Multi-objective closed-loop green supply chain model with disruption risk

Hasan, Kazi Wahadul; Ali, Syed Mithun; Paul, Sanjoy Kumar; Kabir, Golam

doi:10.1016/j.asoc.2023.110074

Cited by 10 publications

(3 citation statements)

References 29 publications

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“…Nevertheless, paying a ention to these dimensions of the supply chain will increase the credibility of the business in the future and somehow guarantee its survival in the future. This is in line with other supply chain design studies that a empt to benefit the sustainable perspective [15,18,20]. Another point is the number of facilities in the supply chain.…”

Section: Discussionsupporting

confidence: 83%

“…The sensitivity analysis conducted in their paper indicated that if by increasing the demand rate, the number of facilities and their capacity level are increased appropriately, further increase in the total profit of the supply chain will be achieved [19]. In [20], the authors focused more on environmental aspects of a closed-loop supply chain and pursued minimizing the total cost, energy consumption, CO 2 emission, and waste generation of supply chains with a focus on disruption risk. They proposed a multi-objective model to cope with these goals and used the non-dominated sorting genetic algorithm (NSGA-II) to extract Pareto solutions.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Multi-Objective Model for Designing a Sustainable Closed-Loop Supply Chain Logistics Network

Arab Momeni,

Jain,

Bagheri

2024

Logistics

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Background: The growing concern for environmental and social issues has led to a focus on designing sustainable supply chains and increasing industrial responsibility towards society. In this paper, a multi-objective mixed-integer programming model is presented for designing a sustainable closed-loop supply chain. The model is aimed at the minimization of the total cost with the total used facilities, the negative environmental impacts, and the maximization of the positive social impacts. Methods: The epsilon-constraint method is utilized for solving the model and further extracting the Pareto solutions. Results: The result of the research clearly shows an optimal trade-off between the conflicting objectives, where, by paying more attention to the social and environmental aspects of sustainability, the total costs are increased or by optimizing the number of facilities, a better balance between the dynamics associated with the short-term and long-term goals is reached. The results of the sensitivity analysis also show that increasing the demand of the supply chain has the greatest impact on the supply chain costs compared to other objectives. Conclusions: Consequently, investigating such comprehensive sustainable objectives provides better insights into the impact of design variables on the expectations of stakeholders.

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Section: Discussionsupporting

confidence: 83%

Section: Literature Reviewmentioning

confidence: 99%

A Multi-Objective Model for Designing a Sustainable Closed-Loop Supply Chain Logistics Network

Arab Momeni,

Jain,

Bagheri

2024

Logistics

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“…More specifically, the managers try to integrate the activities and processes of their supply chain to improve the overall performance of their companies [1]. This change is obvious in various sectors e.g., manufacturing, retail, healthcare, etc [55]- [57]. Integration of the supply chain necessitates collaboration across its entities, as well as coordination of information and material flows.…”

Section: Introductionmentioning

confidence: 99%

Grey Wolf Optimizer and Whale Optimization Algorithm for Stochastic Inventory Management of Reusable Products in a Two-Level Supply Chain

et al. 2023

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Product reuse and recovery is an efficient tool that helps companies to simultaneously address economic and environmental dimensions of sustainability. This paper presents a novel problem for stock management of reusable products in a single-vendor, multi-product, multiretailer network. Several constraints, such as the maximum budget, storage capacity, number of orders, etc., are considered in their stochastic form to establish a more realistic problem. The presented problem is formulated using a nonlinear programming mathematical model. The chance-constrained approach is suggested to deal with the constraints' uncertainty. Regarding the nonlinearity of the model, grey wolf optimizer (GWO) and whale optimization algorithm (WOA) as two novel metaheuristics are presented as solution approaches, and the sequential quadratic programming (SQP) exact algorithm validates their performance. The parameters of algorithms are calibrated using the Taguchi method for the design of experiments. Extensive analysis is established by solving several numerical results in different sizes and utilizing several comparison measures. Also, the results are compared statistically using proper parametric and non-parametric tests. The analysis of the results shows a significant difference between the algorithms, and GWO has a better performance for solving the presented problem. In addition, both algorithms perform well in searching the solution space, where the GWO and WOA differences with the optimal solution of the SQP algorithm are negligible.INDEX TERMS Reuse and Recovery, Chance-constrained Programming, Grey Wolf Optimizer, Whale Optimization Algorithm, Taguchi method.Despite the appearance of broad literature, the inventory management of reusable products, as an important VOLUME xx, 2023

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Fuzzy robust flexible programming with Me measure for electric sustainable supply chain

Giri

Roy

Deveci

2023

Applied Soft Computing

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Multi-objective closed-loop green supply chain model with disruption risk

Cited by 10 publications

References 29 publications

A Multi-Objective Model for Designing a Sustainable Closed-Loop Supply Chain Logistics Network

A Multi-Objective Model for Designing a Sustainable Closed-Loop Supply Chain Logistics Network

Grey Wolf Optimizer and Whale Optimization Algorithm for Stochastic Inventory Management of Reusable Products in a Two-Level Supply Chain

Fuzzy robust flexible programming with Me measure for electric sustainable supply chain

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