Agile Supplier Evaluation Using Hierarchical TOPSIS Method

Increased competitiveness of the market enforces companies to respond quickly and appropriately to sudden changes in the market in order to adapt to continuously updated conditions of business environment and keep their survivals. Agility concept rises at this level due to necessity of coping with unpredictable changes and uncertainty. Agility enables the firms responsiveness in a quick and an effective way to the set of interdependent changes required in design, production, marketing and organization of the companies. This study addresses agile supplier selection problem. Hierarchical fuzzy technique for order preference by similarity to ideal solution approach (TOPSIS) is proposed for agile supplier selection problem in an airline company. Key-Words: Agility, Decision support system, Hierarchical TOPSIS, Multi-criteria decision making, Supply chain management, Supplier selection. Received: February 20, 2021. Revised: April 6, 2021. Accepted: April 12, 2021. Published: April 19, 2021.

[1]  Cengiz Kahraman,et al.  Multi Attribute Performance Evaluation Using a Hierarchical Fuzzy TOPSIS Method , 2006 .

[2]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[3]  Clyde W. Holsapple,et al.  A unified model of supply chain agility : the work-design perspective , 2008 .

[4]  I. Chen,et al.  Towards a theory of supply chain management: the constructs and measurements , 2004 .

[5]  Ching-Lai Hwang,et al.  Methods for Multiple Attribute Decision Making , 1981 .

[6]  Siegfried Gottwald,et al.  Fuzzy Sets and Fuzzy Logic , 1993 .

[7]  Darryl D. Wilson,et al.  Supply management orientation and supplier/buyer performance , 2000 .

[8]  Chen-Tung Chen,et al.  A fuzzy approach for supplier evaluation and selection in supply chain management , 2006 .

[9]  Hossein Sharifi,et al.  Supply Chain Design and Design for Supply Chain: A balanced approach to building agile supply chains , 2006 .

[10]  H. Zimmermann,et al.  Fuzzy Set Theory and Its Applications , 1993 .

[11]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[12]  Z. Irani,et al.  Working towards agile manufacturing in the UK industry , 1999 .

[13]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[14]  L. A. ZADEH,et al.  The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..