Consideration of dynamic changes in machine reliability and part demand: a cellular manufacturing systems design model

Abstract

In a dynamic manufacturing and marketing environment, machine reliability is often subject to issues of usage and age, with areas like part demand experiencing frequent changes as well. It is vital, therefore, for a manufacturing cell design to consider and plan for such changes so that said design will continue to meet expectations in future applications. This study proposes a multi-objective, integer-programming (IP) model for designing a cellular manufacturing system (CMS) that will remain optimal for the entire multi-period planning horizon by considering dynamic changes in machine reliability and part demand over the periods. This model will allow for alternative part processing routes and select suitable machines along those routes – maximising machine system reliability and minimising system costs. This model also accounts for the purchase of new machine capacity when needed in an effort to design an optimal cell that remains suitable for the entire planning horizon. This study illustrates an -constraint solution procedure that will facilitate the user when selecting suitable solutions based on the importance they impart to the objectives.

Keywords:

• cellular manufacturing systems (CMS)
• dynamic change in machine reliability
• dynamic parts demand
• exponential distribution
• multi-objective multi-period model
• system cost and system reliability

Acknowledgement

The authors would like to express their gratitude to the University of Windsor and the Natural Sciences and Engineering Research Council (NSERC) for the financial support during the tenure of this research project.