Preventive Maintenance Scheduling by Mathematical Programming

Harvey M. Wagner, Richard J. Giglio and R. George Glaser
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Harvey M. Wagner: Stanford University
Richard J. Giglio: Stanford University
R. George Glaser: McKinsey & Company, Inc

Management Science, 1964, vol. 10, issue 2, 316-334

Abstract: This paper explores methods for scheduling preventive maintenance by means of mathematical programming. Five integer linear programming models are posed, each based on a different optimality criterion dealing with manpower smoothing. By means of two hypothetical examples the models are tested for their computational properties. In addition to describing the experimental results of applying integer linear programming techniques to this class of problems, the paper also illustrates how effectively rounded linear programming solutions can be used as approximations to optimal solutions.

Date: 1964
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:10:y:1964:i:2:p:316-334

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