Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

IInternational Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

ISSN : 2456-1290 (Online)

Selection of Reconfigurable Assembly System Strategy using Fuzzy-TOPSIS

Author : L.N. Pattanaik 1 Abinash Jena 2

Date of Publication :12th April 2017

Abstract: In present time, the market fluctuates in terms of demand and variety of the products produced from a manufacturing industry and that have been increased a lot due to the emerging competition in the global market. Therefore, the prime need for the manufacturing industry is developing the capability of producing a large variety of products along with maintaining the fluctuating demand as per the requirement of customers. Hence, a new paradigm of assembling system should be implemented in the existing systems of industries to withstand the issues related to varieties and demands. This paradigm is Reconfigurable Assembly Systems (RAS), which can reconfigure assembling systems quickly to change the quantities of products to be assembled along with the variety of products that are to be assembled within a product family. This paper is based on a case study on an industrial assembling system, where a complex multicriteria decision-making problem was structured in order to find an ideal alternative solution based on RAS strategy. Several criteria and feasible alternatives related to RAS strategies were selected with the help of the decision makers from various departments of that Industry. The linguistic ratings of each criterion for the alternatives were collected from the decision makers based on a long-term planning horizon of the industry in the case study. This conflicting multi-criteria decision making (MCDM) problem was solved using TOPSIS method in a fuzzy environment to select the best alternative for the existing assembling system.

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