Ranking of MUDA using AHP and Fuzzy AHP algorithm

An analytical approach to the lean waste reduction and classification may have a significant influence on Industrial environment. In order to reduce the lean waste and to find the suitable solutions, waste identification is needed. Analytical Hierarchy Process (AHP) is the one of the way to segregate among the seven types of waste. But Fuzzy AHP is a synthetic extension of classical AHP method when the fuzziness of the decision maker is considered. In this paper analysis of AHP and Fuzzy AHP for the lean waste identification model has been presented. To accredit the proposed model a questionnaire is circulated to 30 number of companies in an international exhibition IMTEX 2015 conducted at Bangalore in India. Mostly multinational companies have participated in the international exhibition in which majority of the respondents belong to automobile industries. Initially AHP is used for determination of weights of lean waste but Fuzzy AHP is better choice to prioritize weights of the various types of lean waste.Both AHP and Fuzzy AHP results are analyzed and compared based on the results. Identification and elimination of the major lean waste leads to productivity improvement. (C) 2017 Elsevier Ltd. All rights reserved. Selection and/or Peer-review under responsibility of International Conference on Materials Manufacturing and Modelling (ICMMM - 2017).