Exploring the Effects of Partnership and Inventory for Supply Chain Resilience Using an Ecological Network Analysis

Author:

Wilson Tyler1,Chatterjee Abheek1,Layton Astrid1

Affiliation:

1. Texas A&M University , College Station, Texas, United States

Abstract

Abstract Traditional supply chain policies and design efforts, such as lean-manufacturing, prize efficiency over all other factors. These traditional design principles are being challenged as supply chains around the globe struggle to bounce back from an array of recent disruptions. This brings up the longstanding battle between profit driven efficiency goals and redundancy efforts that support demand in times of need. Supply chain design guidelines that address resilience thus require a balanced approach between efficiency and redundancy, one that presents flexibility in a way that acknowledges profit requirements. Ecologists have used Ecological Network Analysis to reveal a unique balance of pathway efficiency and redundancy characteristic of biological ecosystems. This balance results in efficient steady-state operations and survival despite unexpected disruptions. Supply chain networks are here evaluated using the same ecological analysis, providing quantitative design guidelines for achieving an ecologically similar system-level resilience. This study builds on past bio-inspired supply chain work to simulate profit-based supply chain performance during disruptions from an ecological perspective. Significant insights include that the validity of ecologically inspired supply chain design is contingent on the supply chain’s properties and that under the right conditions, the ecological balance of efficiency and redundancy can vastly improve the performance of supply chains during disruptions.

Publisher

American Society of Mechanical Engineers

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1. Resilient Circularity in Manufacturing: Synergies Between Circular Economy and Reconfigurable Manufacturing;Journal of Manufacturing Science and Engineering;2024-09-11

2. Resilient Microgrid Design Using Ecological Network Analysis;Conference on Systems Engineering Research Series;2024

3. Extending Ecological Network Analysis to Design Resilient Cyber-Physical System of Systems;IEEE Open Journal of Systems Engineering;2024

4. Towards the Characterization of Cyber-Physical System Interdependencies in the Electric Grid;2023 IEEE Power and Energy Conference at Illinois (PECI);2023-03-02

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