Table of contents
About this book
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; and
3. 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.
- Book Title Online Scheduling in Manufacturing
- Book Subtitle A Cumulative Delay Approach
- DOI https://doi.org/10.1007/978-1-4471-4561-5
- Copyright Information Springer-Verlag London 2013
- Publisher Name Springer, London
- eBook Packages Engineering Engineering (R0)
- Hardcover ISBN 978-1-4471-4560-8
- Softcover ISBN 978-1-4471-5827-1
- eBook ISBN 978-1-4471-4561-5
- Edition Number 1
- Number of Pages X, 158
- Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
Engineering Economics, Organization, Logistics, Marketing
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