International Journal of Computational Intelligence Systems

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Volume 9, Issue 5, September 2016, Pages 984 - 1000

Component oriented remanufacturing decision-making for complex product using DEA and interval 2-tuple linguistic TOPSIS*

Authors
Xiuli Geng1, , xiuliforever@163.com, Xiaomin Gong1, Xuening Chu2, xnchu@sjtu.edu.cn
1Business School, University of Shanghai for Science of Technology, Shanghai, 200093, China
2School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
*Corresponding author. E-mail: xiuliforever@163.com
Corresponding Author
Received 23 January 2016, Accepted 21 June 2016, Available Online 1 September 2016.
DOI
10.1080/18756891.2016.1237195How to use a DOI?
Keywords
remanufacturing decision-making; data envelopment analysis; interval 2-tuple; concept selection; TOPSIS method
Abstract

Remanufacturing has been attracting attentions of global manufacturers as an important sustainable development strategy. Component oriented remanufacturing decision-making for complex product involving two phases is proposed in this paper. The first phase is to decide which components to be remanufactured using DEA. To overcome the drawback of traditional DEA without weight constraints, an augmented DEA is applied to evaluate the efficiencies of the pre-selected components considering manufacturing characteristic, comparative cost advantage and general returned status. The second phase is to select an appropriate remanufacturing concept for each efficient component. Interval 2-tuple linguistic model is used in obtaining and collecting experts’ evaluations. Besides subjective experts’ weights, the objective weights of them are considered in the group decision-making process, which are determined by the precision degree of information experts have given. TOPSIS integrated with interval 2-tuple fuzzy linguistic representation model is proposed to rank alternative remanufacturing concepts. A new distance measuring method between two interval 2-tuple vectors is given out considering both the subjective and objective criteria weights. The objective criterion weight is determined by the discrete degree of the performances of all alternatives on this criterion. A case study is carried out to demonstrate the effectiveness of the developed remanufacturing decision-making approach for complex product.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 5
Pages
984 - 1000
Publication Date
2016/09/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1237195How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Xiuli Geng
AU  - Xiaomin Gong
AU  - Xuening Chu
PY  - 2016
DA  - 2016/09/01
TI  - Component oriented remanufacturing decision-making for complex product using DEA and interval 2-tuple linguistic TOPSIS*
JO  - International Journal of Computational Intelligence Systems
SP  - 984
EP  - 1000
VL  - 9
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1237195
DO  - 10.1080/18756891.2016.1237195
ID  - Geng2016
ER  -