Evaluation of Continuous Improvement Techniques using Hybrid MCDM Technique under Fuzzy Environment

Abstract

Abstract In this paper, an attempt is made to evaluate the continuous improvement techniques using hybrid MCDM techniques under fuzzy environment. The objective of the paper is to demonstrate the selection of best continuous improvement technique using Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) and VIKOR. Lean Continuous, 5S, Kaizen, Poka-Yoke, Jidoka (Automation), and Kanban (Pull System) are considered as six alternative continuous improvement techniques. Number of Defects, Level of waste elimination, Cost, effective use of resources, Lead time between order and product delivery, and Quality of product are considered as six main evaluation criteria. Under each main criterion, two sub criteria are considered. The weights of priority of main criteria as well as the sub-criteria are computed using Fuzzy-AHP whereas the evaluation ratings/ weights of priority of alternatives with respect to each sub criteria are determined using Fuzzy-VIKOR. Finally, by using the weights of priority of main criteria and the alternatives’ evaluation ratings, the overall priority weights of alternatives are determined. Based on these overall priority weights, the alternatives are ranked. From the findings of the research, it is concluded that the results are more practical and realistic.