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Neural Computing and Applications

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24.08.2016 | Original Article

Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry

verfasst von: Vipul Jain, Arun Kumar Sangaiah, Sumit Sakhuja, Nittin Thoduka, Rahul Aggarwal

Erschienen in: Neural Computing and Applications | Ausgabe 7/2018

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Supplier selection is one of the key activities of purchase management in supply chain. Supplier selection is a multifaceted problem relating qualitative and quantitative multi-criteria. This paper deals with a supplier selection problem in an Indian automobile company. The work presents selection of headlamp supplier using integrated fuzzy multi-criteria decision-making approaches: analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS). The selection process starts with identifying the criteria based on literature review and interviewing industry experts. Weights to criteria are assigned using AHP, and suppliers are ranked using AHP and TOPSIS. Consistency tests are carried out to check the quality of expert’s inputs. Also, sensitivity analysis is done to check the robustness of the approach. The results address that fuzzy approaches could be effective and more accurate than the existing approaches for supplier selection problems.

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Al Maliki A, Owen G, Bruce D (2012) Combining AHP and TOPSIS approaches to support site selection for a lead pollution study. Doctoral dissertation, IACSIT Press

Alsuwehri YN (2011) Supplier evaluation and selection by using the analytic hierarchy process approach. Doctoral dissertation, The University of Kansas

Aly MF, Attia HA, Mohammed AM (2013) Integrated fuzzy (GMM)-TOPSIS model for best design concept and material selection process. Int J Innov Res Sci Eng Technol 2(11):6464–6486

Behzadian M, Otaghsara SK, Yazdani M, Ignatius J (2012) A state-of the-art survey of TOPSIS applications. Expert Syst Appl 39(17):13051–13069CrossRef

Beşkese A, Şakra A (2010) A model proposal for supplier selection in automotive industry. In: 14th international research/expert conference TMT

Büyüközkan G (2012) An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. Int J Prod Res 50(11):2892–2909CrossRef

Cabala P (2010) Using the analytic hierarchy process in evaluating decision alternatives. Oper Res Decis 1:1–23MathSciNet

Chamodrakas I, Batis D, Martakos D (2010) Supplier selection in electronic marketplaces using satisficing and fuzzy AHP. Expert Syst Appl 37(1):490–498CrossRef

Christopher M, Mena C, Khan O, Yurt O (2011) Approaches to managing global sourcing risk. Supply Chain Manag Int J 16(2):67–81CrossRef

10.

Dalalah D, Al-Oqla F, Hayajneh M (2010) Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of cranes. Jordan J Mech Ind Eng 4(5):567–578

11.

Deng X, Hu Y, Deng Y, Mahadevan S (2014) Supplier selection using AHP methodology extended by D numbers. Expert Syst Appl 41(1):156–167CrossRef

12.

Dyer JH, Cho DS, Chu W (1998) Strategic supplier segmentation: the next “best practice” in supply chain management. Calif Manag Rev 40(2):57–77CrossRef

13.

Gopal J, Sangaiah AK, Basu A, Gao XZ (2015) Integration of fuzzy DEMATEL and FMCDM approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome. Int J Mach Learn Cybernet. doi:10.1007/s13042-015-0370-5

14.

Gülen KG (2007) Supplier selection and outsourcing strategies in supply chain management. J Aeronaut Space Technol 3(2):1–6

15.

Gürler AGİ (2007) Supplier selection criteria of Turkish automotive industry. J Yaşar Univ 2(6):555–569

16.

Handfield R, Walton SV, Sroufe R, Melnyk SA (2002) Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process. Eur J Oper Res 141(1):70–87CrossRefMATH

17.

Ho W, Xu X, Dey PK (2010) Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur J Oper Res 202(1):16–24CrossRefMATH

18.

Jamil N, Besar R, Sim HK (2013) A study of multicriteria decision making for supplier selection in automotive industry. J Ind Eng 2013:1–22, Article ID 841584. doi:10.1155/2013/841584

19.

Koprulu A, Albayrakoglu MM (2007) Supply chain management in the textile industry: a supplier selection model with the analytical hierarchy process. In: Proceeding of the international symposium on the analytic hierarchy process, Viña Del Mar, Chile

20.

Kornyshova E, Salinesi C (2007) MCDM techniques selection approaches: state of the art. In: IEEE symposium on computational intelligence in multicriteria decision making, pp. 22–29

21.

Kumar S, Parashar N, Haleem A (2009) Analytical hierarchy process applied to vendor selection problem: small scale, medium scale and large scale industries. Bus Intell J 2(2):355–362

22.

Liao CN, Kao HP (2010) Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming. Comput Ind Eng 58(4):571–577CrossRef

23.

Marufuzzaman M, Ahsan KB, Xing K (2009) Supplier selection and evaluation method using Analytical Hierarchy Process (AHP): a case study on an apparel manufacturing organisation. Int J Value Chain Manag 3(2):224–240CrossRef

24.

Özkan B, Başlıgil H, Şahin N (2011) Supplier selection using analytic hierarchy process: an application from Turkey. In: Proceedings of the world congress on engineering, vol 2, pp. 6–8

25.

Pitchipoo P, Venkumar P, Rajakarunakaran S (2013) Fuzzy hybrid decision model for supplier evaluation and selection. Int J Prod Res 51(13):3903–3919CrossRef

26.

Rezaei J, Ortt R (2013) Multi-criteria supplier segmentation using a fuzzy preference relations based AHP. Eur J Oper Res 225(1):75–84CrossRefMATH

27.

Rouyendegh BD, Saputro TE (2014) Supplier selection using integrated fuzzy TOPSIS and MCGP: a case study. Procedia Soc Behav Sci 116:3957–3970CrossRef

28.

Saaty RW (1987) The analytic hierarchy process—what it is and how it is used. Math Model 9(3):161–176MathSciNetCrossRefMATH

29.

Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48(1):9–26CrossRefMATH

30.

Sadeghzadeh K, Salehi MB (2011) Mathematical analysis of fuel cell strategic technologies development solutions in the automotive industry by the TOPSIS multi-criteria decision making method. Int J Hydrogen Energy 36(20):13272–13280CrossRef

31.

Sagar MK, Singh D (2012) Supplier selection criteria: study of automobile sector in India. Int J Eng Res Dev 4(4):34–39

32.

Sangaiah AK, Subramaniam PR, Zheng X (2015) A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors. Neural Comput Appl 26(5):1025–1040CrossRef

33.

Sangaiah AK, Gopal J, Basu A, Subramaniam PR (2015) An integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome. Neural Comput Appl. doi:10.1007/s00521-015-2040-7

34.

Sangaiah AK, Gao XZ, Ramachandran M, Zheng X (2015) A fuzzy DEMATEL approach based on intuitionistic fuzzy information for evaluating knowledge transfer effectiveness in GSD projects. Int J Innovative Comput Appl 6(3–4):203–215CrossRef

35.

Shakey BK (2006) Supplier selection using AHP and promethee-2. Int J Sci Res 6:156–160

36.

Verma DS, Pateriya A (2013) Supplier selection through analytical hierarchy process: a case study in small scale manufacturing organization. Int J Eng Trends Technol 4(5):1428–1433

37.

Viswanadham N, Vedula S, Kulkarni R (2013) Orchestrating the print supply chain in emerging markets. In: 2013 IEEE international conference on automation science and engineering (CASE), pp. 213–218

38.

Xu L, Kumar DT, Shankar KM, Kannan D, Chen G (2013) Analyzing criteria and sub-criteria for the corporate social responsibility-based supplier selection process using AHP. Int J Adv Manuf Technol 68(1–4):907–916CrossRef

39.

Yilmaz O, Gülsün B, Güneri AF, Özgürler Ş, Endüstri BY, Besiktas MB (2011) Supplier selection of a textile company with ANP. In: 15th international research/expert conference, “Trends in the development of machinery and associated technology”, TMT 2011, Prague, Czech Republic

40.

Zarbini-Sydani A, Karbasi A, Atef-Yekta E (2011) Evaluating and selecting supplier in textile industry using hierarchical fuzzy TOPSIS. Indian J Sci Technol 4(10):1322–1334

Titel: Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry
verfasst von: Vipul Jain
Arun Kumar Sangaiah
Sumit Sakhuja
Nittin Thoduka
Rahul Aggarwal
Publikationsdatum: 24.08.2016
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 7/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2533-z

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