A Multi-Objective Operations Research Model for Sustainable and Resilient Supply Chain Management

Sustainable supply chain management (SSCM) has become imperative in the face of global environmental challenges, resource scarcity, and regulatory pressures. This paper presents an integrated operations research (OR) framework to optimize supply chain networks while balancing economic, environmental, and social objectives. We review recent literature on OR applications in SSCM, propose a mathematical optimization model for a multi-echelon supply chain incorporating sustainability metrics, and discuss hypothetical results based on scenario analysis. The model minimizes total costs including carbon emissions and social impacts, subject to capacity, demand, and sustainability constraints. Findings suggest that integrated OR approaches can reduce environmental footprints by up to 25% without significant economic trade-offs. This study contributes to the field by providing a practical model and identifying avenues for future research in stochastic and dynamic environments.

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Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-04-11
DOI
https://doi.org/10.64388/irev9i9-1713276
Primary Topic
Sustainable Supply Chain Management
Type
article
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article

A Multi-Objective Operations Research Model for Sustainable and Resilient Supply Chain Management

Sushil Kumar
Iconic Research and Engineering Journals
Sustainable Supply Chain Management
article

A Multi-Objective Operations Research Model for Sustainable and Resilient Supply Chain Management

Sushil Kumar
article en

Abstract

Sustainable supply chain management (SSCM) has become imperative in the face of global environmental challenges, resource scarcity, and regulatory pressures. This paper presents an integrated operations research (OR) framework to optimize supply chain networks while balancing economic, environmental, and social objectives. We review recent literature on OR applications in SSCM, propose a mathematical optimization model for a multi-echelon supply chain incorporating sustainability metrics, and discuss hypothetical results based on scenario analysis. The model minimizes total costs including carbon emissions and social impacts, subject to capacity, demand, and sustainability constraints. Findings suggest that integrated OR approaches can reduce environmental footprints by up to 25% without significant economic trade-offs. This study contributes to the field by providing a practical model and identifying avenues for future research in stochastic and dynamic environments.

Iconic Research and Engineering JournalsVol. 9(9)
Tokyo Polytechnic University (JP)
Responsible consumption and production
Openalex Percentile: Top 6%
Sustainable Supply Chain Management
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