Evaluation and Selection of Supplier in A Supply Chain Management using DEA-TOPSIS Methods Under Intuitionistic Fuzzy Environment
M.V. Madhuri1, N. Ravi Shankar2

1Ms. M.V. Madhuri, Assistant Professor in Dept. of Mathematics, Dr L. Bullayya college of Engineering., Visakhapatnam
2Dr. N.Ravi Shankar, professor in Dept. of Applied Mathematics, GIS, GITAM (Deemed to be University), Visakhapatnam..

Manuscript received on 02 July 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 August 2019 | PP: 167-172 | Volume-8 Issue-10, August 2019 | Retrieval Number: H6557068819/2019©BEIESP | DOI: 10.35940/ijitee.H6557.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Selection of efficient supplier is essential in a Supply Chain Management. It increases product quality, reduces wastage and saves time. In recent past, many methods were used in supplier selection process. Selection of efficient supplier that suits the manufacturer criteria is needed. The proposed method comprises of two stages that integrates Data Envelopment Analysis (DEA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The efficiency of the given set of suppliers is evaluated using DEA method in the first stage that filters the given list of suppliers. While in the second stage, TOPSIS method is applied to select one of the efficient suppliers shortlisted in first stage. Integration of two methods reduces the selection time. Since the data provided and the criteria considered are vague and imprecise in nature, decision making is done in intuitionistic fuzzy environment. The proposed methodology is demonstrated with a numerical illustration. 
Keywords: Decision making; Data Envelopment Analysis; TOPSIS, Intuitionistic fuzzy numbers; Supply Chain Management.
Scope of the Article: Supply Chain Management