Supplier selection of an Indian heavy locomotive manufacturer: An integrated approach using Taguchi loss function, TOPSIS, and AHP

被引:31
作者
Kumar, Rajnish [1 ]
Padhi, Sidhartha S. [2 ]
Sarkar, Ashutosh [2 ]
机构
[1] Indian Railways, New Delhi, India
[2] Indian Inst Management Kozhikode, Kozhikode, Kerala, India
关键词
Taguchi loss function; AHP; TOPSIS; Case study; Indian locomotive; DECISION-SUPPORT-SYSTEM;
D O I
10.1016/j.iimb.2018.08.008
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Supplier selection is increasingly seen as a strategic issue for any firm. In the literature, a variety of supplier selection criteria and methodologies have been reported. However, in this article, to find the most dependable supplier for an Indian heavy locomotive firm, some of the selection criteria like quality, delivery, price and service are employed. Subsequently, an integrated model is proposed for objective assessment of suppliers by integrating three methods namely, Taguchi loss function, analytical hierarchy process (AHP), and technique for order performance by similarity to ideal solution (TOPSIS). Finally, two cases of the firm under study, along with sensitivity analysis, are considered to demonstrate the credibility of the model. (c) 2019 Published by Elsevier Ltd on behalf of Indian Institute of Management Bangalore. This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码:78 / 90
页数:13
相关论文
共 38 条
[1]   Supplier selection in the processed food industry under uncertainty [J].
Amorim, Pedro ;
Curcio, Eduardo ;
Almada-Lobo, Bernardo ;
Barbosa-Povoa, Ana P. F. D. ;
Grossmann, Ignacio E. .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 252 (03) :801-814
[2]  
[Anonymous], 2016, NEURAL COMPUT APPL
[3]  
Barla S. B., 2003, Logistics Information Management, V16, P451, DOI 10.1108/09576050310503420
[4]   A state-of the-art survey of TOPSIS applications [J].
Behzadian, Majid ;
Otaghsara, S. Khanmohammadi ;
Yazdani, Morteza ;
Ignatius, Joshua .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (17) :13051-13069
[5]   A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method [J].
Boran, Fatih Emre ;
Genc, Serkan ;
Kurt, Mustafa ;
Akay, Diyar .
EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (08) :11363-11368
[6]   A fuzzy TOPSIS methodology to support outsourcing of logistics services [J].
Bottani, Eleonora ;
Rizzi, Antonio .
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2006, 11 (04) :294-308
[7]   Logistics tool selection with two-phase fuzzy multi criteria decision making: A case study for personal digital assistant selection [J].
Buyukozkan, Gulcin ;
Arsenyan, Jbid ;
Ruan, Da .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (01) :142-153
[8]   Application of the analytical hierarchy process for real-time scheduling and part routing in advanced manufacturing systems [J].
Buyurgan, N. ;
Saygin, C. .
JOURNAL OF MANUFACTURING SYSTEMS, 2008, 27 (03) :101-110
[9]   Application of decision-making techniques in supplier selection: A systematic review of literature [J].
Chai, Junyi ;
Liu, James N. K. ;
Ngai, Eric W. T. .
EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (10) :3872-3885
[10]   Global supplier selection: a fuzzy-AHP approach [J].
Chan, Felix T. S. ;
Kumar, N. ;
Tiwari, M. K. ;
Lau, H. C. W. ;
Choy, K. L. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2008, 46 (14) :3825-3857