Abstract
Article history: Received March 14, 2014 Accepted August 10, 2014 Available online August 14 2014 Maintenance Quality Function Deployment (MQFD) is a model, which enhances the synergic power of Quality Function Deployment (QFD) and Total Productive Maintenance (TPM). One of the crucial and important steps during the implementation of MQFD is the determination of the importance or weightages of the critical factors (CF) and sub factors (SF). The CFs and SFs have to be compared precisely for the successful implementation of MQFD. The crisp pair-wise comparison in the conventional Analytical Hierarchy Process (AHP) may be insufficient to determine the degree of weightage of CFs and SFs where vagueness and uncetainties are associated. In this paper, a modification of AHP based MQFD by incorporating fuzzy operations is proposed, which can improve the accuracy of determination of the weightages. A case study showing the applicability of this method is illustrated in this paper. © 2015 Growing Science Ltd. All rights reserved.
Highlights
Lot of changes have taken place in the business scenario after the second world war.Organisations started adopting various models and better methodologies to excel in the competition
The results obtained by the Fuzzy-Analytical Hierarchy Process (AHP) Maintenance Quality Function Deployment (MQFD) model are tabulated in Table 5 and Table 6
The results showed that there is significant difference in the values of weightages and rank orders obtained by the two methods namely, AHP - MQFD and Fuzzy AHP - MQFD methods
Summary
Lot of changes have taken place in the business scenario after the second world war.Organisations started adopting various models and better methodologies to excel in the competition. In the mid twentieth century, the field of maintenance quality engineering emerged (Decker 1996) This field developed by adopting new approaches(Chan et al, 2005) and in 1970’s a new framework was evolved called Total Productive Maintenance (TPM). Pramod et al (2006) proposed a model called Maintenance Quality Function Deployment (MQFD) to have a synergic gain in maintenance quality by linking TPM with QFD. This model has been validated in different practical scenarios (Pramod et al, 2006, 2007b, 2008). Based on the above considerations, a fuzzy based AHP-MQFD is proposed in this paper This model aims to evaluate the importance ratings (weightages) of CFs and SFs in MQFD.
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