OPTIMAL HYBRID PUSH-PULL CONTROL STRATEGIES FOR A PARALLEL MULTISTAGE SYSTEM .2.

被引：52

作者：

HODGSON, TJ

WANG, DW

机构：

[1] Department of Industrial Engineering, North Carolina State University, Raleigh, NC

[2] Department of Automatic Control, Northeast University of Technology, Shenyang

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1991年 / 29卷 / 07期

关键词：

D O I：

10.1080/00207549108948022

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The strategies developed in part I of this paper are extended to a more general case in part II. Based on the optimal policy structure of a Markov Decision Process model and by control and information structure analysis, we propose that the 'best' strategy for a general series/parallel multistage (assembly) production/inventory system is to use a push (MRP) strategy at all initial stages of the system and a pull (JIT) strategy at all the other downstream stages. As viewed from the information structure, this recommended strategy is a group of decentralized controllers with a centralized coordinator.

引用

页码：1453 / 1460

页数：8

共 13 条

[1]

Bellman R.E., Dynamic Programming, (1957)

[2]

Chapman S.N., Just-in-time inventory: An empirical implementation model, International Journal of Production Research, 27, pp. 1993-2007, (1989)

[3]

Deleersnyder J.L., Hodgson T.I., Muller H., Ogrady P.I., Kanban controlled pull systems: An analytic approach, Management Science, 35, pp. 1079-1091, (1989)

[4]

Deleersnyder J.L., Hodgson T.J., King R.E., Ogrady P.J., Integrating Kanban Type Pull Systems and MRP Type Push Systems: Insights from a Markovian Model, (1989)

[5]

Hodgson T.J., Wang D.W., Optimal hybrid push/pull control strategies for a parallel multistage system: Part I, International Journal of Production Research, 29, pp. 1279-1287, (1991)

[6]

Howard R.A., Dynamic Programming and Markov Processes, (1960)

[7]

Jamshidi M., Large-Scale Systems Modeling and Control, (1983)

[8]

Kimura O., Terada H., Design and analysis of pull system, a method of multistage production control, International Journal of Production Research, 19, pp. 241-253, (1981)

[9]

Luenberger D.G., Linear and Nonlinear Programming, (1983)

[10]

Sarker B.R., Fitzsimmons J.A., The performance of push and pull systems: A simulation and comparative study, International Journal of Production Research, 27, pp. 1715-1732, (1989)

← 1 2 →