Supply Chains have evolved into multi-structural dynamic systems that are vulnerable to disruptions with a significant impact on the business and performance of entities. Supply chain risk management is used in modern times to identify potential sources of risks, their potential influences, and propagation through the supply chain, as well as to plan and implement appropriate actions to remove, reduce, or mitigate supply chain disruptions.
Risk management has become a critical challenge for supply chain managers as a result of increased global competition, rising cost pressures, rising customer expectations, geopolitics, and increasing complexity.
We must consider uncertainty and risk when developing decision-oriented solutions for supply chain design, planning, and optimization. To consider the possible impact of operational risks and disruptive risks, the use of dynamic simulation methods and software is almost mandatory.
Identify the dynamic structure of Supply Chain
Use AnyLogistix software
Incorporate dynamic simulation modeling in risk identification
Plan for uncertainty and reduce impact of disturbances in Supply Chain
Recover fast from the unwanted events
Incorporate geopolitics into Supply Chain optimization
This Purchasing & Logistics training course on Supply Chain Risk Management uses a hands-on approach. The participants will be equipped with a Personal Learning Edition of the anyLogistix software and will be walked through the models of using the software for Supply Chain risk management, optimization, and recovery planning.
Participants will use Any Logic and anyLogistix software to organize dynamic simulation models from which they will identify the possible causes of disruptions use modern strategies of risk assessments, and prepare measures to release reduce or repair negative influences.
The delegates will create simulation models based on the actual examples from the industry, either from the sources available from Any Logic or anyLogistix models or the available sources within their industry.
Complexity management and system modelling is now a basis for handling uncertainty in supply chains. A particular feature of risk management in supply chains (unlike in technical systems) is that people do not strive for a 100% guarantee of the result: they consciously tend to take risks. Therefore, organizations need people that can provide the system with resiliency, flexibility in sourcing, supply chain visibility, adaptability and resilience, prepared to mitigate the emerging risks and recover from disturbances in the supply chain.
Dynamic control of the actual risks and mitigation measures for their supply chains
Understand Redundancy, Robustness, Stability, Flexibility, Resilience
Preparing a performance and recovery analysis framework
How to identify ripple and bullwhip effects in virtual world through simulations
The structured knowledge of Supply Chain and Logistics dynamics and risk identification
Knowledge of risks in the Supply Chains of the modern age, like IT, risks
Simulation techniques, advantages, and limitations
Step-by-step process of Supply Chain risk simulation and recovery measures prioritization
The way to tackle the risks through simulated experiments
Use of anyLogistix and Any Logic dynamic simulation software