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A Multi-Objective Operations Research Model for Sustainable and Resilient Supply Chain Management
Subject area: Management and Commerce · Area of research: Supply Chain Management
DOI: https://doi.org/10.64388/IREV9I9-1713276
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.
Keywords
Operations Research, Sustainable Supply Chain Management, Optimization Modelling, Multi-Objective Optimization, Environmental Sustainability, Supply Chain Network Design, Triple Bottom Line
How to cite this paper
@article{1713276,
author = {Sushil Kumar},
title = {A Multi-Objective Operations Research Model for Sustainable and Resilient Supply Chain Management},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {3438-3444},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1713276.pdf},
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.},
keywords = {Operations Research, Sustainable Supply Chain Management, Optimization Modelling, Multi-Objective Optimization, Environmental Sustainability, Supply Chain Network Design, Triple Bottom Line},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1713276}
}