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IIE Transactions Volume 32, 2000 - Issue 10
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ORIGINAL ARTICLES

Using aggregate estimation models for order acceptance in a decentralized production control structure for batch chemical manufacturing

WENNY H.M. RAAYMAKERS Department of Technology Management, Technische Universiteit Eindhoven, P.O. Box 513, Pav F16, Eindhoven, MB, 5600, The Netherlands E-mail: E-mail: [email protected]
,
J. WILL M. BERTRAND Department of Technology Management, Technische Universiteit Eindhoven, P.O. Box 513, Pav F16, Eindhoven, MB, 5600, The Netherlands E-mail: E-mail: [email protected]
&
JAN C. FRANSOO Department of Technology Management, Technische Universiteit Eindhoven, P.O. Box 513, Pav F16, Eindhoven, MB, 5600, The Netherlands E-mail: E-mail: [email protected]
Pages 989-998 | Received 01 Apr 1999, Accepted 01 Nov 1999, Published online: 31 May 2007

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Zhili Tian, Panos Kouvelis & Charles L. Munson. (2015) Understanding and managing product line complexity: Applying sensitivity analysis to a large-scale MILP model to price and schedule new customer orders. IIE Transactions 47:4, pages 307-328.
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Wen Yang & Richard Y.K. Fung. (2014) An available-to-promise decision support system for a multi-site make-to-order production system. International Journal of Production Research 52:14, pages 4253-4266.
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Adil Baykasoğlu & Mustafa Göçken. (2011) A simulation based approach to analyse the effects of job release on the performance of a multi-stage job-shop with processing flexibility. International Journal of Production Research 49:2, pages 585-610.
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Jose M. Framinan & Rainer Leisten. (2010) Available-to-promise (ATP) systems: a classification and framework for analysis. International Journal of Production Research 48:11, pages 3079-3103.
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V C Ivănescu, J W M Bertrand, J C Fransoo & J P C Kleijnen. (2006) Bootstrapping to solve the limited data problem in production control: an application in batch process industries. Journal of the Operational Research Society 57:1, pages 2-9.
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Articles from other publishers (9)

Sujan Piya. (2019) Mediator assisted simultaneous negotiations with multiple customers for order acceptance decision. Benchmarking: An International Journal 26:5, pages 1581-1604.
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Yiyong Xiao, Yingying Yuan, Ren-Qian Zhang & Abdullah Konak. (2015) Non-permutation flow shop scheduling with order acceptance and weighted tardiness. Applied Mathematics and Computation 270, pages 312-333.
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Yi-Yong Xiao, Ren-Qian Zhang, Qiu-Hong Zhao & Ikou Kaku. (2012) Permutation flow shop scheduling with order acceptance and weighted tardiness. Applied Mathematics and Computation 218:15, pages 7911-7926.
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Susan A. Slotnick. (2011) Order acceptance and scheduling: A taxonomy and review. European Journal of Operational Research 212:1, pages 1-11.
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Thomas Volling & Thomas S. Spengler. (2011) Modeling and simulation of order-driven planning policies in build-to-order automobile production. International Journal of Production Economics 131:1, pages 183-193.
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Facundo Arredondo & Ernesto Martinez. (2010) Learning and adaptation of a policy for dynamic order acceptance in make-to-order manufacturing. Computers & Industrial Engineering 58:1, pages 70-83.
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Walter O. Rom & Susan A. Slotnick. (2009) Order acceptance using genetic algorithms. Computers & Operations Research 36:6, pages 1758-1767.
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Susan A. Slotnick & Thomas E. Morton. (2007) Order acceptance with weighted tardiness. Computers & Operations Research 34:10, pages 3029-3042.
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Hong-Sen Yan, Xiao-Dong Zhang & Xu-Dong Ma. (2002) Karmarkar’s and interaction/prediction algorithms for hierarchical production planning for the highest business benefit. Computers in Industry 49:2, pages 141-155.
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