Reducing the Standard Deviation When Integrating Process Planning and Production Scheduling Through the Use of Expert Systems in an Agent-based Environment

  • Izabel Cristina Zattar
  • Joao Carlos Espindola Ferreira
  • Paulo Eduardo de Albuquerque Botura
Conference paper

DOI: 10.1007/978-1-84800-972-1_29

Part of the Advanced Concurrent Engineering book series (ACENG)
Cite this paper as:
Zattar I.C., Ferreira J.C.E., de Albuquerque Botura P.E. (2008) Reducing the Standard Deviation When Integrating Process Planning and Production Scheduling Through the Use of Expert Systems in an Agent-based Environment. In: Curran R., Chou SY., Trappey A. (eds) Collaborative Product and Service Life Cycle Management for a Sustainable World. Advanced Concurrent Engineering. Springer, London

Abstract

The main objective of this work is the reduction of the standard deviation generated through the routing of production orders in manufacturing resources in a job shop environment. This reduction is obtained through the suggestion of the best machining route for each job order in a simulation, based upon historic simulation data (base of facts) and a set of rules. In order to generate these routes, an expert agent and the expert system were developed. This agent is responsible for processing the information and controlling the rule engine, whereas the expert system code is responsible for the rules that will be chosen to be loaded and applied by the agent.

Keywords

Multiagent systems Expert systems Routing Scheduling Manufacturing 

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Copyright information

© Springer-Verlag London Limited 2008

Authors and Affiliations

  • Izabel Cristina Zattar
    • 1
  • Joao Carlos Espindola Ferreira
    • 1
  • Paulo Eduardo de Albuquerque Botura
    • 1
  1. 1.Departamento de Engenharia Mecânica. GRIMA/GRUCONUniversidade Federal de Santa CatarinaFlorianopolis, SCBrazil

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