dc.creatorRodrigues L.A.
dc.creatorGraells M.
dc.creatorCanton J.
dc.creatorGimeno L.
dc.creatorRodrigues M.T.M.
dc.creatorEspuna A.
dc.creatorPuigjaner L.
dc.date2000
dc.date2015-06-30T19:48:07Z
dc.date2015-11-26T14:46:23Z
dc.date2015-06-30T19:48:07Z
dc.date2015-11-26T14:46:23Z
dc.date.accessioned2018-03-28T21:56:04Z
dc.date.available2018-03-28T21:56:04Z
dc.identifier
dc.identifierComputers And Chemical Engineering. Elsevier Science Ltd, Exeter, United Kingdom, v. 24, n. 02/07/15, p. 353 - 359, 2000.
dc.identifier981354
dc.identifier10.1016/S0098-1354(00)00472-5
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-0034661115&partnerID=40&md5=8636ce2a69f8195037346c2b3138b9d5
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/106973
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/106973
dc.identifier2-s2.0-0034661115
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1252823
dc.descriptionThe problem considered is short term scheduling in multipurpose batch plants when the main objective is adherence to due dates. The solution approach contemplates a two-phase procedure. The planning phase consists of processing time-windows for all the necessary batches to meet the products' demand. This information is extensively uses in the scheduling phase. Three approaches are considered in the last phase, a MILP formulation using uniform discrete time representation; constrained based search (CBS) and simulated annealing (SA). And assessment is made of these techniques in heavily constrained problems and how these approaches deal with equipment units sharing and constraints imposed by material balances and storage conditions. The advantages of the two-phase approach are shown in each case with illustrative examples. (C) 2000 Elsevier Science Ltd.The problem considered is short term scheduling in multipurpose batch plants when the main objective is adherence to due dates. The solution approach contemplates a two-phase procedure. The planning phase consists of processing time-windows for all the necessary batches to meet the products' demand. This information is extensively uses in the scheduling phase. Three approaches are considered in the last phase, a MILP formulation using uniform discrete time representation; constrained based search (CBS) and simulated annealing (SA). And assessment is made of these techniques in heavily constrained problems and how these approaches deal with equipment units sharing and constraints imposed by material balances and storage conditions. The advantages of the two-phase approach are shown in each case with illustrative examples.
dc.description24
dc.description02/07/15
dc.description353
dc.description359
dc.descriptionGraells, M., Espuña, A., Puigjaner, L., Evolutionary identification of best schedules for optimum production planning (1996) Second International Conference on Computer Integrated Manufacturing in the Process Industries, pp. 456-471. , J. C. Fransoo, & W. G. M. M. Rutten, Eindhoven, Holland
dc.description(1997) Scheduler 4.0. User's Manual, , ILOG
dc.descriptionKeng, N.P., Yun, D.Y.Y., Rossi, M., Interaction sensitive planning system for job-shop scheduling (1988) Expert Systems and Intelligent Manufacturing, pp. 57-69. , M. D. Oliff, Amsterdam: Elsevier
dc.descriptionKondili, E., Pantelides, C.C., Sargent, R.W.H., A general algorithm for short term scheduling of batch operations - I. MILP formulation (1993) Computers & Chemical Engineering, 17 (2), pp. 211-227
dc.descriptionPapageorgiu, L.G., Pantelides, C.C., A hierarchical approach for campaign planning of multipurpose batch plants (1993) Computers & Chemical Engineering, 17 (2 SUPPL. ESCAPE), pp. 27-32
dc.descriptionSadeh, N., (1991) Look-ahead Techniques for Micro-opportunistic Job Shop Scheduling, , Ph D thesis, CMU-CS-91-102, School of Computer Science, Carnegie Mellon University
dc.languageen
dc.publisherElsevier Science Ltd, Exeter, United Kingdom
dc.relationComputers and Chemical Engineering
dc.rightsfechado
dc.sourceScopus
dc.titleUtilization Of Processing Time Windows To Enhance Planning And Scheduling In Short Term Multipurpose Batch Plants
dc.typeActas de congresos


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