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Preventive maintenance at opportunities of restricted duration
Author(s) -
Dekker Rommert,
Smeitink Eric
Publication year - 1994
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/1520-6750(199404)41:3<335::aid-nav3220410304>3.0.co;2-m
Subject(s) - duration (music) , heuristics , computer science , preventive maintenance , set (abstract data type) , mathematical optimization , monte carlo method , block (permutation group theory) , operations research , reliability engineering , industrial engineering , mathematics , engineering , statistics , programming language , art , geometry , literature , operating system
This article deals with the problem of setting priorities for the execution of maintenance packages at randomly occurring opportunities. These opportunities are of restricted duration, implying that only a limited number of packages can be executed. The main idea proposed is to set up a model for determining the optimal execution time for the individual maintenance packages and to develop cost criteria for deviations from the optimal time. In this article we use the block replacement model, but the approach can be easily extended to include other optimization models as well. Using Monte Carlo simulation the performance of the method is compared with various heuristics, both for a two‐package and a multipackage case. © 1994 John Wiley & Sons, Inc.