Abstract
Abstract This research introduces an intelligent, distributed approach for predictive scheduling and reactive scheduling. Product descriptions and their manufacturing requirements are represented using a feature-based modeling scheme. Manufacturing resources, including facilities and persons, are modeled as agents. In predictive scheduling, the optimal production schedule is identified through heuristic search and agent-based negotiation. In reactive scheduling, the original schedule is modified for responding to the changes of orders and resources through a match-up approach and agent-based negotiation, when the original schedule cannot be accomplished due to these changes.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
