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Production Planning & Control
The Management of Operations
Volume 15, 2004 - Issue 2
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Original Articles

Performance analysis of a multi-agent scheduling and control system under manufacturing disturbances

Robert W. Brennan Department of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Dr. NW, Calgary, Alberta, Canada, T2N 1N4 E-mail: [email protected]
&
William O. Department of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Dr. NW, Calgary, Alberta, Canada, T2N 1N4 E-mail: [email protected]
Pages 225-235 | Published online: 21 Feb 2007

Citations (17)

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Read on this site (3)

Vikram Singh & Somesh Kumar Sharma. (2023) Critical factors of multi-agent technology influencing manufacturing organizations: an AHP and DEMATEL-oriented analysis. International Journal of Computer Integrated Manufacturing 0:0, pages 1-23.
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Akshay Sharma & Somesh Kumar Sharma. (2022) Analyzing the role of multiagent technology in preventing airplane crash using AHP and DEMATEL approach. International Journal of Crashworthiness 27:6, pages 1753-1769.
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Babak Shirazi, Iraj Mahdavi & Maghsud Solimanpur. (2012) Intelligent decision support system for the adaptive control of a flexible manufacturing system with machine and tool flexibility. International Journal of Production Research 50:12, pages 3288-3314.
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Articles from other publishers (14)

Vikram Singh & Somesh Kumar Sharma. 2023. Recent Trends in Product Design and Intelligent Manufacturing Systems. Recent Trends in Product Design and Intelligent Manufacturing Systems 645 658 .
Vikram Singh & Somesh Sharma. (2022) Implementation of AHP to evaluate variables of prognosis agent technology managing manufacturing organizations. IOP Conference Series: Materials Science and Engineering 1259:1, pages 012038.
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Daniel Eyers. (2017) Control architectures for Industrial Additive Manufacturing Systems. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232:10, pages 1767-1777.
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Somesh Kumar Sharma, Swatantra Vishwakarma & Nishant Jha. (2017) Prognosis agent technology: influence on manufacturing organizations. The International Journal of Advanced Manufacturing Technology 92:1-4, pages 435-446.
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Ashkan Negahban & Jeffrey S. Smith. (2014) Simulation for manufacturing system design and operation: Literature review and analysis. Journal of Manufacturing Systems 33:2, pages 241-261.
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Peng Liu, Na Yi & Xiaoye Zhou. (2011) Two-agent single-machine scheduling problems under increasing linear deterioration. Applied Mathematical Modelling 35:5, pages 2290-2296.
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I. Mahdavi & B. Shirazi. (2010) A Review of Simulation-based Intelligent Decision Support System Architecture for the Adaptive Control of Flexible Manufacturing Systems. Journal of Artificial Intelligence 3:4, pages 201-219.
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Babak Shirazi, Iraj Mahdavi & Maghsud Solimanpur. (2010) Development of a Simulation-Based Intelligent Decision Support System for the Adaptive Real-Time Control of Flexible Manufacturing Systems. Journal of Software Engineering and Applications 03:07, pages 661-673.
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Karthik Soundararajan & Robert W. Brennan. (2008) Design patterns for real-time distributed control system benchmarking. Robotics and Computer-Integrated Manufacturing 24:5, pages 606-615.
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Shi-jin Wang, Li-feng Xi & Bing-hai Zhou. (2008) FBS-enhanced agent-based dynamic scheduling in FMS. Engineering Applications of Artificial Intelligence 21:4, pages 644-657.
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Karthik Soundararajan & Robert W. Brennan. 2006. Information Technology For Balanced Manufacturing Systems. Information Technology For Balanced Manufacturing Systems 99 108 .
Robert W. Brennan & Karthik Soundararajan. (2005) A HYBRID SIMULATION/PHYSICAL ENVIRONMENT FOR BENCHMARKING REAL-TIME DISTRIBUTED CONTROL SYSTEMS. IFAC Proceedings Volumes 38:1, pages 349-354.
Crossref
S.S. Walker, R.W. Brennan & D.H. Norrie. (2005) Holonic Job Shop Scheduling Using a Multiagent System. IEEE Intelligent Systems 20:1, pages 50-57.
Crossref
K. Soundararajan & R. W. Brennan. 2005. Holonic and Multi-Agent Systems for Manufacturing. Holonic and Multi-Agent Systems for Manufacturing 133 143 .

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