Integrated Fuzzy VIKOR and Fuzzy AHP Model for Supplier Selection in an Agile and Modular Virtual Enterprise Application of FMCDM on Service Companies

Volume 1, Issue 4, pp 413--434 http://dx.doi.org/10.22436/jmcs.001.04.19

Download PDF

Download XML

• Export citations
  • CITATIONS & REFERENCES
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)
  • ARTICLE CITATION
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)
  • REFERENCES
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)

• 2383 Downloads
• 3430 Views

Authors

Peyman Mohammady - Master's student, Information Technology management, Faculty of management and accounting, Tehran, I.R. Iran Amin Amid - Assistant professor of faculty of management and accounting, Tehran, I.R. Iran

Abstract

In this ever-changing world, organizations need to Outsource parts of their processes for having agile response to market's needs and varying demands. Because of temporal nature of virtual enterprises(VE's), the situation of outsourcing process in this kind of organizations is a vital situation. The main aim of this paper is to present a decision-making framework for specific area that is appropriated for complex states. The contribution of this paper is developing of fuzzy VIKOR method and combining it with fuzzy AHP. This extension suitable for decision-making situations whichbe face with mixture appraisement that simultaneously regarded to both "group utility" or majority and "individual regret" of the opponent. The Integrated and developed model is suitable for inconsistent conditions that we face to collection of criterias and sub criterias that should satisfy some of them collectively and simultaneously and in other attainment of some individual criterias is desirable. This framework then extended to a case study with varied criterias for outsourcing process.

Share and Cite

Keywords

• Fuzzy AHP
• Fuzzy VIKOR
• Multicriteria decision-making
• Virtual Enterprises

MSC

•  03E72
•  03B52
•  62C86

References

• [1] L. M. Camarinha-Matos, H. Afsarmanesh, C. Garita, Towards an architecture for virtual enterprises, J. Intell. Manuf., 9 (1998), 189--199
  • View Article
  • Google Scholar


• [2] H. W. M. Gazendam, Semiotics, Virtual Organisations, and Information Systems, in: Information, Organisation and Technology: Studies in Organisational Semiotics, 2001 (2001), 1--48
  • View Article
  • Google Scholar


• [3] G. D. Putnik, M. M. Cunha, R. Sousa, P. Avila, Virtual Enterprise Integration: Challenges of a New Paradigm, in: Virtual Enterprise Integration: Technological and Organizational Perspectives, 2005 (2005), 1--31
  • View Article
  • Google Scholar


• [4] H. Sharifi, Z. Zhang, A methodology for achieving agility in manufacturing organization: An introduction, Int. J. Prod. Econ., 62 (1999), 7--22
  • View Article
  • Google Scholar


• [5] Y. Y. Yusuf, M. Sarhadi, A. Gunasekaran, Agile manufacturing: The drivers, concepts and attributes, Int. J. Prod. Econ., 62 (1999), 33--43
  • View Article
  • Google Scholar


• [6] S. L. Goldman, R. N. Nagel, K. Preiss, Agile Competitors and Virtual Organizations: Strategies for Enriching the Customer, Van Nostrand Reinhold, New York (1995)
  • View Article
  • Google Scholar


• [7] P. T. Kidd, Agile Manufacturing: Forging New Frontiers, Addison-Wesley, London (1994)
  • View Article
  • Google Scholar


• [8] H. Sharifi, Z. Zhang, Agile manufacturing in practice-application of a methodology, Int. J. Oper. Prod. Man., 21 (2001), 772--794
  • View Article
  • Google Scholar


• [9] T. Y. Kim, S. Lee, K. Kim, C. H. Kim, A modeling framework for agile and interoperable virtual enterprises, Computers in Industry, 57 (2006), 204--217
  • View Article
  • Google Scholar


• [10] D. M. Anderson, Agile Product Development For Mass Customization: How to Develop and Deliver Products for Mass Customization, Niche Markets, JIT, Build-To-Order and Flexible Manufacturing, Irwin Professional Pub., Chicago (1997)
  • View Article
  • Google Scholar


• [11] A. K. W. Lau, R. C. M. Yam, E. P. Y. Tang, Supply chain product co-development, product modularity and product performance: Empirical evidence from Hong Kong manufacturers, Industrial Management & Data Systems, 107 (2007), 1036--1065
  • View Article
  • Google Scholar


• [12] C. H. Fine, Clockspeed: Winning Industry Control in the Age of Temporary Advantage, Perseus Books, U.S.A. (1999)
  • View Article
  • Google Scholar


• [13] V. Corvello, P. Migliarese, Virtual forms for the organization of production: A comparative analysis, Int. J. Prod. Econ., 110 (2007), 5--15
  • View Article
  • Google Scholar


• [14] C. Y. Baldwin, K. B. Clark, Managing in an Age of Modularity, Harvard Business Review, 75 (1997), 84--93
  • View Article
  • Google Scholar


• [15] D. R. Towill, The seamless supply chain - the predators strategic advantage, International Journal of the Techniques of Manufacturing, 13 (1997), 37--56
  • View Article
  • Google Scholar


• [16] N. Aissaoui, M. Haouari, E. Hassini, Supplier selection and order lot sizing modeling: A review, Comput. Oper. Res., 34 (2007), 3516--3540
  • View Article
  • Google Scholar


• [17] A. Q. Gill, B. Henderson-Sellers, Measuring agility and adaptability of agile methods: a 4- Dimensional Analytical Tool, Proceeding of IADIS International Conference Applied Computing, IADIS Press, 2006 (2006), 503--507
  • View Article
  • Google Scholar


• [18] M. A. Schilling, Modularity in multiple disciplines, in: Managing in the Modular Age: Architectures, Networks and Organizations, 2003 (2003), 203--214
  • View Article
  • Google Scholar


• [19] S. Opricovic, Multicriteria optimization of civil engineering systems, PhD Thesis (Faculty of Civil Engineering), Belgrade (1998)
  • View Article
  • Google Scholar


• [20] S. Opricovic, G. H. Tzeng, Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS, Eur. J. Oper. Res., 156 (2004), 445--455
  • View Article
  • Google Scholar


• [21] T. L. Saaty , The Analytic Hierarchy Process, McGraw-Hill, New York (1980)
  • Google Scholar


• [22] C. C. Yang, B. S. Chen, Key quality performance evaluation using Fuzzy AHP, Journal of the Chinese Institute of Industrial Engineers, 21 (2004), 543--550
  • View Article
  • Google Scholar


• [23] C.-C. Sun, A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods, Expert Systems with Applications, 37 (2010), 7745--7754
  • View Article
  • Google Scholar


• [24] F. Torfi, R. Z. Farahani, S. Rezapour, Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives, Applied Soft Computing, 10 (2010), 520--528
  • View Article
  • Google Scholar


• [25] J. Wang, K. Fan, W. Wang, Integration of fuzzy AHP and FPP with TOPSIS methodology for aeroengine health assessment, Expert Systems with Applications, 37 (2010), 8516--8526
  • View Article
  • Google Scholar


• [26] L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning, Information Science, 8 (1975), 199--249
  • View Article
  • Google Scholar


• [27] S. J. Chen, C. L. Hwang, Fuzzy Multiple Attribute Decision Making : Methods and Applications, Springer, New York (1992)
  • View Article
  • Google Scholar