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An agent-based approach for dependable planning of production sequences in automated production systems

An agent-based approach for dependable planning of production sequences in automated production... AbstractOne approach to achieve flexibility and dependability for the control of automated production systems (aPS) isagent-oriented software engineering (AOSE). In this paper, the modular decoupling of the supervisory control, mostsignificantly the planning of production sequences and transfer routes, from the distributed real-time control of theplant resources is demonstrated by the use of agents. The resulting product management agent (PMA) represents thetechnical process of the manufactured product and conducts a discrete reasoning algorithm to derive appropriate productionplans by the use of graph-search and also by interaction with the underlying resource agents (RA). It is shown, that fora given production system, dependable solutions are automatically generated in regard to a given product recipe. Furtherit is deduced, that the solutions are calculated and evaluated by the PMA within a deterministic time duration. This isargued on the fact, that the computation complexity does not exceed polynomial time and is mostly predetermined by thedesign parameters of the plant. Thus, it gives a reasonable approach for the use in a real-time environment. Additionally,through separation of supervisory and field control, a modular software engineering is achieved, offering the advantagethat the PMA and the resource agents can be reused, by solely adapting the knowledge bases and without the need formodifying the planning algorithms after a reconfiguration of the aPS. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png at - Automatisierungstechnik de Gruyter

An agent-based approach for dependable planning of production sequences in automated production systems

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Publisher
de Gruyter
Copyright
©2017 Walter de Gruyter Berlin/Boston
ISSN
2196-677X
eISSN
2196-677X
DOI
10.1515/auto-2017-0040
Publisher site
See Article on Publisher Site

Abstract

AbstractOne approach to achieve flexibility and dependability for the control of automated production systems (aPS) isagent-oriented software engineering (AOSE). In this paper, the modular decoupling of the supervisory control, mostsignificantly the planning of production sequences and transfer routes, from the distributed real-time control of theplant resources is demonstrated by the use of agents. The resulting product management agent (PMA) represents thetechnical process of the manufactured product and conducts a discrete reasoning algorithm to derive appropriate productionplans by the use of graph-search and also by interaction with the underlying resource agents (RA). It is shown, that fora given production system, dependable solutions are automatically generated in regard to a given product recipe. Furtherit is deduced, that the solutions are calculated and evaluated by the PMA within a deterministic time duration. This isargued on the fact, that the computation complexity does not exceed polynomial time and is mostly predetermined by thedesign parameters of the plant. Thus, it gives a reasonable approach for the use in a real-time environment. Additionally,through separation of supervisory and field control, a modular software engineering is achieved, offering the advantagethat the PMA and the resource agents can be reused, by solely adapting the knowledge bases and without the need formodifying the planning algorithms after a reconfiguration of the aPS.

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at - Automatisierungstechnik – de Gruyter

Published: Nov 27, 2017

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