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
[31]   Scheduling and control of failure prone systems with demand uncertainty and job overlaps [J].
Jun Liu ;
Ping Li ;
Zhihuan Song .
Journal of Control Theory and Applications, 2004, 2 (4) :345-352
[32]   Scheduling and control of failure prone systems with demand uncertainty and job overlaps [J].
Jun LIU Ping LI Zhihuan SONG Institute of Industrial Process Control Zhejiang University Hangzhou Zhejiang China School of Mechanical Electonical Engineering Lanzhou University of Technology Lanzhou Gansu China .
Journal of Control Theory and Applications, 2004, (04) :345-352
[33]   Optimal finite-horizon production control in a defect-prone environment [J].
Kogan, K ;
Shu, C ;
Perkins, JR .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2004, 49 (10) :1795-1800
[34]   Production management systems -: The potential of central control systems in manufacturing [J].
Adams, M ;
Nagel, R ;
Müller, P .
2004 2ND IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS: COLLABORATIVE AUTOMATION - ONE KEY FOR INTELLIGENT INDUSTRIAL ENVIRONMENTS, 2004, :436-440
[35]   A Novel Optimal Online Scheduling Scheme for Flexible Manufacturing Systems [J].
Wenzelburger, Philipp ;
Allgoewer, Frank .
IFAC PAPERSONLINE, 2019, 52 (10) :1-6
[36]   Manufacturing systems for the production of seamless-rolled rings [J].
Szabo, ZJ ;
Dittrich, E .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1996, 60 (1-4) :67-72
[37]   Simulation Analysis of Production Control Methods in Manufacturing Systems [J].
Feng, Shaowei ;
Zhang, Jing ;
Ding, Shaochun .
MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 :1704-1708
[38]   Joint design of quality and production control in manufacturing systems [J].
Colledani, M. ;
Tolio, T. .
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, 2011, 4 (03) :281-289
[39]   Dynamic Production Planning in Unreliable Reconfigurable Manufacturing Systems [J].
Dammak, Houcine ;
Hajji, Adnene ;
El Fath, Mustapha Nour .
PROCEEDINGS OF 2014 2ND IEEE INTERNATIONAL CONFERENCE ON LOGISTICS AND OPERATIONS MANAGEMENT (GOL 2014), 2014, :98-106
[40]   Production and changeover control policies of a class of failure prone buffered flow-shops [J].
Hajji, Adnene ;
Gharbi, Ali ;
Kenne, Jean-Pierre ;
Hidehiko, Yamamoto .
PRODUCTION PLANNING & CONTROL, 2009, 20 (08) :785-800