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

Resources, Conservation and Recycling - Tập 54 Số 1 - Trang 28-36 - 2009
Kannan Govindan1, Shaligram Pokharel2, P. Sasikumar3
1Operations and Supply Chain Management, Department of Business and Economics, University of Southern Denmark, Odense 5230, Denmark
2School of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639 798, Singapore
3Department of Production Engineering, National Institute of Technology, Tiruchirappalli, Tamilnadu 620 015, India

Tóm tắt

Từ khóa


Tài liệu tham khảo

Bian, 2006, Location analysis of reverse logistics operations for an international electrical manufacturer in Asia Pacific region using the analytic hierarchy process, International Journal of Services Operations and Informatics, 1, 187, 10.1504/IJSOI.2006.010197

Byun, 2005, A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method, International Journal of Advanced Manufacturing Technology, 26, 1338, 10.1007/s00170-004-2099-2

Chen, 1996, Evaluating weapon systems using fuzzy arithmetic operations, Fuzzy Sets and Systems, 77, 265, 10.1016/0165-0114(95)00096-8

Chen, 2004, Combining gray relation and TOPSIS concepts for selecting an expatriate host country, Mathematical and Computer Modelling, 40, 1473, 10.1016/j.mcm.2005.01.006

Chen, 2006, A fuzzy approach for supplier evaluation and selection in supply chain management, International Journal of Production Economics, 102, 289, 10.1016/j.ijpe.2005.03.009

Cheng, 2002, Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation, European Journal of Operational Research, 142, 174, 10.1016/S0377-2217(01)00280-6

Cheng, 2002, Using multiple criteria decision analysis for supporting decision of solid waste management, Journal of Environmental Science and Health, Part A, 37, 975, 10.1081/ESE-120004517

Christopher, 1992

Chu, 2002, Facility location selection using fuzzy TOPSIS under group decision., International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10, 687, 10.1142/S0218488502001739

Cottrill, 2000, Return to sender, Traffic World, 262, 17

Deng, 2000, Inter-company comparison using modified TOPSIS with objective weights, Computers and Operations Research, 27, 963, 10.1016/S0305-0548(99)00069-6

Fleischmann, 2000, A characterization of logistics networks for product recovery, Omega, 28, 653, 10.1016/S0305-0483(00)00022-0

Forme, 2007, A framework to analyse collaborative performance, Computers in Industry, 58, 687, 10.1016/j.compind.2007.05.007

Gunasekaran, 2001, Performance measures and metrics in a supply chain environment, International Journal of Production and Operations Management, 21, 71, 10.1108/01443570110358468

Haq, 2006, Design of integration of supplier selection and multi Echelon distribution inventory model in a built-to-order supply chain environment, International Journal of Production Research, 44, 1963, 10.1080/00207540500381427

Haq, 2006, Fuzzy analytical hierarchy process for evaluating and selecting a vendor in a supply chain model, International Journal of Advanced manufacturing Technology, 29, 826, 10.1007/s00170-005-2562-8

Huang, 2005, Multidimensional data in multidimensional scaling using the analytic network process, Pattern Recognition Letters, 26, 755, 10.1016/j.patrec.2004.09.027

Hwang, 1981

Janic, 2003, Multi criteria evaluation of high-speed rail, transrapid maglev, and air passenger transport in Europe, Transportation Planning and Technology, 26, 491, 10.1080/0308106032000167373

Kannan, 2007, Analysis of interactions of criteria and sub-criteria for the selection of supplier in the built-in-order supply chain environment, International Journal of Production Research, 45, 3831, 10.1080/00207540600676676

Kannan, 2008

Kannan, 2008, Analysis and selection of green suppliers using interpretative structural modeling and analytic hierarchy process, International Journal of Management and Decision Making, 9, 163, 10.1504/IJMDM.2008.017198

Krumwiede, 2002, A model for reverse logistics entry by third-party providers, Omega, 30, 325, 10.1016/S0305-0483(02)00049-X

Kuo, 2006, Environmentally conscious design by using fuzzy multi-attribute decision making, International Journal of Advanced manufacturing Technology, 29, 209, 10.1007/s00170-005-2504-5

Liang, 1994, Personnel selection using fuzzy MCDM algorithm, European Journal of Operational Research, 78, 22, 10.1016/0377-2217(94)90119-8

Mandal, 1994, Vendor selection using interpretive structural modeling (ISM), International Journal of Operations and Production Management, 14, 52, 10.1108/01443579410062086

Meade, 2002, A conceptual model for selecting and evaluating third-party reverse logistics providers, Supply Chain Management: An International Journal, 7, 283, 10.1108/13598540210447728

Milani, 2005, The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection, Structural Multidisciplinary Optimization, 29, 312, 10.1007/s00158-004-0473-1

Parkan, 1999, Decision-making and performance measurement models with applications to robot selection, Computers and Industrial Engineering, 36, 503, 10.1016/S0360-8352(99)00146-1

Pokharel, 2009, Perspectives in reverse logistics: A review, Resources, Conservation and Recycling, 53, 175, 10.1016/j.resconrec.2008.11.006

Ravi, 2005, Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach, Computers & Industrial Engineering, 48, 327, 10.1016/j.cie.2005.01.017

Ravi, 2005, Analysis of interactions among the barriers of reverse logistics, Technological Forecasting & Social Change, 72, 1011, 10.1016/j.techfore.2004.07.002

Rushton, 1991

Sage, 1977

Sasikumar, 2008, Issues in reverse supply chains, Part-I: End-of-life product recovery and inventory management-An overview, International Journal of Sustainable Engineering, 1, 154, 10.1080/19397030802433860

Sasikumar, 2008, Issues in reverse supply chain, part II: reverse distribution issues – an overview, International Journal of Sustainable Engineering, 1, 234, 10.1080/19397030802509974

Sasikumar, 2009, Issues in reverse supply chain, part III: Classification and simple analysis, International Journal of Sustainable Engineering, 2, 2, 10.1080/19397030802673374

Saxena, 1992, Scenario building: a critical study of energy conservation in the Indian cement industry, Technological Forecasting and Social Change, 41, 121, 10.1016/0040-1625(92)90059-3

Sharma, 1995, The objectives of waste management in India: a futures inquiry, Technological Forecasting and Social Change, 48, 285, 10.1016/0040-1625(94)00066-6

Shih, 2007, An extension of TOPSIS for group decision making, Mathematical and Computer Modelling, 45, 801, 10.1016/j.mcm.2006.03.023

Srdjevic, 2004, An objective multi-criteria evaluation of water management scenarios, Water Resources Management, 18, 35, 10.1023/B:WARM.0000015348.88832.52

Warfield, 1974, Developing interconnected matrices in structural modeling, IEEE Transaction Systems Man and Cybernetics, 4, 51

Yang, 2005, Solving a multiresponse simulation–optimization problem with discrete variables using a multi-attribute decision-making method, Mathematics and Computers in Simulation, 68, 9, 10.1016/j.matcom.2004.09.004

Yang, 2007, Multiple-attribute decision making methods for plant layout design problem, Robotics and Computer-Integrated Manufacturing, 23, 126, 10.1016/j.rcim.2005.12.002

Yoon, 1985, Manufacturing plant location analysis by multiple attribute decision making. Part I. Single-plant strategy, International Journal of Production Research, 23, 345, 10.1080/00207548508904712

Zimmermann, 1991