A Secure Multiagent Intelligent Conceptual Framework for Modeling Enterprise Resource Planning

  • Kaveh Pashaei
  • Farzad Peyravi
  • Fattaneh Taghyareh
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 6)

Facing the challenge of responding more rapidly to changing markets, manufacturing industries have been motivated to explore many exciting innovations in their business practices and procedures such as MRP, ERP, EIS, CIM, and the like [1–3]. However, economic globalization is forcing companies to look further for world- class manufacturing levels. The limitation of resources, such as technology, people, or money, makes enterprises focus on their own competence as well as try to get involved with others. The core idea here is that enterprises should share their resources and abilities without owning them, in order to exploit the market opportunity that is beyond the ability of a single enterprise [4–6].

The purpose of this chapter is to investigate the use of software agents to achieve the secure system integration of ERP software packages. A secure multiagentbased intelligent ERP (SMAIERP) architecture is proposed to take advantage of the existing information systems and security techniques to simulate the secure ERP system using capabilities and characteristics of the software agent-based computer systems. The rest of the chapter is organized as follows. In the next section, we discuss the MetaMorph I as a model that describes two architectures of the multiagent system, namely, the brokering and recruiting mechanisms for selecting our model. Next architecture of SMAIERP system is provided to highlight its properties, various types, and applications in order to establish its viability for developing an ERP type system. In Sect. 30.4, security issues are discussed. Section 30.5 shows how agents communicate and synchronize with each other. Experimental environment and simulation results in a secure and nonsecure manner is described in Sect. 30.6. Finally, the implications of the SMAIERP system and future research directions are provided.


Multiagent System Secure Manner Planning Agent Virtual Enterprise Data Request 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Kaveh Pashaei
    • 1
  • Farzad Peyravi
    • 1
  • Fattaneh Taghyareh
    • 1
  1. 1.Electrical and Computer Engineering Faculty, School of EngineeringUniversity of TehranTehranIran

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