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dc.contributor.authorHuang, Weien_GB
dc.contributor.authorChung, Paul Wai Hingen_GB
dc.date.accessioned2013-03-26T12:22:27Z
dc.date.available2013-03-26T12:22:27Z
dc.date.issued2000
dc.identifier.citationHuang, W., Chung, P.W.H. (2000), 'Scheduling of pipeless batch plants using constraint satisfaction techniques', Computers & Chemical Engineering 24 (2-7):377-383en_GB
dc.identifier.issn0098-1354
dc.identifier.doi10.1016/S0098-1354(00)00483-X
dc.identifier.urihttp://hdl.handle.net/10547/276012
dc.description.abstractProcess industries need to be able to adapt to the fast changing market in order to meet consumer demands. Pipeless batch plants are being developed and implemented to improve flexibility to meet this requirement. However, their efficiency greatly depends on the generation of feasible production schedules. This paper proposes a general constraint model to solve this kind of scheduling problem for pipeless batch plants. In this model, constraints on resource allocation, activity precedence, time bound and safety issues are considered. A computer system, BPS, based on the constraint model and the search algorithm used in BPS are also presented. A case study is described to demonstrate the applicability of the proposed approach.
dc.language.isoenen
dc.publisherElsevieren_GB
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S009813540000483Xen_GB
dc.titleScheduling of pipeless batch plants using constraint satisfaction techniquesen
dc.typeArticleen
dc.contributor.departmentLoughborough Universityen_GB
dc.identifier.journalComputers & Chemical Engineeringen_GB
html.description.abstractProcess industries need to be able to adapt to the fast changing market in order to meet consumer demands. Pipeless batch plants are being developed and implemented to improve flexibility to meet this requirement. However, their efficiency greatly depends on the generation of feasible production schedules. This paper proposes a general constraint model to solve this kind of scheduling problem for pipeless batch plants. In this model, constraints on resource allocation, activity precedence, time bound and safety issues are considered. A computer system, BPS, based on the constraint model and the search algorithm used in BPS are also presented. A case study is described to demonstrate the applicability of the proposed approach.


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