A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider

被引：431
作者：
Kannan, Govindan [1 ]
Pokharel, Shaligram [2 ]
Kumar, P. Sasi [3 ]
机构：
[1] Univ So Denmark, Dept Econ & Business, DK-5230 Odense, Denmark
[2] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore
[3] Natl Inst Technol, Dept Prod Engn, Tiruchirappalli 620015, Tamil Nadu, India
来源：
RESOURCES CONSERVATION AND RECYCLING | 2009年 / 54卷 / 01期
关键词：
Reverse logistics; Third-party reverse logistics provider (3PRLP); Interpretive Structural Modeling (ISM); Fuzzy TOPSIS; ATTRIBUTE DECISION-MAKING; SUPPLY CHAIN; MULTICRITERIA EVALUATION; MANAGEMENT; CRITERIA; DESIGN; ISSUES; MODELS;
D O I：
10.1016/j.resconrec.2009.06.004
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Return of used products is becoming an important logistics activity due to government legislation and increasing awareness among the people to protect the environment and reduce waste. For industries, the management of return flow usually requires a specialized infrastructure with special information systems for tracking and dedicated equipment for the processing of returns. Therefore, industries are turning to third-party reverse logistics providers (3PRLPs). In this study, a multi-criteria group decision-making (MCGDM) model in fuzzy environment is developed to guide the selection process of best 3PRLP. The interactions among the criteria are also analyzed before arriving at a decision for the selection of 3PRLP from among 15 alternatives. The analysis is done through Interpretive Structural Modeling (ISM) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS). Finally the effectiveness of the model is illustrated using a case study on battery manufacturing industry in India. (C) 2009 Elsevier B.V. All rights reserved.
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页码：28 / 36
页数：9
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