Impact of the use-based maintenance policy on the performance of cellular manufacturing systems

In this paper, a multi-objective integer programming approach is developed to investigate the impact of the use-based preventive maintenance (UPM) policy on the performance of the cellular manufacturing system (CMS). Under the UPM policy a maintenance schedule is established which provides for the p...

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Veröffentlicht in:International journal of production research Jg. 48; H. 8; S. 2233 - 2260
Hauptverfasser: Safaei, Nima, Banjevic, Dragan, Jardine, Andrew K.S.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis Group 01.01.2010
Taylor & Francis
Taylor & Francis LLC
Schlagworte:
Applied sciences
Cellular
cellular manufacturing system
Costs
Decision theory. Utility theory
Exact sciences and technology
Fuzzy
Fuzzy logic
Impact analysis
Industrial metrology. Testing
Integer programming
interactive fuzzy programming
Maintenance
Manufacturing cells
Materials handling
Mathematical analysis
Mathematical models
Mathematical programming
Mechanical engineering. Machine design
multi-machine production system
multi-objective optimisation
Operational research and scientific management
Operational research. Management science
Policies
Preventive maintenance
Reliability theory. Replacement problems
Scheduling
Studies
use-based preventive maintenance policy
Costs
Multiobjective programming
Modeling
Efficiency
Cellular manufacturing
Repair
use-based preventive maintenance policy
Availability
Production system
Lower bound
Interactive programming
Decision making
Materials handling
Rupture
Grouping
Fuzzy programming
Maintenance
cellular manufacturing system
Failures
Preventive maintenance
multi-objective optimisation
Fuzzy logic
Integer programming
Upper bound
multi-machine production system
interactive fuzzy programming
Objective function
ISSN:0020-7543, 1366-588X
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Zusammenfassung:In this paper, a multi-objective integer programming approach is developed to investigate the impact of the use-based preventive maintenance (UPM) policy on the performance of the cellular manufacturing system (CMS). Under the UPM policy a maintenance schedule is established which provides for the performance of preventive maintenance (PM) only after a predetermined number of operating hours of machine use. This research indicates how PM and failure repair (FR) actions affect the effective availability of the machines and accordingly the machine and inter/intra-cell material handling costs under the UPM policy. The objective is to minimise the machine cost, inter- and intra-cell material handling and PM/FR costs. The proposed model is solved by an interactive fuzzy programming (IFP) approach to determine the best compromise solution from the decision maker point of view. IFP assumes that each objective function has a fuzzy goal and focuses on minimising the worst upper bound to obtain an efficient solution which is close to the best lower bound of each objective function. Compromise solutions are prioritised by two efficiency criteria, i.e. grouping efficiency and system availability. The performance of the proposed model is verified by a comprehensive numerical example.
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ISSN:0020-7543
1366-588X
DOI:10.1080/00207540802710273