rapidly recover from adverse events
• Integrate geopolitical considerations into supply chain strategies

Target Audience

• Risk Managers
• Supply Chain Managers
• Operations Managers
• Project Managers
• Finance Managers
• IT Managers
• Plant Managers
• Production Planners
• HR Managers
• Logistics Managers
• Business Improvement Specialists
• Consultants

Course Outline

Day 1: Structural Dynamics in Supply Chains

• Analyzing the control problem of supply chain structural dynamics
• Dynamic modeling of supply chain control processes
• Exploring uncertainties and associated risks
• Overview of AnyLogic dynamic simulation modeling software
• Introduction to AnyLogistix for supply chain modeling

Day 2: Managing Risks in Supply Chains

• Risk control frameworks
• Operational risk assessment
• Managing disruption risks
• Understanding and managing the Bullwhip effect

Day 3: Enhancing Supply Chain Resilience

• Analyzing the ripple effect and its mitigation strategies
• Frameworks for managing disruptions in supply chain and operations
• Establishing a resilient supply chain structure
• Modeling and mitigating the ripple effect using AnyLogistix
• Reconfiguration models and algorithms for supply chains

Day 4: Advanced Dynamic Methods for Managing Supply Chain Risks

• Applications of linear and mixed-integer programming optimization
• Stochastic programming, fuzzy logic, and robust optimization
• Employing pricing and game theory in supply chain risk management
• Simulation techniques: Process, agent-based, and dynamic models

Day 5: Navigating Supply Chain 4.0 and IT Risks

• Industry 4.0's impact on supply chain dynamics
• IT and cyber risks: Identifying real threats to supply chains
• Practical frameworks for managing IT and cyber risks
• Adaptive management frameworks for supply chains
• Flexibility in supply chain structural configurations