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Reseach Article

Application of AHP-VIKOR Hybrid MCDM Approach for 3pl Selection: A Case Study

Published on August 2015 by Arvind Jayant, Priya Singh
International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 5
August 2015
Authors: Arvind Jayant, Priya Singh
3ef0d72a-7474-45dd-b957-2041b95f2f23

Arvind Jayant, Priya Singh . Application of AHP-VIKOR Hybrid MCDM Approach for 3pl Selection: A Case Study. International Conference on Advancements in Engineering and Technology. ICAET2015, 5 (August 2015), 4-11.

@article{
author = { Arvind Jayant, Priya Singh },
title = { Application of AHP-VIKOR Hybrid MCDM Approach for 3pl Selection: A Case Study },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 5 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 4-11 },
numpages = 8,
url = { /proceedings/icaet2015/number5/22234-4061/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Arvind Jayant
%A Priya Singh
%T Application of AHP-VIKOR Hybrid MCDM Approach for 3pl Selection: A Case Study
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 5
%P 4-11
%D 2015
%I International Journal of Computer Applications
Abstract

Multi-criteria decision making (MCDM) is one of the most common activities in human society. It consists of selecting the optimal one from a set of available alternatives with respect to the predefined criteria or attributes. In this paper, a hybrid decision making approach integrating Analytical hierarchical process (AHP) operators into VIKOR is proposed for tackling multi criteria problems with conflicting and non-commensurable (different units) criteria. A manufacturer produces new products by using original components or by remanufactured components. The used products are collected by the manufacturer or the retailer or a third party logistics operator. Companies can no longer afford to treatment of recovered products. It needs to be a core capability within the supply chain organization. Understanding and properly managing the reverse logistics can not only reduce costs, but also increase revenues. It can also make a huge difference in retaining consumer loyalty and protecting the brand. Due to intricacies, considerable risks are involved in product recovery operations; therefore core competency and experience are prerequisite for successful implementation of reverse logistics process to Third-Party Logistics Providers (3PLPs). The selection of third?party logistics provider is an intriguing practical and research question. The objective of this work is to develop decision support system to assist the decision-makers in selection and evaluation of different third-party reverse logistics providers by Analytical hierarchical process (AHP) and Višekriterijumsko kompromisno rangiranje (VIKOR) methods. A real life case of a mobile manufacturing company is taken to demonstrate the steps of the decision support system.

References
  1. A. C. Suyabatmaz, F. T. Altekin & G. Sahin (2014), 'Hybrid simulation-analytical modelling approaches for the reverse logistics network design of a third-party logistics provider', Computers & Industrial Engineering, ISSN: 1984-3046, Vol. 7, 2, 37 – 58.
  2. A. Jayant, P. Gupta, S. K. Garg & M. Khan (2014), 'TOPSIS-AHP Based Approach for Selection of Reverse Logistics Service Provider: A Case Study of Mobile Phone Industry', Procedia Engineering, 97, 2147-2156.
  3. A. Sanayei, S. F. Mousavi & A. Yazdankhah (2010), 'Group decision making process for supplier selection with VIKOR under fuzzy environment', Expert Systems with Applications, 37, 24–30.
  4. C. Franke, B. Basdere, M. Ciupek & S. Seliger (2006), 'Remanufacturing of Mobile Phones—Capacity, Program and Facility Adaptation Planning', Omega, 34, 562–570.
  5. C. L. Chang & C. H. Hsu (2009), 'Multi-criteria analysis via the VIKOR method for prioritizing land-use restraint strategies in the Tseng–Wen reservoir watershed', Journal of Environmental Management, 90, 3226–3230.
  6. E. Triantaphyllou (2000), 'Multi-criteria Decision Making Methods: a Comparative Study', Kluwer Academic Publishers.
  7. G. Kannan, P. Murugesan, Z. Qinghua and K. Devika (2012), 'Analysis of third party reverse logistics provider using interpretive structural modeling', Int. J. Production Economics, Vol. 140, 204–211.
  8. H. Haleh & A. Hamidi (2011), 'A fuzzy MCDM model for allocating orders to suppliers in a supply chain under uncertainty over a multi-period time horizon', Expert Systems with Applications, 38(8), 9076–9083.
  9. J. J. H. Liou, C. Y. Tsai, R. H. Lin & G. H. Tzeng (2010), 'A modified VIKOR multiple criteria decision method for improving domestic airlines service quality', Journal of Air Transport Management, 1–5.
  10. J. M. Merigó (2011), 'Fuzzy multi-person decision making with fuzzy probabilistic aggregation operators', Int. J. Fuzzy Syst, 13, 163–174.
  11. L. Y. Chen & T. C. Wang (2009), 'optimizing partners' choice in IS/IT outsourcing Projects: The strategic decision of fuzzy VIKOR', International Journal of Production Economics, 120, 233–242.
  12. M. K. Sayadi, M. Heydari & K. Shahanaghi (2009), 'Extension of VIKOR method for Decision making problem with interval numbers', Applied Mathematical Modeling, 33, 2257–2262.
  13. S. Opricovic (1998), 'Multicriteria optimization of civil engineering systems (in Serbian, Visekriterijumska optimizacija sistema u gradjevinarstvu)', Belgrade: Faculty of Civil Engineering.
  14. S. Opricovic & G. H. Tzeng (2007), 'Extended VIKOR method in comparison with outranking methods', European Journal of Operational Research, 178, 514–529.
  15. S. Opricovic (2011), 'Fuzzy VIKOR with an application to water resources planning', Expert Systems with Applications, 38(10), 12983–12990.
  16. T. Efendigil, S. Önüt and E. Kongar (2008), 'A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness', Computers and Industrial Engineering, Vol. 54, 269–287. T. L. Saaty (1980), 'The Analytic Hierarchy Process', McGraw-Hill, New York.
  17. T. Kaya & C. Kahraman (2010), 'Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul', Energy, 1–11.
  18. W. E. Yang, J. Q. Wang, X. F. Wang (2012), 'An outranking method for multi-criteria decision making with duplex linguistic information', Fuzzy Set Syst, 198, 20–33.
  19. Y. Deng & F. T. X. Chan (2011), 'A new fuzzy dempster MCDM method and its application in supplier selection', Expert Systems with Applications, 38(8), 9854–9861.
Index Terms

Computer Science
Information Sciences

Keywords

Reverse Logistics Supply Chain Mcdm Methods 3prl Selection