Fuzzy Mathematical Programming Approaches to Design Cell Formation in Cellular Manufacturing Systems

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Authors

  • Fairleigh Dickinson University ,US
  • Kansas State University ,US
  • Kansas State University ,US

Keywords:

Fuzzy Mathematical Programming, Cell Formation, Cellular Manufacturing.
Set Theory

Abstract

Mathematical programming approaches based on fuzzy set theory are proposed for cell formation design in cellular manufacturing systems (CMS). The objective is to find part families and machine groups to minimize the fuzzy total production cost consisting of processing and maintenance costs subject to fuzzy machine time availability. Two cases are used to illustrate the applications. Results indicate that the cell formations obtained by the fuzzy approaches yield less total production costs compared to the non-fuzzy (crisp) approaches.

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Published

2010-12-17

How to Cite

Naadimuthu, G., Gultom, P., & Lee, E. S. (2010). Fuzzy Mathematical Programming Approaches to Design Cell Formation in Cellular Manufacturing Systems. DHARANA - Bhavan’s International Journal of Business, 4(2), 3–10. Retrieved from http://informaticsjournals.com/index.php/dbijb/article/view/18035

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Research Articles

 

References

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