A fuzzy modeling and solution algorithm for optimization on e-waste reverse logistics

Zhao Hua Wang; Jian Hua Yin; Wei Min Ma

doi:10.1109/ICMLC.2008.4620451

A fuzzy modeling and solution algorithm for optimization on e-waste reverse logistics

Zhao Hua Wang^*
, Jian Hua Yin
, Wei Min Ma

^*Corresponding author for this work

Beijing Institute of Technology
University of International Business and Economics
Tongji University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

At present, E-waste has become a considerable problem in China. Based on the multi-objective programming theory, this paper develops a fuzzy mathematic model for the location of treatment sites and transfer sites for e-wastes. Firstly, it proposes a two-phase fuzzy algorithm. Secondly, through solving the model, it conducts an analysis on the locations and numbers of these sites and how to assign the generation sites to transfer sites. Therefore, a reverse network for e-waste is constructed. Finally, it takes Dalian Economic-Technological Develop Area in Dalian city in China as a case to prove the availability of the fuzzy model.

Original language	English
Title of host publication	Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Publisher	IEEE Computer Society
Pages	472-478
Number of pages	7
ISBN (Print)	9781424420964
DOIs	https://doi.org/10.1109/ICMLC.2008.4620451
Publication status	Published - 2008
Externally published	Yes
Event	7th International Conference on Machine Learning and Cybernetics, ICMLC 2008 - Kunming, China Duration: 12 Jul 2008 → 15 Jul 2008

Publication series

Name	Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Volume	1

Conference

Conference	7th International Conference on Machine Learning and Cybernetics, ICMLC 2008
Country/Territory	China
City	Kunming
Period	12/07/08 → 15/07/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

E-waste
Fuzzy algorithm
Reverse logistics

Access to Document

10.1109/ICMLC.2008.4620451

Cite this

Wang, Z. H., Yin, J. H., & Ma, W. M. (2008). A fuzzy modeling and solution algorithm for optimization on e-waste reverse logistics. In Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC (pp. 472-478). Article 4620451 (Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ICMLC.2008.4620451

@inproceedings{697abb392b724b85a7057fba2fc97b2e,

title = "A fuzzy modeling and solution algorithm for optimization on e-waste reverse logistics",

abstract = "At present, E-waste has become a considerable problem in China. Based on the multi-objective programming theory, this paper develops a fuzzy mathematic model for the location of treatment sites and transfer sites for e-wastes. Firstly, it proposes a two-phase fuzzy algorithm. Secondly, through solving the model, it conducts an analysis on the locations and numbers of these sites and how to assign the generation sites to transfer sites. Therefore, a reverse network for e-waste is constructed. Finally, it takes Dalian Economic-Technological Develop Area in Dalian city in China as a case to prove the availability of the fuzzy model.",

keywords = "E-waste, Fuzzy algorithm, Reverse logistics",

author = "Wang, \{Zhao Hua\} and Yin, \{Jian Hua\} and Ma, \{Wei Min\}",

year = "2008",

doi = "10.1109/ICMLC.2008.4620451",

language = "English",

isbn = "9781424420964",

series = "Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC",

publisher = "IEEE Computer Society",

pages = "472--478",

booktitle = "Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC",

address = "United States",

note = "7th International Conference on Machine Learning and Cybernetics, ICMLC 2008 ; Conference date: 12-07-2008 Through 15-07-2008",

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Wang, ZH, Yin, JH & Ma, WM 2008, A fuzzy modeling and solution algorithm for optimization on e-waste reverse logistics. in Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC., 4620451, Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC, vol. 1, IEEE Computer Society, pp. 472-478, 7th International Conference on Machine Learning and Cybernetics, ICMLC 2008, Kunming, China, 12/07/08. https://doi.org/10.1109/ICMLC.2008.4620451

A fuzzy modeling and solution algorithm for optimization on e-waste reverse logistics. / Wang, Zhao Hua; Yin, Jian Hua; Ma, Wei Min.
Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC. IEEE Computer Society, 2008. p. 472-478 4620451 (Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Wang, Zhao Hua

AU - Yin, Jian Hua

AU - Ma, Wei Min

PY - 2008

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N2 - At present, E-waste has become a considerable problem in China. Based on the multi-objective programming theory, this paper develops a fuzzy mathematic model for the location of treatment sites and transfer sites for e-wastes. Firstly, it proposes a two-phase fuzzy algorithm. Secondly, through solving the model, it conducts an analysis on the locations and numbers of these sites and how to assign the generation sites to transfer sites. Therefore, a reverse network for e-waste is constructed. Finally, it takes Dalian Economic-Technological Develop Area in Dalian city in China as a case to prove the availability of the fuzzy model.

AB - At present, E-waste has become a considerable problem in China. Based on the multi-objective programming theory, this paper develops a fuzzy mathematic model for the location of treatment sites and transfer sites for e-wastes. Firstly, it proposes a two-phase fuzzy algorithm. Secondly, through solving the model, it conducts an analysis on the locations and numbers of these sites and how to assign the generation sites to transfer sites. Therefore, a reverse network for e-waste is constructed. Finally, it takes Dalian Economic-Technological Develop Area in Dalian city in China as a case to prove the availability of the fuzzy model.

KW - E-waste

KW - Fuzzy algorithm

KW - Reverse logistics

UR - https://www.scopus.com/pages/publications/57849167059

U2 - 10.1109/ICMLC.2008.4620451

DO - 10.1109/ICMLC.2008.4620451

M3 - Conference contribution

AN - SCOPUS:57849167059

SN - 9781424420964

T3 - Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

SP - 472

EP - 478

BT - Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

PB - IEEE Computer Society

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Y2 - 12 July 2008 through 15 July 2008

ER -

Wang ZH, Yin JH, Ma WM. A fuzzy modeling and solution algorithm for optimization on e-waste reverse logistics. In Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC. IEEE Computer Society. 2008. p. 472-478. 4620451. (Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC). doi: 10.1109/ICMLC.2008.4620451

A fuzzy modeling and solution algorithm for optimization on e-waste reverse logistics

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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