Selection of Outsourcing Relationship for a Maintenance System Using Fuzzy Axiomatic Design Principles and Fuzzy VIKOR

doi: 10.14456/mijet.2022.1

Authors

  • Desmond Eseoghene Ighravwe Department of Mechanical and Biomedical Engineering, Bells University of Technology, Ota, Nigeria
  • Sunday Ayoola Oke University of Lagos

Keywords:

Fuzzy axiomatic design principles, fuzzy VIKOR, maintenance vendor, manufacturing system, fuzzy logic

Abstract

Maintenance outsourcing potentially saves cost, improves efficiency and enhances the company's competitive advantage. Yet in the instant food industry, the practice is difficult to implement with high failures of outsourcing relationships. To fill this research gap, this paper proposed a fuzzy axiomatic design (FAD) method coupled with fuzzy VIKOR (Vlse Kriterijumska Optimizacija I Kompromisno Resenje) to track uncertainty and imprecision to select external service providers in outsourcing relationships. The VIKOR method is coupled to the FAD method at the introduction of fuzzy triangular members based on the selection pillar indices of cost, equipment, vendor, production and human aspects. Four relationships are defined, namely support, alignment, reliance and alliance while the selection indices were measured against them. By weights, the model evaluated the relationships as consisting of support (20.25%), alignment (25.15%), reliance (25.19%) and alliance (29.41%). The VIKOR indices for the relationships are support (0.0141), alignment (0.0431), reliance (1.000) and alliance (0.9849). The conclusion was that alliance outsourcing was the least desired outsourcing relationship for the system.

Author Biography

Desmond Eseoghene Ighravwe, Department of Mechanical and Biomedical Engineering, Bells University of Technology, Ota, Nigeria

He is a lecturer

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Published

2021-07-14

How to Cite

Ighravwe, D. E., & Oke, S. A. (2021). Selection of Outsourcing Relationship for a Maintenance System Using Fuzzy Axiomatic Design Principles and Fuzzy VIKOR: doi: 10.14456/mijet.2022.1. Engineering Access, 8(1), 1–14. Retrieved from https://ph02.tci-thaijo.org/index.php/mijet/article/view/243406

Issue

Vol. 8 No. 1 (2022): January - June

Section

Research Papers

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