Online Scheduling in Manufacturing Online Scheduling in Manufacturing

Online Scheduling in Manufacturing

A Cumulative Delay Approach

    • $84.99
    • $84.99

Publisher Description

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.

GENRE
Business & Personal Finance
RELEASED
2012
October 11
LANGUAGE
EN
English
LENGTH
168
Pages
PUBLISHER
Springer London
SELLER
Springer Nature B.V.
SIZE
3.2
MB
Technical System Maintenance Technical System Maintenance
2019
Stochastic Reliability and Maintenance Modeling Stochastic Reliability and Maintenance Modeling
2013
Reliability and Statistical Computing Reliability and Statistical Computing
2020