Disjunctive and time-indexed formulations for non-preemptive job shop scheduling with resource availability constraints

被引:10
|
作者
Azem, S. [1 ,2 ]
Aggoune, R. [2 ]
Dauzere-Peres, S. [1 ]
机构
[1] Ecole Natl Super Mines, CMP Georges Charpak, Gardanne, France
[2] Univ Luxembour, Fac Sci Technol & Commun, Luxembourg, Luxembourg
来源
2007 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-4 | 2007年
基金
中国国家自然科学基金;
关键词
availability constraints; combinatorial optimization; machine availability; mixed Integer and; linear programming; production scheduling; shop-floor scheduling;
D O I
10.1109/IEEM.2007.4419298
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In many real industrial situations machines may be non-available for processing jobs for instance when a machine breaks down or when a preventive maintenance activity is scheduled. This paper deals with the job shop scheduling problem when machines are not continuously available and this for better modeling of the industry reality. We assume that no preemption is allowed and we introduce flexibility on machine unavailability periods by assuming that these latter are planned in time windows. This flexibility is relevant when scheduling preventive machine maintenance. Two mathematical models are presented and compared. The first one is based on the disjunctive graph and the second one is time-indexed. Numerical experiments on generated benchmarks were performed with ILOG CPLEX 10.
引用
收藏
页码:787 / +
页数:2
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