Design of a multi criteria decision model-fuzzy analytical hierarchy approach

  • Authors

    • P. Sona
    • T. Johnson
    • C. Vijayalakshmi
    2017-12-21
    https://doi.org/10.14419/ijet.v7i1.1.9209
  • Fuzzy analytical hierarchy process, multi criteria decision making, SCM, linguistic terms, defuzzification, normalization, comparison matrix, consistency index.

  • Abstract

    In Supply Chain Management(SCM),vendor selection has become a very important activity. By selecting the appropriate vendor, companies can avoid barriers and do for efficient production. The aim of this paper is to identify the important criteria that may develop strategies of the organizations. It deals with the analysis of vendor selection problem using Fuzzy Analytical Hierarchy Process (FAHP).The comparison has made between the parameters criteria and alternatives by designing a model of uncertainty. The proposed method has applied in an automobile industry to choose their vendors in a best way.

  • References

    1. [1] Fernandas AC, Sampaio P & carvalho MS, “Quality Management and supply chain management integration a conceptual modelâ€, Proceedings of the International conference on Industrial Engineering & operations management, Bali, Indonesia (2014).

      [2] Szűts A & Krómer I, “Developing a Fuzzy Analytic Hierarchy Process for Choosing the Energetically Optimal Solution at the Early Design Phase of a Buildingâ€, Acta Polytechnica Hungarica, Vol.12, No.3, (2015), pp.25-39.

      [3] Ishizaka A, “Comparison of Fuzzy logic, AHP, FAHP and Hybrid Fuzzy AHP for new Supplier selection and its performance analysisâ€, International Journal of Integrated Supply Management, Vol.9, No.1/2, (2014), pp.1-22.

      [4] Chang DY, “Applications of the extent analysis method on fuzzy AHPâ€, European Journal of Operational Research, Vol.95, No.3, (1996), pp.649–655.

      [5] Kavitha C & Vijayalakshmi C, “Implementation of supplier evaluation and ranking by improved TOPSISâ€, Applied Mathematical Sciences, Vol.7, No.46, (2013).

      [6] Kavitha C & Vijayalakshmi C, “Design and Implementation of Fuzzy Multi Objective Optimization Model for Production Planningâ€, Indian journal of applied research, Vol.3, No.12, (2013).

      [7] Manju, K., Sabeenian, R.S., Surendar, A.â€A review on optic disc and cup segmentationâ€,(2017) Biomedical and Pharmacology Journal, 10 (1), pp. 373-379.

      [8] Coyle JJ, Bardi EJ & Langley CJ, The Management of Business Logistics: A Supply Chain Perspective. South-Western Thomson Learning, Ohio, (2003).

      [9] Tavana M, Azizi F, Azizi F & Behzadian M, “A fuzzy inference system with application to player selection and team formation in multi-player sportsâ€, Sport Management Review, Vol.16, No.1, (2013), pp.97-110.

      [10] D’urso MG & D Masi, “Multi Criteria Decision Making Methods And their applications for human resourcesâ€, The international Archives of the photogrammetry, Remote sensing and spatial information sciences, (2015).

      [11] Ayhan MB, “A Fuzzy AHP Approach for supplier selection problem-A case study in a Gear motor companyâ€, International journal of managing value and supply chains, Vol.4, No.3, (2013).

      [12] Kilincci O & Onal SA, “Fuzzy AHP approach for supplier selection in awashing machine companyâ€, Experts systems with applications, Vol.38, No.8, (2011), pp.9656-9664.

      [13] Singh R & Sharma SK, “Supplier selection: Fuzzy-AHP Approachâ€, International journal of Engineering Science and Technology, (2011).

      [14] Rajnishkumar, “Supplier selection criteria an overviewâ€, (2013).

      [15] Mwikali R & Kavale S, “Factors affecting the selection of optimal suppliers in procure managementâ€, International journal of Humanities and Social science, Vol.2, No.14, (2012), pp.189-193.

      [16] Patil SK and kanth R, “A fuzzy AHP-TOPSIS frame work for ranking the solutions of knowledge Management adoption in supply chain to overcome its barriersâ€, Expert systems with applications, Vol.41, (2014), pp.679-693.

      [17] Gold S & Awasthi A, “Sustainable global supplier selection extended towards sustainability risks from (1+n)th tier suppliers using fuzzy AHP based approachâ€, IFAC-Papers, (2015).

      [18] Tang YC & Lin TW, “Application of the fuzzy analytic hierarchy process to the lead-free equipment selection decisionâ€, Int. J. Business and Systems Research, Vol.5, No.1, (2011).

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  • How to Cite

    Sona, P., Johnson, T., & Vijayalakshmi, C. (2017). Design of a multi criteria decision model-fuzzy analytical hierarchy approach. International Journal of Engineering & Technology, 7(1.1), 116-120. https://doi.org/10.14419/ijet.v7i1.1.9209

    Received date: 2018-01-19

    Accepted date: 2018-01-19

    Published date: 2017-12-21