Reverse logistics system planning for recycling electrical appliances and computers in Taiwan

Shih, Li Hsing

doi:10.1016/s0921-3449(00)00098-7

Cited by 266 publications

(98 citation statements)

References 17 publications

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“…They proposed a 0-1 MILP model to determine the location of distribution/remanufacturing facilities, the transshipment, production, and stocking of the optimal quantities of the remanufactured products. In [24] is proposed a model for addressing a recycling network of electrical appliances and computers in Taiwan.…”

Section: The Facility Location Problem For Reverse Supply Chainmentioning

confidence: 99%

An Hybrid Discrete Particle Swarm Optimization Algorithm For Solving A Sustainable Remanufacturing Suply Chain Problem

González¹,

Mateus²,

Luna³

et al. 2016

Anais Do 10. Congresso Brasileiro De Inteligência Computacional

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-We propose a hybrid evolutionary algorithm based on discrete Particle Swarm Optimization for solving a novel remanufacturing sustainable supply chain design problem. There is little research being done in mathematical modeling and solutions methods for these problems. The paper describes a NP-hard mixed-integer 0-1 model (MIP) for this remanufacturing sustainable problem in which given a network of three layers, we have to determine the number of remanufacturing facilities to be located at sites chosen from among a given set of candidate sites, to allocate sourcing facilities to remanufacturing facilities and remanufacturing facilities to demand facilities with a given demand. The objective is to minimize transportation, distribution and operation costs of the facilities. The heuristics combine the traditional binary PSO algorithm with greedyexchange strategies in order to improve the quality of the solutions. We report computational results for instances generated from known data test available in the literature.

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Section: The Facility Location Problem For Reverse Supply Chainmentioning

confidence: 99%

An Hybrid Discrete Particle Swarm Optimization Algorithm For Solving A Sustainable Remanufacturing Suply Chain Problem

González¹,

Mateus²,

Luna³

et al. 2016

Anais Do 10. Congresso Brasileiro De Inteligência Computacional

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show abstract

“…Li-Hsing, 2001 andHu et al 2002). Another group of researches focused on the optimal disassembly or recycling sequence are (Gerner et al 2005;Johnson & Wang, 1995;Penev & Ron, 1996;Gupta, 2002 andLambert, 1997).…”

Section: Reverse Logistics Managementmentioning

confidence: 99%

A Study of Consumer Behavior on Recycling of Fluorescent Lamps in São Paulo, Brazil

Laruccia

Nascimento

Deghi³

et al. 2011

IJBA

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The purpose of this article is to understand consumer behavior on the disposal of fluorescent lamps used in Sao Paulo, Brazil. The research discusses the consumer's decision on recycling, environmental aspects of disposal of fluorescent lamps and reverse logistics. Regarding methodology procedures we used a survey on the basis of convenience, with a sample of 240 people. As a result, most people discard fluorescent lamps in the organic waste and considering the right place for disposal the selective collection and recycle post. However, the posts for selective collection are not prepared for the effective recycling of fluorescent lamps and components in Brazil.

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“…One of the potential solution to treat end-of-life products is RSC which has been attracted an increasing number of research activies (Sinha-Khetriwal et al, 2005;Saphores et al, 2012;Bouvier and Wagner, 2011;Li and Tee, 2012;Nagurney and Toyasaki, 2005;Kilic et al, 2015;Grunow and Gobbi, 2009;Shih, 2001;Menikpura et al, 2014;Niknejad and Petrovic, 2014;Rajagopalan and Liles, 2006;Amer et al, 2011). Most studies mainly consider the total cost for processing end-of-life products across RSC (Achillas et al, 2010;Dat et al, 2012;Phuc et al, 2013;Niknejad and Petrovic, 2014;Demirel et al, 2016;Fleischmann et al, 2001) and apply Mixed Integer Linear Programming (MILP) formulation to their models (John et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Optimizing an E-Waste Reverse Supply Chain Model while Incorporating Risk Costs

Doan¹,

Amer²,

Lee³

et al. 2017

American Journal of Engineering and Applied Sciences

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Abstract:The rapid growth of Electronic Waste (E-waste) in recent years has created serious influences on the environment and society. The highly potential solution to mitigate this issue is the Reverse Supply Chain (RSC) which can reuse and recover E-waste materials. Risks generally derive from a RSC operation such as collection, transportation and treatment risks, but most studies ignore risk effects on the total cost of E-waste treatment in the RSC model. This paper aims to develop a mathematical model for an Ewaste RSC considering risk costs. This proposed model applied mixed integer linear programming and solved by a mathematical programming language. An illustrative example is examined to demonstrate the effectiveness of the proposed model. Sensitive analysis is also presented. The results can determine the optimal locations of facilities and the flow of materials or items in a RSC network. Furthermore, the network design decisions have been changed considerably while risk costs are incorporated.

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Reverse logistics system planning for recycling electrical appliances and computers in Taiwan

Cited by 266 publications

References 17 publications

An Hybrid Discrete Particle Swarm Optimization Algorithm For Solving A Sustainable Remanufacturing Suply Chain Problem

An Hybrid Discrete Particle Swarm Optimization Algorithm For Solving A Sustainable Remanufacturing Suply Chain Problem

A Study of Consumer Behavior on Recycling of Fluorescent Lamps in São Paulo, Brazil

Optimizing an E-Waste Reverse Supply Chain Model while Incorporating Risk Costs

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