Volume 23, Issue 3 (9-2026)                   jor 2026, 23(3): 0-0 | Back to browse issues page

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Kalantariun H, Abdollahi A, Parastar R. Developing Multi-Criteria Optimization Models for Resource Allocation in Sustainable Supply Chains: Combining Linear Programming and Sensitivity Analysis. jor 2026; 23 (3)
URL: http://jamlu.lahijan.iau.ir/article-1-2340-en.html
Developing Multi-Criteria Optimization Models for Resource Allocation in Sustainable Supply Chains: Combining Linear Programming and Sensitivity Analysis
H. Kalantariun * , A. Abdollahi , R. Parastar
Department of Engineering, Khajeh Nasiruddin Toosi University of Technology, Tehran, Iran , Hosseinkalantariun@gmail.com
Abstract:   (88 Views)
The role of supply chains in ensuring environmental sustainability and enhancing corporate social responsibility has become increasingly prominent. Meanwhile, the traditional cost minimization perspective, which overlooks environmental and social indicators, threatens the long term effectiveness of supply chain operations. In this study, a multi criteria model is developed for resource allocation in a sustainable supply chain, simultaneously addressing three objectives: economic (cost minimization), environmental (emission reduction), and social (improvement of responsibility indicators). The proposed model is formulated using mixed integer linear programming (MILP). To solve it, various exact and metaheuristic techniques are employed alongside a comprehensive sensitivity analysis to account for uncertainties such as demand rates, transportation costs, and emission coefficients. Results from a numerical example demonstrate that the model can generate balanced solutions that meet distribution center demands and supplier capacity constraints while controlling costs, reducing emissions, and maintaining social value. Moreover, sensitivity analysis under different scenarios highlights the importance of flexibility and rapid responsiveness to parameter changes. Accordingly, the proposed model can serve as a decision support tool for achieving simultaneous economic, environmental, and social sustainability in supply chain systems.
 
Keywords: Mixed Integer Linear Programming, Sensitivity Analysis, Sustainable Supply Chain, Multi-Criteria Optimization, Social Index.
     
Type of Study: Research | Subject: Special
Received: 2026/03/7 | Accepted: 2026/07/18 | Published: 2026/09/11
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