Project

DeSCRe_IRVA - Design for Supply Chain Resilience

Acronym
DeSCRe
Code
180B4523
Duration
01 October 2023 → 30 September 2025
Funding
Regional and community funding: various
Research disciplines
  • Social sciences
    • Management information systems
  • Engineering and technology
    • Logistics and supply chain management
Keywords
Supply Chain Ontology
 
Project description

Supply chain resilience is the ability to proactively plan and design the supply chain network to quickly bounce back from a disruption event. Resilience is becoming more important during the last few years. Yet, there is a need for formalizing decisions regarding supply chain resilience measures. We will focus on supply chain resilience measures integrated into the design phase of a (new) product. This means that the products will be developed to integrate resilience, like modularity or dual suppliers. By investing in mitigation strategies instead of reacting when the disruption takes place, a more robust supply chain with fewer unexpected costs will be generated.

Our proposed project envisions three outcomes: a tool to map supply chain disruption risks, a framework to classify components based on a risk assessment, and a model for a cost-benefit analysis of resilience strategies. A framework will be developed to identify vulnerabilities and uncertainties in the supply chain and classify components based on the cost impact in case of disruption and the probability of a disruption event. The purpose is to align the component risk with a cost-effective resilience strategy. The cost-benefit analysis will quantify the value impact of introducing supply chain resilience in the early product design phase.

By implementing the generic framework for specific business cases, companies will obtain a framework to quantify the costs and benefits of incorporating resilience strategies. Besides, they get a clear overview of which components have the highest cost impact on the supply chain in case of disruption and, thus, which investments in resilience techniques will be beneficial.