Reliability consideration in the design and analysis of cellular manufacturing systems [An article from: International Journal of Production Economics] | ![Reliability consideration in the design and analysis of cellular manufacturing systems [An article from: International Journal of Production Economics]](http://ecx.images-amazon.com/images/I/51H0DAK3DML._SL160_.jpg)
 enlarge | Authors: K. Das, R.s. Lashkari, S. Sengupta
Publisher: Elsevier
Category: Book
Buy New: $10.95
Format: Html
Media: Digital
Publication Date: January 1, 2007
Availability: Available for download now
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Product Description
This digital document is a journal article from International Journal of Production Economics, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
A multi-objective mixed integer programming model of cellular manufacturing system (CMS) design is presented which minimizes the total system costs and maximizes the machine reliabilities along the selected processing routes. A part may be processed under different process plans, each prescribing a sequence of operations to be performed at various machines in a serial configuration. Thus, each process route is associated with a level of reliability corresponding to the machines in the selected process plan. The CMS design problem consists of assigning the machines to cells, and selecting, for each part type, the process route with the highest overall system reliability while minimizing the total costs of manufacturing operations, machine under-utilization, and inter-cell material handling. The proposed approach provides a flexible routing which ensures high overall performance of the CMS by minimizing the impact of machine failure through the provision of alternative process routes in case of any machine failure. The paper also proposes a performance evaluation criterion in terms of system availability for the parts and process plan assignments. Numerical examples are provided to demonstrate the applicability of the model.
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