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Titlebook: Online Scheduling in Manufacturing; A Cumulative Delay A Haruhiko Suwa,Hiroaki Sandoh Book 2013 Springer-Verlag London 2013 Cumulative Dela

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發(fā)表于 2025-3-21 19:46:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Online Scheduling in Manufacturing
副標題A Cumulative Delay A
編輯Haruhiko Suwa,Hiroaki Sandoh
視頻videohttp://file.papertrans.cn/702/701566/701566.mp4
概述Provides a taxonomy for scheduling with uncertainty from the viewpoint of a when-to-schedule policy.Introduces new approaches to online scheduling based on a concept of cumulative delay.Discusses the
圖書封面Titlebook: Online Scheduling in Manufacturing; A Cumulative Delay A Haruhiko Suwa,Hiroaki Sandoh Book 2013 Springer-Verlag London 2013 Cumulative Dela
描述.Online scheduling is recognized as the crucial decision-making process of production control at a phase of “being in production" according to the released shop floor schedule. Online scheduling can be also considered as one of key enablers to realize prompt capable-to-promise as well as available-to-promise to customers along with reducing production lead times under recent globalized competitive markets..Online Scheduling in Manufacturing. introduces new approaches to online scheduling based on a concept of cumulative delay. The cumulative delay is regarded as consolidated information of uncertainties under a dynamic environment in manufacturing and can be collected constantly without much effort at any points in time during a schedule execution. In this approach, the cumulative delay of the schedule has the important role of a criterion for making a decision whether or not a schedule revision is carried out. The cumulative delay approach to trigger schedule revisions has the following capabilities for the practical decision-making:.1. To reduce frequent schedule revisions which do not necessarily improve a current situation with much expense for its operation;.2. To avoid overre
出版日期Book 2013
關(guān)鍵詞Cumulative Delay; Dynamic Scheduling; Uncertainty; When-to-Schedule Policy; Engineering Economics
版次1
doihttps://doi.org/10.1007/978-1-4471-4561-5
isbn_softcover978-1-4471-5827-1
isbn_ebook978-1-4471-4561-5
copyrightSpringer-Verlag London 2013
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發(fā)表于 2025-3-21 21:40:16 | 只看該作者
Methods for Online Schedulingcuss the schedule revision to understand that a so-called right-shift operation and an iterative schedule revision are effective to cope with uncertainty caused by dynamic changes in manufacturing environments. We also glance at knowledge-based approaches which have played an important role in online scheduling.
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Enhanced ,-Driven Policyework of the enhanced .-driven policy, and then describe flexible flow shop scheduling problems with urgent jobs. Through a series of computational simulations, we investigate the performance of the enhanced .-driven policy by comparing it with various schedule revision policies to show the effectiveness of the enhanced .-driven policy.
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Outline of Scheduling . scheduling versus . scheduling to clarify how we can discuss the online scheduling within the framework of scheduling problems. Finally, we summarize various scheduling models based on the famous triplet ., i.e. manufacturing environments(.), restrictions and constraints (.), and the performance measures (.).
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