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A modern local search method for operations scheduling of dehydration plants

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dc.contributor.author Tarantilis, CD en
dc.contributor.author Kiranoudis, CT en
dc.date.accessioned 2014-03-01T01:17:22Z
dc.date.available 2014-03-01T01:17:22Z
dc.date.issued 2002 en
dc.identifier.issn 0260-8774 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/14487
dc.subject adaptive thresholding en
dc.subject Case Study en
dc.subject Job Shop Scheduling en
dc.subject Manufacturing System en
dc.subject Production Planning en
dc.subject Production Process en
dc.subject Raw Materials en
dc.subject Threshold Accepting en
dc.subject Job Shop Scheduling Problem en
dc.subject Local Search en
dc.subject.classification Engineering, Chemical en
dc.subject.classification Food Science & Technology en
dc.subject.other Algorithms en
dc.subject.other Dehydration en
dc.subject.other Drying en
dc.subject.other Food products plants en
dc.subject.other Production engineering en
dc.subject.other Scheduling en
dc.subject.other Food engineering en
dc.subject.other Food processing en
dc.title A modern local search method for operations scheduling of dehydration plants en
heal.type journalArticle en
heal.identifier.primary 10.1016/S0260-8774(01)00080-2 en
heal.identifier.secondary http://dx.doi.org/10.1016/S0260-8774(01)00080-2 en
heal.language English en
heal.publicationDate 2002 en
heal.abstract Drying operations constitute an important field of food engineering, which is still governed by empiricism. The utilisation of different raw materials to be processed sequentially so that demand constraints are met, broadly characterise dehydration plants as multi-product. Processing of raw materials is implemented through a series of pre-processing operations that together with drying constitute the production procedure of a pre-specified campaign. The basic component of the manufacturing system that a typical dehydration plant involves, is scheduling of operations so that demand is fulfilled within a pre-described time horizon imposed by production planning. The typical scheduling operation that dehydration plants involve, can be formulated as a general job shop scheduling problem. The aim of this study is to describe a new metaheuristic method for solving the job shop scheduling problem of dehydration plants, termed as backtracking adaptive threshold accepting (BATA) method. Our effort focuses on developing an innovative method, which produces reliable and good solutions, requiring reasonable computing effort. The main innovation of the method, towards a typical threshold accepting algorithm, is that the value of the threshold is not only lowered, but also raised or backtracked according to how effective a local search is. BATA is described in detail while its performance and characteristic job shop scheduling case studies for dehydration plant operations are presented. (C) 2002 Elsevier Science Ltd. All rights reserved. en
heal.publisher ELSEVIER SCI LTD en
heal.journalName Journal of Food Engineering en
dc.identifier.doi 10.1016/S0260-8774(01)00080-2 en
dc.identifier.isi ISI:000174129300003 en
dc.identifier.volume 52 en
dc.identifier.issue 1 en
dc.identifier.spage 17 en
dc.identifier.epage 23 en


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