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Integrating Machine Reliability and Preventive Maintenance Planning in Manufacturing Cell Design  

Das, Kanchan (East Carolina University)
Lashkari, R.S. (University of Windsor)
Sengupta, S. (Oakland University)
Publication Information
Industrial Engineering and Management Systems / v.7, no.2, 2008 , pp. 113-125 More about this Journal
Abstract
This paper presents a model for designing cellular manufacturing systems (CMS) by integrating system cost, machine reliability, and preventive maintenance (PM) planning. In a CMS, a part is processed using alternative process routes, each consisting of a sequence of visits to machines. Thus, a level of 'system reliability' is associated with the machines along the process route assigned to a part type. Assuming machine reliabilities to follow the Weibull distribution, the model assigns the machines to cells, and selects, for each part type, a process route which maximizes the overall system reliability and minimizes the total costs of manufacturing operations, machine underutilization, and inter-cell material handling. The model also incorporates a reliability based PM plan and an algorithm to implement the plan. The algorithm determines effective PM intervals for the CMS machines based on a group maintenance policy and thus minimizes the maintenance costs subject to acceptable machine reliability thresholds. The model is a large mixed integer linear program, and is solved using LINGO. The results point out that integrating PM in the CMS design improves the overall system reliability markedly, and reduces the total costs significantly.
Keywords
CMS Design; Machine Reliability; Maintenance Planning; Integer Programming;
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