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, it was first introduce the ontology for the knowledge domain, and then in that context identify and analyse some of the challenges that CAPP presents to the multiagent system architect. In particular, it was investigated interactions between operation design and setup design, examine issues arising from global impacts of local decisions in plan construction, and discuss differences between software agents and humans in comparable planning roles. The analysis leads to several multiagent design patterns that help capture domain-specific know-how and integrate it into efficient team behaviour. A pattern is illustrated with a concrete scenario.

Multi-agent team for engineering: a machining plan in intelligent manufacturing systems / Djapic, M; Lukic, L; Fragassa, C; Pavlovic, A; Petrovic, A.. - In: INTERNATIONAL JOURNAL OF MANUFACTURING, MATERIALS, AND MECHANICAL ENGINEERING. - ISSN 2156-1680. - STAMPA. - 19:6(2017), pp. 505-521. [10.1504/IJMMM.2017.088893]

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

Fragassa C;Pavlovic A;
2017

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, it was first introduce the ontology for the knowledge domain, and then in that context identify and analyse some of the challenges that CAPP presents to the multiagent system architect. In particular, it was investigated interactions between operation design and setup design, examine issues arising from global impacts of local decisions in plan construction, and discuss differences between software agents and humans in comparable planning roles. The analysis leads to several multiagent design patterns that help capture domain-specific know-how and integrate it into efficient team behaviour. A pattern is illustrated with a concrete scenario.
2017
Multi-agent team for engineering: a machining plan in intelligent manufacturing systems / Djapic, M; Lukic, L; Fragassa, C; Pavlovic, A; Petrovic, A.. - In: INTERNATIONAL JOURNAL OF MANUFACTURING, MATERIALS, AND MECHANICAL ENGINEERING. - ISSN 2156-1680. - STAMPA. - 19:6(2017), pp. 505-521. [10.1504/IJMMM.2017.088893]
Djapic, M; Lukic, L; Fragassa, C; Pavlovic, A; Petrovic, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/618574
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