The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy process (AHP) and analytic network process (ANP) methods.
Based on literature review, 4 enabler dimensions and 17 CM factors were identified which were validated by experts from academia and industry. Then, AHP and ANP models are proposed in evaluating CMS implementation dimensions and factors. The results are validated using sensitivity analysis.
These models give firms a straightforward and simple to utilize way to deal with CMS efficiently. The two strategies were appeared to be powerful in choosing a strategy for CMS implementation. The two strategies brought about nearly similar outcomes. Both methods consider the particular necessities of the organization through its own accessible ability.
The techniques exhibited in this paper can be utilized by a wide range of organizations for adopting CMS that have a higher impact on performance and thus overall productivity. The two techniques are explained in a step-by-step approach for easier adoption by practitioners.
The strength of the present study is that it is one of the first few to be conducted in perspective for CM implementation factors analysis.
Sharma, V., Gidwani, B.D., Sharma, V. and Meena, M.L. (2019), "Implementation model for cellular manufacturing system using AHP and ANP approach", Benchmarking: An International Journal, Vol. 26 No. 5, pp. 1605-1630. https://doi.org/10.1108/BIJ-08-2018-0253Download as .RIS
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