Optimal production and backordering policy in failure-prone manufacturing systems

被引:13
作者
Song, Dong-Ping [1 ]
机构
[1] Univ Plymouth, Sch Business, Int Shipping & Logist Grp, Plymouth PL4 8AA, Devon, England
关键词
backordering; failure-prone manufacturing system; production control; stationary distribution; threshold control;
D O I
10.1109/TAC.2006.872833
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 note considers a failure-prone manufacturing system producing one part-type in discrete mode. The problem is to find the optimal integrated production and backordering policy, in which control decisions include how much the production rate should take when the machine is up and whether an unmet demand should be backorder or rejected. The optimal policy is proved to be a threshold control and can be characterized by three threshold parameters for both discounted cost and long-run average cost cases. The structural relationships between three threshold parameters are established. It is found that the completely backordering policy may be optimal for the discounted cost but will never be optimal for the average cost. In addition, the explicit form of the stationary distribution under such threshold policy is derived, which is then be used to calculate interesting steady-state performance measures and seek the optimal threshold values. A numerical example illustrates the results.
引用
收藏
页码:906 / 911
页数:6
相关论文
共 50 条
[11]   Production control in a failure-prone manufacturing network using discrete event simulation and automated response surface methodology [J].
Seyed Mojtaba Sajadi ;
Mir Mehdi Seyed Esfahani ;
Kenneth Sörensen .
The International Journal of Advanced Manufacturing Technology, 2011, 53 :35-46
[12]   Production control in a failure-prone manufacturing network using discrete event simulation and automated response surface methodology [J].
Sajadi, Seyed Mojtaba ;
Esfahani, Mir Mehdi Seyed ;
Sorensen, Kenneth .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 53 (1-4) :35-46
[13]   Lockout/tagout and optimal production control policies in failure-prone non-homogenous transfer lines with passive redundancy [J].
Emami-Mehrgani, Behnam ;
Kenne, Jean-Pierre ;
Nadeau, Sylvie .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (04) :1006-1023
[14]   Performances evaluation and optimization of a failure-prone manufacturing system with random delivery time and random demand [J].
Sadok, Turki ;
Sophie, Hennequin ;
Nathalie, Sauer .
7TH INDUSTRIAL SIMULATION CONFERENCE 2009, 2009, :31-+
[15]   Perturbation analysis based-optimization for a failure-prone manufacturing system with constant delivery time and stochastic demand [J].
Sadok, Turki ;
Sophie, Hennequin ;
Nathalie, Sauer .
CIE: 2009 INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2009, :1740-+
[16]   Multi-objective optimization of stochastic failure-prone manufacturing system with consideration of energy consumption and job sequences [J].
Amelian, S. S. ;
Sajadi, S. M. ;
Navabakhsh, M. ;
Esmaelian, M. .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2019, 16 (07) :3389-3402
[17]   Multi-objective optimization of stochastic failure-prone manufacturing system with consideration of energy consumption and job sequences [J].
S. S. Amelian ;
S. M. Sajadi ;
M. Navabakhsh ;
M. Esmaelian .
International Journal of Environmental Science and Technology, 2019, 16 :3389-3402
[18]   Production and corrective maintenance planning problem of a failure prone manufacturing system [J].
Kenne, JP ;
Boukas, EK .
PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1997, :1013-1014
[19]   Optimal inventory-production control in discrete manufacturing systems [J].
Lyubchik, L ;
Malko, M ;
Mahfouz, MJ .
MANUFACTURING, MODELING, MANAGEMENT AND CONTROL, PROCEEDINGS, 2001, :199-204
[20]   Optimal production plan for a multi-products manufacturing system with production rate dependent failure rate [J].
Dahane, M. ;
Rezg, N. ;
Chelbi, A. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (13) :3517-3528