Synergistic suitability of transfusion of TQM-TPM for Indian manufacturing industries using fuzzy-based model simulation
Kanwarpreet Singh and
Inderpreet Singh Ahuja
International Journal of Business Continuity and Risk Management, 2013, vol. 4, issue 1, 36-53
Abstract:
Total quality management (TQM) and total productive maintenance (TPM), are popular initiatives employed by organisations as performance improvement techniques for attaining customer satisfaction, reliability, productivity, market share, profitability and even survival. Now a day's all manufacturers are trying to implement new methods, i.e., multi criteria decision making (MCDM) like analytical hierarchy process (AHP), piecewise-affine (PWA), a fuzzy-based (FB) model, etc., along with TQM-TPM drives for effective production process. In this paper, an attempt has been made to show the synergistic suitability of transfusion of TQM-TPM for Indian manufacturing industries. For the study, the most relevant factors affecting these drives like quality, cost and maintenance has been considered and further these factors has been simulated by the data given by experts in this fields using fuzzy logic toolbox of MATLAB which provides the steps for designing fuzzy inference systems using graphical tools, and a Simulink block for analysing, designing, and simulating systems based on fuzzy logic.
Keywords: total quality management; TQM; total productive maintenance; TPM; multicriteria decision making; MCDM; fuzzy modelling; fuzzy logic; fuzzy inference systems; India; simulation; India; manufacturing industry. (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=53092 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbcrm:v:4:y:2013:i:1:p:36-53
Access Statistics for this article
More articles in International Journal of Business Continuity and Risk Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().