A location-inventory-routing problem to design a circular closed-loop supply chain network with carbon tax policy for achieving circular economy: An augmented epsilon-constraint approach

Govindan, Kannan; Salehian, Farhad; Kian, Hadi; Hosseini, Seyed Teimoor; Mina, Hassan

doi:10.1016/j.ijpe.2023.108771

Cited by 58 publications

(16 citation statements)

References 59 publications

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“…If the solutions obtained from the proposed approach are not dominated by the solutions obtained from the comparative approach, the efficiency of the proposed approach is confirmed (Govindan et al. [45] ). Comparing the results presented in Table 8 and 10 reveals that the value of the objective functions for both approaches in INC1 and INC3 are similar.…”

Section: Resultsmentioning

confidence: 80%

Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertainty

Nosrati-Abarghooee

Sheikhalishahi

Nasiri

et al. 2023

Applied Soft Computing

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Section: Resultsmentioning

confidence: 80%

Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertainty

Nosrati-Abarghooee

Sheikhalishahi

Nasiri

et al. 2023

Applied Soft Computing

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“…As mentioned, various methods have been proposed to solve such problems. Among this various methods, the epsilon-constraint focuses on optimizing just one objective function and simultaneously other objectives are considered as constraints (Govindan et al, 2023). It was firstly proposed by (Haimes, 1971).…”

Section: Epsilon Constraint Methodsmentioning

confidence: 99%

“…Ten different demand scenarios showed that the HSC has a decentralized structure under almost all scenarios. Govindan et al (2023), to design a circular closed-loop supply chain network and achieving circular economy studied a location-inventoryrouting problem with carbon tax policy. They presented an integrated bi-objective mixed-integer linear programming model.…”

Section: Literature Reviewmentioning

confidence: 99%

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A circular closed-loop supply chain network with an epsilon-constraint and NSGA-II approach

Jaferi

Shahin

Vasili

et al. 2023

Preprint

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Due to the lack of efficient waste management growing environmental pollutions leads to threatens the live of mankind and our planet. Good waste management need appropriate planning and monitoring at all different levels including designing, manufacturing, distribution, collection, recycling and disposal that require a circular approach. Circular supply chain, offers a new and compelling perspective to the supply chain sustainability domain. Therefor having proper solution approach for circular supply chains is of great value. To this end, in this paper suitable solution approaches has been presented for a multi-echelon, multi-product, multi-period and multi-objective mixed integer linear programing. This model is designed for a circular closed-loop supply chain that considered digital devices. The conflicting objectives of the model are to minimize total costs on the entire chain and environmental pollution and to maximize total rate of unemployment reduction. The Epsilon-constraint method is proposed to solve small size of the problem. A Pareto set of optimal solutions helped to assess the trade-offs involving the three objective. Because this problem is of NP-hard category, the non-dominated sorting genetic algorithm (NSGA-II) is used to find near optimal Pareto front for large size of the problem. To demonstrate the efficiency of the metaheuristic algorithm the answers obtained in small dimensions are compared with the answers obtained from the Epsilon-constraint method. The results show that the error percentage of the objective function compared to the epsilon method in all solved problems is less than 1%, which shows the effectiveness of the proposed algorithm. Reducing the solving time especially in the large dimensions of the problem is one of the advantages of this solution method. Using these methods allows decision makers to provide a set of efficient optimal solutions so that they can select the best point, according to the available budget and their organization policies.

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“…The Green Supply Network concept, which includes an environmental factor in the design of the supply network, has also attracted the attention of researchers in recent years [19][20][21][22][23][24][25][26][27][28][29][30][31]. N. Matinrada et al [32] argue that when different companies work together to maintain customer satisfaction, the result is a "supply chain network" (SCN).…”

Section: Introductionmentioning

confidence: 99%

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2023

Intellectualization of logistics and SCM

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A location-inventory-routing problem to design a circular closed-loop supply chain network with carbon tax policy for achieving circular economy: An augmented epsilon-constraint approach

Cited by 58 publications

References 59 publications

Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertainty

Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertainty

A circular closed-loop supply chain network with an epsilon-constraint and NSGA-II approach

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