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MKMSIS: A Multi-agent Knowledge Management System for Industrial Sustainability

  • Virgilio López-MoralesEmail author
  • Yacine Ouzrout
  • Thitiya Manakitsirisuthi
  • Abdelaziz Bouras
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 607)

Abstract

Industrial Sustainability in most companies face several problems when a firm tries to promote a greener image while focusing on maintaining profitability in a long-term approach. This is a necessary strategic approach, as customers are becoming more committed to buying products that consider environmental concerns and additional regulations need to be followed. However, traditional marketing and distribution methods, management tools and the homogenization of requirements fail to fully integrate the implication of environmental regulations into their processes. In this scenario, a system for supporting the integration of environmental concerns, endogenous and exogenous regulations, and market trends would be very well received. This is a complex task to be realized by just one system, even when a firm’s various departments have an efficient networked communication system. A Distributed Decision Making System (DDMS) could be a useful approach. This paper introduces a multi agent network for collaborative knowledge management. Since regulations and environmental issues are at the core of those processes and influence the final products, several sustainability phases can be addressed within this network, from the design to the marketing and distribution stages. The aim of our system is to deal with the management of these different phases in a collaborative platform by considering the sustainability knowledge related to several regulations.

Keywords

Industrial sustainability Multi-agent system Knowledge management Expert systems Distributed decision making 

Notes

Acknowledgments

The authors would like to express their gratitude to the Editors and their team, and to the anonymous reviewers for their very useful comments that we used to improve this paper. Thanks are also due to Mr. John Harbison for improving the writing style.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Virgilio López-Morales
    • 1
    Email author
  • Yacine Ouzrout
    • 2
  • Thitiya Manakitsirisuthi
    • 2
  • Abdelaziz Bouras
    • 3
  1. 1.CITISUniversidad Autónoma del Estado de HidalgoPachucaMexico
  2. 2.DISP-LaboratoryUniversité Lumière Lyon 2BronFrance
  3. 3.Computer Science and Engineering DepartmentQatar University, College of EngineeringDohaQatar

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