The design of reverse distribution networks: Models and solution procedures

Jayaraman, Vaidyanathan; Patterson, Raymond A.; Rolland, Erik

doi:10.1016/s0377-2217(02)00497-6

Cited by 410 publications

(196 citation statements)

References 30 publications

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“…With regard to modeling of disassembly and recycling processes, the aim with end-of-life products is mainly to generate standardized material fractions like metals or plastics that can be sold on the market. Examples of models for end-of-life products combining transportation and recycling processes can be found in Spengler et al [1997] and Jarayaman et al [1997].…”

Section: Management Of Recovery and Distribution Of End-of-life Productsmentioning

confidence: 99%

From closed-loop to sustainable supply chains: the WEEE case

Neto

Walther

Bloemhof-Ruwaard

et al. 2009

International Journal of Production Research

172

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Section: Management Of Recovery and Distribution Of End-of-life Productsmentioning

confidence: 99%

From closed-loop to sustainable supply chains: the WEEE case

Neto

Walther

Bloemhof-Ruwaard

et al. 2009

International Journal of Production Research

172

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“…The developed mathematical model is a general variant of the location-allocation model and hence is an NP-hard problem and does not permit for developing polynomial time exact algorithms (Jayaraman et al, 2003). Therefore, for solving the developed model NSGA-II has been applied proposed by Deb et al (2002) to find the Pareto-optimal frontier same as many related problems in the field of EOL context.…”

Section: Solution Methodsmentioning

confidence: 99%

Designing a sustainable recovery network for waste from electrical and electronic equipment using a genetic algorithm

Shokouhyar

Aalirezaei

2017

IJESD

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Abstract:In recent years, reverse logistic and closed-loop supply chain issues have became more important due to environmental, social and economic reasons. Product recovery which comprises recycling, remanufacturing, repairing and disposing requires an efficient reverse logistic network. Among used products, waste electrical and electronic equipment (WEEE) has become a major problem for developing countries due to its harmful effects. WEEE contains hazardous materials that may have an impact on both environment and human health if it is properly managed. On the contrary, valuable materials can be extracted if it is controlled properly. Therefore, decision makers should give consideration to design an efficient reverse logistic network to manage WEEE. In this paper, a mathematical model of two-stage RL network has been developed based on sustainable development objectives in which economic, environmental and social objectives are considered simultaneously. A multi objective genetic algorithm (MOGA) is developed to determine the best locations of collection centres and recycling plants. In result, the decision makers can make the trade-off between environmental issues and economic and social impacts. The proposed model is examined through a real case from Iran's WEEE current situation.Keywords: reverse logistic network; multi objective genetic algorithm; MOGA; none dominated sorting genetic algorithm-II; NSGA-II; waste electrical and electronic equipment; WEEE; sustainable development.Reference to this paper should be made as follows: Shokouhyar, S. and Aalirezaei, A. (2017) 'Designing a sustainable recovery network for waste from electrical and electronic equipment using a genetic algorithm', Int.

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“…Fonseca et al, 2010). Jayaraman et al (2003) developed their previous work to model the single product twolevel hierarchical location problem considering the reverse logistics operations of hazardous products. They also extend a heuristic to solve large-sized problem.…”

Section: Reverse Supply Chain Network Designmentioning

confidence: 99%

A new fuzzy mathematical model for green supply chain network design

Amalnick¹,

Saffar

2017

10.5267/j.ijiec

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The environmental changes caused by industrial activities have spurred a significant interest in designing supply chain networks by considering environmental issues such as CO2 emission. The pivotal role of taking uncertainty and risk into account in closed-loop supply chain networks has induced numerous researchers and practitioners to develop appropriate decision making tools to cope with these issues in such networks. To design a supply chain regarding environmental impacts under uncertainty of the input data and to cope with the operational risks, this paper proposes a multi objective possibilistic optimization model. The proposed model minimizes traditional costs such as cost of products shipment, purchasing machines and so on, as well as minimizing the environmental impact, and as a results strikes a balance between the two objective functions. Furthermore, in order to solve the proposed multi objective fuzzy mathematical programming model, an interactive fuzzy solution approach is applied. Numerical experiments are used to prove the applicability and feasibility of the developed possibilistic programming model and the usefulness of the applied hybrid solution approach.

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The design of reverse distribution networks: Models and solution procedures

Cited by 410 publications

References 30 publications

From closed-loop to sustainable supply chains: the WEEE case

From closed-loop to sustainable supply chains: the WEEE case

Designing a sustainable recovery network for waste from electrical and electronic equipment using a genetic algorithm

A new fuzzy mathematical model for green supply chain network design

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