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Assessing the impact of reducing demand variance through improved planning on the performance of a dual resource constrained job shop

 

作者: L. D. FREDENDALL,   S. A. MELNYK,  

 

期刊: International Journal of Production Research  (Taylor Available online 1995)
卷期: Volume 33, issue 6  

页码: 1521-1534

 

ISSN:0020-7543

 

年代: 1995

 

DOI:10.1080/00207549508930226

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

This paper examines the role that both the planning and shop floor control systems play in the operation and performance of a dual resource constrained (DRC) job shop. Using causal analysis, the results show an effective planning system, as it accounts for the largest gain in shop performance. Generating and releasing smoothed schedules (work loads) allows the use of simplified shop floor control procedures such as Order Review/Release (ORR), job dispatching and labour assignment rules without adversely affecting performance. This study uses the results to resolve the current paradox surrounding ORR systems and shows that the ORR rules' performance is strongly dependent on the planning system, and that ORR rules can be considered moderating variables. Further, the study develops a variance control framework that indicates the necessary managerial actions to improve shop performance. This paper demonstrates that the planning system, not the shop floor control system, is the major determinant of shop performance. By making improvements to the planning system, the shop can use simple ORR rules, job dispatching and labour assignment procedures to control the flow of work without adversely impacting shop performance. These findings will help guide managerial investments in planning and shop floor control systems.

 

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