An intelligent method for coordinating the production in network Online publication date: Wed, 14-Jan-2015
by Anna Ławrynowicz
International Journal of Enterprise Network Management (IJENM), Vol. 6, No. 2, 2014
Abstract: Today, the efficient production management in networks is a complex problem, particularly in distributed and dynamic production environments. Therefore, at the beginning, the objective of the studies is a short analysis of the concept and forms of inter-organisational cooperation from a viewpoint of the operating decision making. Next, this article introduces to genetic algorithms and provides a brief survey of the evolutionary-based methods for planning and scheduling in supply networks. Based on a genetic algorithm, this research develops an optimisation method for the joint planning and scheduling in local supply networks. Finally, an experimental verification of the proposed genetic algorithm is reported and representative examples are provided to show that the suggested new method can improve planning and scheduling in local supply networks.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Enterprise Network Management (IJENM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com