Optimal control of make-to-order manufacturing systems via selected order acceptance
Pages 2003 - 2011
Abstract
Capacity constrained make-to-order manufacturing systems with exogenously set due dates and heavy tardiness penalties can be effectively managed by selective acceptance of orders, especially when the system encounters heavy congestion. This is demonstrated using a popular order acceptance rule. How this rule can optimally control a manufacturing system under different environments and how the main performance measures of the manufacturing system are affected in doing so, are demonstrated and analyzed. The study is done on a simulated hypothetical manufacturing system used as a testbed.
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- Optimal control of make-to-order manufacturing systems via selected order acceptance
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Information & Contributors
Information
Published In
December 2006
2429 pages
ISBN:1424405017
- Editors:
- L. Felipe Perrone,
- Barry G. Lawson,
- Jason Liu,
- Frederick P. Wieland,
- General Chair:
- David Nicol,
- Program Chair:
- Richard Fujimoto
Sponsors
- IIE: Institute of Industrial Engineers
- ASA: American Statistical Association
- IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
- IEEE-CS\DATC: The IEEE Computer Society
- SIGSIM: ACM Special Interest Group on Simulation and Modeling
- NIST: National Institute of Standards and Technology
- (SCS): The Society for Modeling and Simulation International
- INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation
Publisher
Winter Simulation Conference
Publication History
Published: 03 December 2006
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- IIE
- ASA
- IEICE ESS
- IEEE-CS\DATC
- SIGSIM
- NIST
- (SCS)
- INFORMS-CS
Acceptance Rates
WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%
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