Control of production and corrective maintenance rates in a multiple-machine, multiple-product manufacturing

被引:0
|
作者
Kenne, JP
机构
[1] Univ Quebec, Ecole Technol Super, Dept Engn Mech, Montreal, PQ H3C 1K3, Canada
[2] Ecole Polytech, Dept Mech Engn, Montreal, PQ H3C 3A7, Canada
[3] Univ Quebec, Ecole Technol Super, Automated Prod Engn Dept, Montreal, PQ H3C 1K3, Canada
关键词
production control; corrective maintenance; numerical methods; flexible manufacturing systems;
D O I
10.1016/S0895-7177(03)90093-8
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents the analysis of the optimal production control and corrective maintenance planning problem for a failure prone manufacturing system consisting of several identical machines. Machines are subject to breakdowns and repairs and can produce several parts of products. At any given time, each machine can only produce one type of product. The introduction of the corrective maintenance will increase the availability of the production system which guarantees the improvement of the system's productivity if the production planning is well done. The decision variables are the production and the machine repair rates which influence the inventory levels and the system capacity, respectively. The objective of the work is to minimize the cost of surplus and repair activities. A computational algorithm, based on numerical methods, is given for solving the optimal control problem. Finally, a numerical example is presented to illustrate the usefulness of the proposed approach and extensions to more complex manufacturing systems are discussed. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:351 / 365
页数:15
相关论文
共 50 条
  • [31] Multiple-machine lower bounds for shop-scheduling problems
    Sourd, F
    Nuijten, W
    [J]. INFORMS JOURNAL ON COMPUTING, 2000, 12 (04) : 341 - 352
  • [32] Genetic algorithms for the multiple-machine economic lot scheduling problem
    Sun, Hainan
    Huang, Huei-Chuen
    Jaruphongsa, Wikrom
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 43 (11-12): : 1251 - 1260
  • [33] Optimal Control of Production and Maintenance Operations in Smart Custom Manufacturing Systems with Multiple Machines
    Gupta, Elluri Vignan
    Mogale, D. G.
    Tiwari, Manoj Kumar
    [J]. IFAC PAPERSONLINE, 2019, 52 (13): : 241 - 246
  • [34] Selective Transmission of Control Information Based on Channel Periodicity in PLC-based Multiple-machine Control
    Sawada, Shun
    Kobayashi, Kentaro
    Okada, Hiraku
    Katayama, Masaaki
    [J]. 2017 IEEE INTERNATIONAL SYMPOSIUM ON POWER LINE COMMUNICATIONS AND ITS APPLICATIONS (ISPLC), 2017,
  • [35] Determining the capacity and its level of utilization in make-to-order manufacturing: A simple deterministic model for single-machine multiple-product case
    Kumru, Mesut
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2011, 30 (02) : 63 - 69
  • [36] Probing the future: Mobilising foresight in multiple-product innovation firms
    Andriopoulos, C
    Gotsi, M
    [J]. FUTURES, 2006, 38 (01) : 50 - 66
  • [37] SHORT-RUN, MULTIPLE-PRODUCT BRAZING AND SOLDERING MACHINES
    NAPOR, CA
    FORBES, AG
    [J]. WELDING JOURNAL, 1984, 63 (10) : 23 - 25
  • [38] Genetic algorithms for the multiple-machine economic lot scheduling problem
    Hainan Sun
    Huei-Chuen Huang
    Wikrom Jaruphongsa
    [J]. The International Journal of Advanced Manufacturing Technology, 2009, 43 : 1251 - 1260
  • [39] Demand allocation in multiple-product, multiple-facility, make-to-stock systems
    Benjaafar, S
    Elhafsi, M
    de Véricourt, F
    [J]. MANAGEMENT SCIENCE, 2004, 50 (10) : 1431 - 1448
  • [40] Multiple-machine scheduling with earliness, tardiness and completion time penalties
    Biskup, D
    Cheng, TCE
    [J]. COMPUTERS & OPERATIONS RESEARCH, 1999, 26 (01) : 45 - 57