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Updated: Nov 1, 2025

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Reconfigurable Microfluidic Channel with Pin-discretized Sidewalls
Published on: April 12, 2018
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New metrics for measuring supply chain reconfigurability
Slim Zidi1,2, Nadia Hamani2, Lyes Kermad1
1University of Paris 8, 140 Rue de la Nouvelle France, Montreuil, France.
Summary
This study introduces a quantitative method to measure supply chain reconfigurability, crucial for adapting to disruptions like the COVID-19 pandemic. The developed index helps select the most adaptable supply chain configurations.
Area of Science:
- Supply Chain Management
- Operations Research
- Industrial Engineering
Background:
- The COVID-19 pandemic, fluctuating demand, and market uncertainty necessitate more flexible and agile supply chains.
- Building adaptive and reconfigurable supply chains requires careful consideration of key factors.
- Supply chain reconfigurability quantifies the ease with which a supply chain can alter its structure and functions.
Purpose of the Study:
- To evaluate the level of reconfigurability within supply chains.
- To develop a quantitative framework for assessing supply chain adaptability.
- To provide a method for selecting the most reconfigurable supply chain configurations.
Main Methods:
- Quantitative measurement of six key indicators characterizing supply chain reconfigurability.
- Development of a supply chain reconfigurability index using Multi-Attribute Utility Theory.
- Application of an illustrative example to demonstrate the index's utility.
Main Results:
- Six quantitative indicators for reconfigurability were identified and measured.
- A novel index for supply chain reconfigurability was successfully developed.
- The illustrative example confirmed the index's applicability in configuration selection.
Conclusions:
- The characteristics of a reconfigurable supply chain positively influence its degree of reconfigurability.
- The developed index provides a valuable tool for enhancing supply chain adaptability.
- This research contributes to building more resilient and responsive supply chain systems.
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