A mixed-integer programming model for integrated production and maintenance

被引：18
|
作者：
Hnaien, F. [1 ]
Yalaoui, F. [1 ]
Mhadhbi, A. [2 ]
Nourelfath, M. [3 ]
机构：
[1] Univ Technol Troyes, ICD LOSI, UMR CNRS 6281, 12 Rue Marie Curie, F-10010 Troyes, France
[2] Finaxys, 27 Rue Poissonniers, F-92200 Neuilly Sur Seine, France
[3] Univ Laval, Dept Mech Engn, Interuniv Res Ctr Enterprise Networks Logist & Tr, Quebec City, PQ G1V 0A6, Canada
来源：
IFAC PAPERSONLINE | 2016年 / 49卷 / 12期
关键词：
capacitated lot-sizing problem; production planning; preventive maintenance; minimal repair; Mixed-integer linear programming; PREVENTIVE MAINTENANCE;
D O I：
10.1016/j.ifacol.2016.07.694
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the production planning and preventive maintenance scheduling on a single machine multi-product capacitated lot-sizing problem (CLSP). The machine is assumed to be subject to random failures. Preventive maintenances at the beginning of each production period to reduce the risk of failure and minimal repairs at failure is considered. The aim is to minimize the sum of the total production and maintenance costs related to inventory, backorder, production, set-up, preventive maintenance (PM), and minimal repair (MR) under demand satisfaction and machine capacities constraints over the entire horizon. Using the Weibull model, we present a mixed-integer linear programming (MIP) model to solve the problem. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：556 / 561
页数：6
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