Logistics network design for product recovery in fuzzy environment

Qin, Zhongfeng; Ji, Xiaoyu

doi:10.1016/j.ejor.2009.05.036

Cited by 108 publications

(55 citation statements)

References 31 publications

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“…In the same studies, GA has been used for clopped-loop optimization as a solution approach [4], [34], [70], [71] and it is employed to overcome the complexity in forward and reverse integration problems in [72]- [74]. In some studies [75]- [77] such as researchers integrate GA approach with fuzzy theory to overcome uncertainty and some parameter fuzziness. GA has been used by researchers to optimize remanufacturing optimization such McGovern and Gupta [78] that minimize workstations, and ensures similar idle times, as well as other end-of-life specific concerns for balancing in a disassembly line.…”

Section: A Genetic Algorithmmentioning

confidence: 99%

A Review of Nature-Based Algorithms Applications in Green Supply Chain Problems

Sadrnia¹,

Soltani²,

Zulkifli³

et al. 2014

IJET

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Abstract-In the recent years, there is a significant attention among researchers and practitioners to environmental issues and green supply chain (GrSC) because of legislations and profit oriented motivations.Because of considering environmental issues GrSC besides the economic variables, the models are very difficult to find optimal. Hence, complicated green problems call for development of modern optimization methods and algorithms to solve optimization models by efficient techniques. In recent decades, meta-heuristic algorithms have been developed to overcome the problem that most of them are inspired from nature. Some of the algorithms have been inspired from natural generation, some of them inspired from swarm behavior, and others simulate natural processes. In this research we summarize the recent advance evolutionary optimization algorithms and swarm intelligence algorithms which are applied to GrSC and green logistics. Literature reviewed in this paper shows the current state of the art and discusses the potential future research trends.Index Terms-Evolutionary algorithms, green supply chain, meta-heuristic, swarm intelligence algorithms.

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Section: A Genetic Algorithmmentioning

confidence: 99%

A Review of Nature-Based Algorithms Applications in Green Supply Chain Problems

Sadrnia¹,

Soltani²,

Zulkifli³

et al. 2014

IJET

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show abstract

“…[15 -16] stated that few studies have addressed the problem of determining the number and location of repair facilities where returned products from retailers or end-customers were inspected, repaired, and refurbished for redistribution. [17] proposed a hybrid approach integrating fuzzy concept and genetic algorithm for a network design problem.…”

Section: A Distribution Of Ai Techniques In Various Segments Of Rlmentioning

confidence: 99%

Importance of Artificial Intelligence in Reverse Logistics The State of the Art

Callialp¹,

Vayvay²,

Temucin³

2017

Sixth International Conference on Advances in Applied Science and Environmental Technology - ASET 2017

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Abstract-The primary target in this study is to present the tendency of academicians and practitioners towards the reverse logistics (RL) issue. Hence, the literature related to the issue is examined in detail and at the end of the study some valuable information is gathered according to the distribution of artificial intelligence (AI) techniques in various segments of RL. Based on the results presented, it'll be appropriate to decide whether it is a necessity to continue considering the RL concept in managerial processes or not.

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“…Erol and Thoming [87] investigated a procedure for synthesizing a RRN for a metal finishing process. Qian and Ji [88] employed a fuzzy programming tool to design the product recovery network considering the uncertainty inherent during the process of practical product recovery. A multi-product recycling network was presented for multiple recoverable material types [89], and a new genetic graphical method for simultaneous targeting and designing of a maximum paper recycling network was also presented [90].…”

Section: Reuse and Recycling Network (Rrn)mentioning

confidence: 99%

A systematic review of environmentally conscious product design

Li¹,

Gómez²,

Pehlken³

2015

Advances in Computer Science Research

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Abstract-Recently environmentally conscious product design (ECPD) is highlighted by research community, because of the global conscious about low carbon emission and sustainable development. ECPD cares about the environmental, social and economic impacts of products during their life cycle phases, with the destination to achieve product life cycle design for sustainability. Furthermore, information and communication technologies are important for the implementation of computer-aided eco-design. The theories, methods, software tools about ECPD during 2005 to 2015 were reviewed in this work. Five most related aspects including product eco-design, design for disassembly (DFD), design for recycling (DFR), material selection (MS), and eco-design software tools were analyzed as related categories. Eco-impact assessment was found to be a pre-step in ECPD followed by product eco-innovation. DFD, DFR, and MS helped to improve the energy efficiency and eco-friendliness of products. Eco-design software tools are focusing on CAD-integration, web-based and knowledge base-based characteristics. More eco-design software tools will be developed in specific industries and to handling products with composite materials.Keywords-product eco-design; design for sustainability (D4S); eco-design software tools; state-of-the-art; eco-friendly produts

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Logistics network design for product recovery in fuzzy environment

Cited by 108 publications

References 31 publications

A Review of Nature-Based Algorithms Applications in Green Supply Chain Problems

A Review of Nature-Based Algorithms Applications in Green Supply Chain Problems

Importance of Artificial Intelligence in Reverse Logistics The State of the Art

A systematic review of environmentally conscious product design

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