General framework and modeling approach classification for chemical production scheduling
Despite the increased number of publications in the area during the last two decades, there is no unified notation and systematic framework for chemical production scheduling. In this article, we first develop a framework for the description of scheduling problems in the chemical industries. While b...
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| Published in | AIChE journal Vol. 58; no. 6; pp. 1812 - 1828 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.06.2012
Wiley American Institute of Chemical Engineers |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0001-1541 1547-5905 |
| DOI | 10.1002/aic.13801 |
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| Abstract | Despite the increased number of publications in the area during the last two decades, there is no unified notation and systematic framework for chemical production scheduling. In this article, we first develop a framework for the description of scheduling problems in the chemical industries. While building upon ideas used in discrete manufacturing, the proposed framework accounts for features such as material handling restrictions which are critical in chemical production scheduling. Second, we present a classification of the various modeling approaches that have been presented in the process systems engineering literature. Our classification is broader than previous schemes because it accounts for more attributes, and it also offers a broader discussion of the modeling of time. We believe that our analysis will enhance the understanding of chemical production scheduling and lead to further advances in the area. © 2012 American Institute of Chemical Engineers AIChE J, 58: 1812–1828, 2012 |
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| AbstractList | Despite the increased number of publications in the area during the last two decades, there is no unified notation and systematic framework for chemical production scheduling. In this article, we first develop a framework for the description of scheduling problems in the chemical industries. While building upon ideas used in discrete manufacturing, the proposed framework accounts for features such as material handling restrictions which are critical in chemical production scheduling. Second, we present a classification of the various modeling approaches that have been presented in the process systems engineering literature. Our classification is broader than previous schemes because it accounts for more attributes, and it also offers a broader discussion of the modeling of time. We believe that our analysis will enhance the understanding of chemical production scheduling and lead to further advances in the area. [PUBLICATIONABSTRACT] Despite the increased number of publications in the area during the last two decades, there is no unified notation and systematic framework for chemical production scheduling. In this article, we first develop a framework for the description of scheduling problems in the chemical industries. While building upon ideas used in discrete manufacturing, the proposed framework accounts for features such as material handling restrictions which are critical in chemical production scheduling. Second, we present a classification of the various modeling approaches that have been presented in the process systems engineering literature. Our classification is broader than previous schemes because it accounts for more attributes, and it also offers a broader discussion of the modeling of time. We believe that our analysis will enhance the understanding of chemical production scheduling and lead to further advances in the area. [PUBLICATION ABSTRACT] Despite the increased number of publications in the area during the last two decades, there is no unified notation and systematic framework for chemical production scheduling. In this article, we first develop a framework for the description of scheduling problems in the chemical industries. While building upon ideas used in discrete manufacturing, the proposed framework accounts for features such as material handling restrictions which are critical in chemical production scheduling. Second, we present a classification of the various modeling approaches that have been presented in the process systems engineering literature. Our classification is broader than previous schemes because it accounts for more attributes, and it also offers a broader discussion of the modeling of time. We believe that our analysis will enhance the understanding of chemical production scheduling and lead to further advances in the area. © 2012 American Institute of Chemical Engineers AIChE J, 58: 1812–1828, 2012 |
| Author | Maravelias, Christos T. |
| Author_xml | – sequence: 1 givenname: Christos T. surname: Maravelias fullname: Maravelias, Christos T. email: maravelias@wisc.edu organization: Dept. of Chemical and Biological Engineering, University of Wisconsin, Madison, 1415 Engineering Dr., Madison, WI 53706 |
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| Keywords | Chemical industry Buildings mixed-integer production environment Production Scheduling Manufacturing Modeling chemical production scheduling programming Handling |
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| SubjectTerms | Applied sciences Chemical engineering Chemical industries Chemical industry chemical production scheduling Classification Constrictions Economics. Management. Design assessment Exact sciences and technology Materials handling Mathematical models mixed-integer Process engineering production environment Production scheduling programming Restrictions Scheduling Systems engineering |
| Title | General framework and modeling approach classification for chemical production scheduling |
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