Supplier Selection in a Manufacturing Industry Using AHP, Fuzzy and Neural Network: A Study Using Multi Criteria Decision Making Methods

R. Muruganandham, V. Sakthirama, A. Mohammad Raheel Basha, S. Syath Abuthakeer and S.D. Sivakumar

Supplier selection is one of the important and challenging task for manufacturing industry. Since by deciding the best supplier, companies can increase productivity and also increase competitive advantage. In addition, selecting the best supplier significantly reduces purchasing costs, increases revenue and profitability of the manufacturing industry. Since this selection process mainly involves the evaluation of different criteria such as lead time, logistics, fuel rate etc. and various supplier attributes it can be considered as a Multi Criteria Decision Making (MCDM) problem. Also multiple criteria decision making is the method allocating with the ranking and selection of one or more vendors from a list of providers. The MCDM provides an effective framework for vendor comparison based on the evaluation of multiple conflict criteria This paper presents a case study in a manufacturing industry using Neural Networks, Analytical Hierarchy Process and Fuzzy Logic to rank and assess the vendor performance.

Volume 12 | 05-Special Issue

Pages: 489-497

DOI: 10.5373/JARDCS/V12SP5/20201784