Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cie.2013.07.006
DC FieldValue
dc.titleFast reactive scheduling to minimize tardiness penalty and energy cost under power consumption uncertainties
dc.contributor.authorLe, C.V.
dc.contributor.authorPang, C.K.
dc.date.accessioned2014-06-17T02:49:46Z
dc.date.available2014-06-17T02:49:46Z
dc.date.issued2013
dc.identifier.citationLe, C.V., Pang, C.K. (2013). Fast reactive scheduling to minimize tardiness penalty and energy cost under power consumption uncertainties. Computers and Industrial Engineering 66 (2) : 406-417. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cie.2013.07.006
dc.identifier.issn03608352
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56017
dc.description.abstractMotivated by the need to deal with uncertainties in energy optimization of flexible manufacturing systems, this paper considers a dynamic scheduling problem which minimizes the sum of energy cost and tardiness penalty under power consumption uncertainties. An integrated control and scheduling framework is proposed including two modules, namely, an augmented discrete event control (ADEC) and a max-throughput-min-energy reactive scheduling model (MTME). The ADEC is in charge of inhibiting jobs which may lead to deadlocks, and sequencing active jobs and resources. The MTME ensures the fulfillment of the innate constraints and decides the local optimal schedule of active jobs and resources. Our proposed framework is applied to an industrial stamping system with power consumption uncertainties formulated using three different probability distributions. The obtained schedules are compared with three dispatching rules and two rescheduling approaches. Our experiment results verify that MTME outperforms three dispatching rules in terms of deviation from Pareto optimality and reduces interrupted time significantly as compared to rescheduling approaches. In addition, ADEC and MTME are programmed using the same matrix language, providing easy implementation for industrial practitioners. © 2013 Elsevier Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.cie.2013.07.006
dc.sourceScopus
dc.subjectDiscrete event control
dc.subjectDynamic scheduling
dc.subjectEnergy-efficient manufacturing
dc.subjectPower consumption uncertainties
dc.subjectReactive scheduling
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/j.cie.2013.07.006
dc.description.sourcetitleComputers and Industrial Engineering
dc.description.volume66
dc.description.issue2
dc.description.page406-417
dc.description.codenCINDD
dc.identifier.isiut000324962000020
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