Reyhani Yamchi, H, Jabarzadeh, Y, Govindan, K and Amoozad Mahdiraji, H (2024) A triple bottom line approach for designing a sustainable closed-loop supply chain network in fruit industry: A metaheuristic solution approach. Journal of the Operational Research Society. ISSN 0160-5682
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A triple bottom line approach for designing a sustainable closed loop supply chain network in fruit industry A metaheuristic solution approach.pdf - Accepted Version Restricted to Repository staff only until 29 February 2025. Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) |
Abstract
In this study, the design of a sustainable closed-loop supply chain network for agricultural products with the goals of minimizing the cost and emission of greenhouse gases and maximizing the response to customer demand, and creating justice-based job opportunities, simultaneously, are aimed. The intended chain is based on the fruit supply chain study, which includes fresh fruits, concentrate, and vermicompost fertilizer. A mixed-integer linear programming (MILP) model has been developed to achieve the triple bottom line. Due to the nature of the NP-hard problem, the proposed model is solved using metaheuristic approaches consisting of two renowned algorithms, NSGA-II and NRGA, and a relatively new algorithm called NSGA-III. It is worth noting that the parameters of the algorithms are adjusted to achieve the best performance in small, medium, and large-size problems exerting the Taguchi method. After comparing the results of the three algorithms based on the well-known criteria, NRGA is introduced as the superior algorithm. Ultimately, the results of sensitivity analysis indicate that appending the possibility of using vermicompost in gardens and considering several vehicles in the proposed sustainable supply chain boosts the values of economic and environmental objective functions to about 6.4 and 8.2%, respectively.
Item Type: | Article |
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Additional Information: | This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of the Operational Research Society on 29/2/24, available at: http://www.tandfonline.com/10.1080/01605682.2023.2286318 |
Uncontrolled Keywords: | 01 Mathematical Sciences; 08 Information and Computing Sciences; 15 Commerce, Management, Tourism and Services; Operations Research |
Subjects: | H Social Sciences > HF Commerce > HF5001 Business H Social Sciences > HF Commerce > HF5001 Business > HF5410 Marketing. Distribution of Products |
Divisions: | Liverpool Business School |
Publisher: | Taylor and Francis Group |
SWORD Depositor: | A Symplectic |
Date Deposited: | 12 Mar 2024 15:17 |
Last Modified: | 12 Mar 2024 15:17 |
DOI or ID number: | 10.1080/01605682.2023.2286318 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/22721 |
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