An extensive operations and maintenance planning problem with an efficient solution method

•A mixed integer program for operations and maintenance planning is introduced.•Multiple maintenance types, maintenance stations and operations are considered.•An exact solution algorithm for the problem is presented.•Computational experiments are presented for performance evaluation of the algorith...

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Vydané v:Computers & operations research Ročník 95; s. 151 - 162
Hlavní autori: Seif, Javad, Yu, Andrew J.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Elsevier Ltd 01.07.2018
Pergamon Press Inc
Predmet:
Availability
Computing time
Cutting planes
Exact solution algorithm
Integer programming
Machinery
Mixed integer programming
Operations and maintenance planning
Operations research
Optimization algorithms
Physical properties
Preventive maintenance
Schedules
Studies
Availability
Mixed integer programming
Operations and maintenance planning
Cutting planes
Exact solution algorithm
ISSN:0305-0548, 1873-765X, 0305-0548
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Popis
Shrnutí:•A mixed integer program for operations and maintenance planning is introduced.•Multiple maintenance types, maintenance stations and operations are considered.•An exact solution algorithm for the problem is presented.•Computational experiments are presented for performance evaluation of the algorithm.•The algorithm performs efficiently for very large instances of the problem. In this paper, we extend the formulation and solution algorithm of a Flight and Maintenance Planning (FMP) problem to cover a wider range of applications. We consider a general Operations and Maintenance Planning (OMP) case where machines are shared between multiple operation schedules as well as have multiple preventive maintenance activities. In this case, machines have different usage-based intervals and the maintenance duration varies for each machine. We formulate and optimize the OMP problem to accommodate the maintenance requirements and physical characteristics of multiple stations. We evaluate the performance of the generalized solution methodology and show its effectiveness and efficiency through computational experiments.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/j.cor.2018.03.010