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International Journal of Machining and Machinability of MaterialsVolume 19, Issue 6, 2017, Pages 505-521

Multi-agent team for engineering: a machining plan in intelligent manufacturing systems(Article)

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  • aFaculty of Mechanical and Civil Engineering, University of Kragujevac, Dositeleva 19, Kraljevo, 36000, Serbia
  • bDepartment of Industrial Engineering, Alma Mater Studiorium University of Bologna, Viale Risorgimento 2, Bologna, 40133, Italy
  • cFaculty of Mechanical and Civil Engineering, University of Kragujevac, Dositeleva 19, Kraljevo, 36000, Serbia

Abstract

This paper explores the modelling of technical expertise in metal-cutting processes in a form suitable for the development of computer-aided process planning (CAPP) in intelligent manufacturing systems using agent-oriented software technologies. Focusing on the selection of tools and cutting parameters in the design of machining operations, the ontology for the knowledge domain was first introduced, and then in that context identify and analyse some of the challenges that CAPP presents to the multi-agent system architect. In particular, interactions between operation design and setup design was investigated, issues arising from global impacts of local decisions in plan construction were examine, and differences between software agents and humans in comparable planning roles were discuss. The analysis leads to several multi-agent design patterns that help capture domain-specific know-how and integrate it into efficient team behaviour. A pattern is illustrated with a concrete scenario. Copyright © 2017 Inderscience Enterprises Ltd.

Author keywords

CAPP systemsCNC systemsCutting processesMulti-agent systemsTechnology design

Indexed keywords

Engineering controlled terms:Computer aided process planningCutting toolsIntelligent agentsMetal cuttingTechnology transfer
Engineering uncontrolled termsAgent oriented SoftwareCNC systemComputeraided process planning(CAPP)Cutting processIntelligent manufacturing systemMachining operationsMetal cutting processTechnology designs
Engineering main heading:Multi agent systems
  • ISSN: 17485711
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1504/IJMMM.2017.088893
  • Document Type: Article
  • Publisher: Inderscience Publishers

  Djapic, M.; Faculty of Mechanical and Civil Engineering, University of Kragujevac, Dositeleva 19, Kraljevo, Serbia;
© Copyright 2020 Elsevier B.V., All rights reserved.

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