Designing a Multi-Agent PLM System for Threaded Connections Using the Principle of Isomorphism of Regularities of Complex Systems

Author:

Kopei Volodymyr1,Onysko Oleh1,Barz Cristian2ORCID,Dašić Predrag3ORCID,Panchuk Vitalii1

Affiliation:

1. Department of Computerized Mechanical Engineering, Ivano-Frankivsk National Technical University of Oil and Gas, Karpatska Str., no. 15, 76019 Ivano-Frankivsk, Ukraine

2. North University Centre of Baia Mare, Technical University of Cluj-Napoca, Victor Babes Str., no. 62A., 430083 Baia Mare, Romania

3. SaTCIP Publisher Ltd., Street Tržni Centar Pijaca 101, 36210 Vrnjačka Banja, Serbia

Abstract

The PLM concept implies the use of heterogeneous information resources at different stages of the product life cycle, the joint work of which allows the user to effectively solve the problems of product quality and various costs. According to the principle of isomorphism of complex systems’ regularities, an effective PLM system must have these regularities. Unfortunately, this principle is not often fundamental when designing PLM systems. The purpose of this paper is to develop principles, based on the general theory of systems, for the design, operation and use of PLM systems and the implementation on their basis of the educational framework of a PLM system for threaded connections with the possibility of its effective development, research and study. The multi-agent approach to the development of a PLM system provides the necessary prerequisites for the emergence of system-wide regularities in it. The parallel work of agents is implemented using the actor model and the Ray Python-package. Agents for the logical inference of knowledge base facts, CAD/FEA/CAM/SCADA agents, agents for optimization by various methods, and other agents have been developed. Open-source software was used to develop the system. Each agent has relatively simple behavior, implemented by its rule function, and can interact with other agents. The system can work in interactive mode with the user or in automatic mode according to a simple algorithm: the rule functions of all agents are executed until at least one of them returns a value other than None. Examples of the system operation are given and system-wide regularities such as emergence, historicity and self-organization are demonstrated in it.

Funder

Ministry of Education and Science of Ukraine

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering

Reference72 articles.

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2. Grieves, M. (2006). Product Lifecycle Management—Driving the Next Generation of Lean Thinking, McGraw-Hill.

3. Liu, W., Zeng, Y., Maletz, M., and Brisson, D. (September, January 30). Product Lifecycle Management: A Survey. Proceedings of the 29th ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Parts A and B, San Diego, CA, USA.

4. Abstract model of product lifecycle management system;Kopey;Precarpathian Bull. Shevchenko Sci. Soc.,2017

5. Bertalanffy, L.V. (1968). General System Theory: Foundations, Development, Applications, George Braziller, Inc.

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