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Online Scheduling in Manufacturing

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Produktnummer: 18da68ac15e3d1420eb651388d556838d5
Autor: Sandoh, Hiroaki Suwa, Haruhiko
Themengebiete: Cumulative Delay Dynamic Scheduling Engineering Economics Uncertainty When-to-Schedule Policy
Veröffentlichungsdatum: 09.11.2014
EAN: 9781447158271
Sprache: Englisch
Seitenzahl: 158
Produktart: Kartoniert / Broschiert
Verlag: Springer London
Untertitel: A Cumulative Delay Approach
Produktinformationen "Online Scheduling in Manufacturing"
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 overreacting to disturbances dependent on strongly an individual shop floor circumstance; and3. To simplify the monitoring process of a schedule status.Online Scheduling in Manufacturing will be of interest to both practitioners and researchers who work in planning and scheduling in manufacturing. Readers will find the importance of when-to-revise policies during a schedule execution and their influences on scheduling results.
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