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

DIAMOND: distributed multi-agent architecture for monitoring and diagnosis

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Pages 189-200 | Published online: 21 Feb 2007

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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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Articles from other publishers (16)

Devesh Rana, Deepak Pathania, Parshant Kaushal, Prabal Sharma, Aman Choudhary, Lakhmi Kumar & Somesh Kr. Sharma. 2023. Intelligent Manufacturing Systems in Industry 4.0. Intelligent Manufacturing Systems in Industry 4.0 415 434 .
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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Moazam Ali & Susmit Bagchi. (2019) Design and analysis of distributed load management: Mobile agent based probabilistic model and fuzzy integrated model. Applied Intelligence 49:9, pages 3464-3489.
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Moazam Ali & Susmit Bagchi. (2019) Probabilistic normed load monitoring in large scale distributed systems using mobile agents. Future Generation Computer Systems 96, pages 148-167.
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Esteban Le Maitre González, Xavier Desforges & Bernard Archimède. (2018) Assessment method of the multicomponent systems future ability to achieve productive tasks from local prognoses. Reliability Engineering & System Safety 180, pages 403-415.
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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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Esteban Lemaitre Gonzalez, Xavier Desforges & Bernard Archimede. (2017) Towards a generic prognostic function of technical multi-component systems taking into account the uncertainties of the predictions of their components. Towards a generic prognostic function of technical multi-component systems taking into account the uncertainties of the predictions of their components.
Xavier Desforges, Mickaël Diévart & Bernard Archimède. (2017) A prognostic function for complex systems to support production and maintenance co-operative planning based on an extension of object oriented Bayesian networks. Computers in Industry 86, pages 34-51.
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Davide Ancona, Daniela Briola, Amal El Fallah Seghrouchni, Viviana Mascardi & Patrick Taillibert. 2014. Engineering Multi-Agent Systems. Engineering Multi-Agent Systems 246 270 .
Ágnes Werner-Stark & Tibor Dulai. 2012. Agent and Multi-Agent Systems. Technologies and Applications. Agent and Multi-Agent Systems. Technologies and Applications 424 433 .
Cédric Herpson, Vincent Corruble & Amal El Fallah Seghrouchni. 2012. Intelligent Distributed Computing V. Intelligent Distributed Computing V 129 139 .
Florian Fuchs, Sebastian Henrici, Michael Pirker, Michael Berger, Gerhard Langer & Christian Seitz. (2006) Towards Semantics-based Monitoring of Large-Scale Industrial Systems. Towards Semantics-based Monitoring of Large-Scale Industrial Systems.
F.K.T. Tiba & M.A.M. Capretz. (2006) An Overview of the Analysis and Design of SIGMA: Supervisory IntelliGent Multi-agent system Architecture. An Overview of the Analysis and Design of SIGMA: Supervisory IntelliGent Multi-agent system Architecture.
Rozália Lakner, Erzsébet Németh, Katalin M. Hangos & Ian T. Cameron. 2006. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 1443 1448 .
Rozália Lakner, Erzsébet Németh, Katalin M. Hangos & Ian T. Cameron. 2006. Advances in Applied Artificial Intelligence. Advances in Applied Artificial Intelligence 70 80 .

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