Title: Modelling and analysis of enablers for successful implementation of cellular manufacturing system
Authors: Ankur Sharma; Rajiv Kumar Sharma
Addresses: Department of Mechanical Engineering, National Institute of Technology, Hamirpur – 177005, Himachal Pradesh, India ' Department of Mechanical Engineering, National Institute of Technology, Hamirpur – 177005, Himachal Pradesh, India
Abstract: The primary objective of this paper is to develop a model for the enablers supporting the implementation of cellular manufacturing systems with the help of interpretive structural modelling methodology. These enablers were dissected through literature review and expert's opinion. The questionnaire-based review has been accomplished for the ranking of these enablers. The MICMAC analysis has been performed to interpret the mutual dependencies of 'driving enablers' (i.e., which help to accomplish other enablers) and 'dependent enablers' (i.e., which are accomplished by driving enablers). From the outcomes, it has been observed that improved production process stability and capability, increased automation, and improved worker skill flexibility forms lowest level in the ISM hierarchy. These enablers have high driving power and low dependence power. So, these enablers may be treated as the 'key enablers'. These key enablers would avail the management in contributing appropriate supervision and guidance during the successful implementation of cellular manufacturing system.
Keywords: group technology; cellular manufacturing system; CMS; interpretive structural modelling; MICMAC; enablers.
International Journal of Process Management and Benchmarking, 2018 Vol.8 No.1, pp.103 - 123
Available online: 22 Nov 2017 *Full-text access for editors Access for subscribers Free access Comment on this article