Paper
29 December 2000 Agent-based scheduling system to achieve agility
Muhtar B. Akbulut, Sagar V. Kamarthi
Author Affiliations +
Proceedings Volume 4208, Network Intelligence: Internet-based Manufacturing; (2000) https://doi.org/10.1117/12.411777
Event: Information Technologies 2000, 2000, Boston, MA, United States
Abstract
Today's competitive enterprises need to design, develop, and manufacture their products rapidly and inexpensively. Agile manufacturing has emerged as a new paradigm to meet these challenges. Agility requires, among many other things, scheduling and control software systems that are flexible, robust, and adaptive. In this paper a new agent-based scheduling system (ABBS) is developed to meet the challenges of an agile manufacturing system. In ABSS, unlike in the traditional approaches, information and decision making capabilities are distributed among the system entities called agents. In contrast with the most agent-based scheduling systems which commonly use a bidding approach, the ABBS employs a global performance monitoring strategy. A production-rate-based global performance metric which effectively assesses the system performance is developed to assist the agents' decision making process. To test the architecture, an agent-based discrete event simulation software is developed. The experiments performed using the simulation software yielded encouraging results in supporting the applicability of agent-based systems to address the scheduling and control needs of an agile manufacturing system.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Muhtar B. Akbulut and Sagar V. Kamarthi "Agent-based scheduling system to achieve agility", Proc. SPIE 4208, Network Intelligence: Internet-based Manufacturing, (29 December 2000); https://doi.org/10.1117/12.411777
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Cited by 4 scholarly publications.
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KEYWORDS
Manufacturing

Control systems

Software development

Telecommunications

Computer architecture

Computer simulations

Tantalum

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