Use of Maximal Covering Location Problem to Design a Closed Loop Supply Chain Network Under Product Substitution

Aldoukhi, Murtadha A.; Gupta, Surendra M.

doi:10.1108/s0276-897620200000020005

Cited by 2 publications

(3 citation statements)

References 41 publications

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“…( 6), where the total GHG volume TGHG needs to be lower than the limit of unacceptable t + 2,5 , as shown in Eq. (7).…”

Section: Variables and Parametersmentioning

confidence: 99%

“…However, they concluded that there were few attentions for using the model of operations research to sustainability assessment of products. Aldoukhi and Gupta [7] designed a global closed-loop supply chain considering to minimize total cost a carbon emission and to maximize service level of retailers. However, they did not consider materials such as plastic and aluminum obtained from recycling EOL products.…”

Section: Introductionmentioning

confidence: 99%

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Designing a Reverse Supply Chain Network for Smartphones with Material-Based GHG Emissions and Costs Using Linear Physical Programming

Ijuin

Nagao

Tsunezawa

et al. 2023

Lecture Notes in Mechanical Engineering

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Currently, levels of production and disposal for communication devices such as smartphones are continuing to increase. In the life cycle of a smartphone, the majority of greenhouse gas (GHG) emissions are generated in the material production stage. To recover the GHG emissions from end-of-life (EOL) products such as smartphones, manufacturers have to recycle EOL products. However, smartphones on the market undergo little recycling because costs related to recycling, transportation, and facilities are very high. Therefore, the decision maker (DM) has to design a reverse supply chain network for collecting EOL products from users and transporting them to recovery or disposal facilities not only environmentally friendly but also economically feasible. This study applies a bi-objective reverse supply chain network design to material-based GHG volumes and related costs applying a multi-criteria decision-making methods as linear physical programming (LPP) to design a reverse supply chain network in the case of smartphones. First, the reverse supply chain network is modeled for recycling EOL smartphones, and a case study based on literatures and life cycle assessment are prepared. Next, the objective functions are set and formulated to minimize the total volume of material-based GHG volume and the total cost using LPP and integer programming. Finally, numerical experiments on the reverse supply chain are conducted and evaluated.

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“…( 6), where the total GHG volume TGHG needs to be lower than the limit of unacceptable t + 2,5 , as shown in Eq. (7).…”

Section: Variables and Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Designing a Reverse Supply Chain Network for Smartphones with Material-Based GHG Emissions and Costs Using Linear Physical Programming

Ijuin

Nagao

Tsunezawa

et al. 2023

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…In another study, they proposed a multi-objective model to design a closed-loop supply-chain (CLSC) network, with the aim of minimizing the total cost, minimizing the carbon emission, and maximizing the service level of the retailers. They used physical programing approach to model the problem [19]. Fadhel and Gupta (2019) evaluated the food waste valorization alternatives from a sustainability point of view.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a Sustainable Green Closed-Loop Supply Chain under Uncertainty and Various Capacity Levels

Tehrani

Gupta

2021

Logistics

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The ever-increasing concerns of the growth in the volume of waste tires and new strict government legislations to reduce the environmental impact of the end-of-life (EOL) tires have increased interest among companies to design a sustainable and efficient closed-loop supply-chain (CLSC) network. In the real world, the CLSC network design is subject to a variety of uncertainties, such as random and fuzzy (epistemic) uncertainties. Designing a reliable and environmentally cautious CLSC with consideration of risks and the uncertainty of the parameters in the network is necessary for a successful supply-chain network. This study proposes a sustainable and environmentally cautious closed-loop supply-chain network for the tire industry, by considering several recovery options, including retreading, recycling, and energy recovery. This study aims to design and develop a robust multi-objective, multi-product, multi-echelon, multi-cycle, multi-capacity, green closed-loop supply-chain network under hybrid uncertainty. There are two types of uncertainties associated with the parameters in the network. There is an uncertainty associated with the demand, which is expressed in some future scenarios according to the probability of their occurrences, as well as fuzzy-based uncertainty associated with return rates, retreading rates, recycling rates, procurement, and production costs, which are expressed with possibilistic distributions. In order to deal with this hybrid uncertainty, a robust fuzzy stochastic programming approach has been proposed, and the proposed mixed integer programming model is applied to a case study in the tire industry to validate the model. The result indicates the applicability of the proposed model and its efficiency to control the hybrid uncertainties and the risk level in the network.

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Use of Maximal Covering Location Problem to Design a Closed Loop Supply Chain Network Under Product Substitution

Cited by 2 publications

References 41 publications

Designing a Reverse Supply Chain Network for Smartphones with Material-Based GHG Emissions and Costs Using Linear Physical Programming

Designing a Reverse Supply Chain Network for Smartphones with Material-Based GHG Emissions and Costs Using Linear Physical Programming

Designing a Sustainable Green Closed-Loop Supply Chain under Uncertainty and Various Capacity Levels

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