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Goal-Oriented Process Plans in a Multiagent System for Plug & Produce
University West, Department of Engineering Science, Division of Production Systems. (PTW)ORCID iD: 0000-0002-7683-7662
University West, Department of Engineering Science, Division of Production Systems. (PTW)ORCID iD: 0000-0002-6604-6904
University West, Department of Engineering Science, Division of Production Systems. (PTW)ORCID iD: 0000-0002-8878-2718
Department of Signals and systems, Chalmers University of Technology (SWE).
2021 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 17, no 4, p. 2411-2421Article in journal (Refereed) Published
Abstract [en]

This article presents a framework for Plug & Produce that makes it possible to use configurations rather than programming to adapt a manufacturing system for new resources and parts. This is solved by defining skills on resources, and goals for parts. To reach these goals, process plans are defined with a sequence of skills to be utilized without specifying specific resources. This makes it possible to separate the physical world from the process plans. When a process plan requires a skill, e.g., grip with a gripper resource, then that skill may require further skills, e.g., move with a robot resource. This creates a tree of connected resources that are not defined in the process plan. Physical and logical compatibility between resources in this tree is checked by comparing several parameters defined on the resources and the part. This article presents an algorithm together with a multiagent system framework that handles the search and matching required for selecting the correct resources.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2021. Vol. 17, no 4, p. 2411-2421
Keywords [en]
Multiagent; Plug & Produce; process plan; robotics
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-17093DOI: 10.1109/TII.2020.2994032ISI: 000607814600012Scopus ID: 2-s2.0-85099522948OAI: oai:DiVA.org:hv-17093DiVA, id: diva2:1622462
Funder
European Regional Development Fund (ERDF), 20201192
Note

This work was supported by Miljö för Flexibel och Innovativ Automation under Project no. 20201192 funded by the Europeiska regionala utvecklingsfonden/VGR. Paper no. TII-20-0219.

Creative Commons Attribution 4.0 License

Available from: 2021-12-22 Created: 2021-12-22 Last updated: 2023-01-05
In thesis
1. A Control Framework for Industrial Plug & Produce
Open this publication in new window or tab >>A Control Framework for Industrial Plug & Produce
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [sv]

Kundanpassade produkter och korta produktionsserier blir alltmer populärt. Detta har lett till problem för dedikerade tillverkningssystem som är designade för massproduktion. Det krävs ofta långa produktionsserier för att det ska bli en rimlig investering att ställa om produktionen. Därför används människor för tillverkningsuppgifter som ofta ställs om. Denna avhandling fokuserar på konceptet Plug & Produce, som gör det enklare att flytta, lägga till och ta bort resurser från ett tillverkningssystem. Tanken är att resurser placeras i processmoduler som alla har samma fysiska gränssnitt för att kopplas in i tillverkningssystemet. Styrningen av tillverkningssystemet görs av ett multiagentsystem där varje detalj som ska produceras för produkter får en egen agent som representerar detaljen och agerar som styrningsmjukvara. Varje detaljs agent tar hand on sina egna tillverkningsmål genom att kommunicera med resursagenter i systemet som används för styrning av resurserna. I detta arbete, presenteras ett ramverk för Plug & Produce som består av ett konfigurerbart multiagentsystem, samt ett konfigurationsverktyg som kan användas för att definiera agenterna. Arbetet inkluderar metoder för att identifiera inkopplade resurser, kommunikation mellan agenter, schemaläggning som kan undvika konflikter mellan agenter, samt metoder för att automatiskt hitta vägar för transport genom tillverkningssystemet.

Abstract [en]

Customized products and low-volume production are becoming more popular resulting in a problem for dedicated manufacturing systems that are designed for mass production. Adapting a system to new demands is expensive and requires many products to be produced before it becomes a reasonable investment. This has forced factories to use human workers for manufacturing tasks that often change. This thesis focuses on a concept called Plug & Produce, which makes it easier to move, add, and remove resources in manufacturing systems. This is done by containing resources in process modules that all have the same physical connectors. To handle the control of the manufacturing system a multi-agent system is considered where each part to be produced for products has a part agent software running that represents that part. Each part agent takes care of their own manufacturing goals by communicating with resource agents that control the resources in the system. In this thesis, a Plug & Produce framework is describedthat consists of a configurable multi-agent system, together with a configuration tool for defining agent behaviours. Methods for identifying the resource that has been connected to a Plug & Produce system are investigated. Communication between agents in Plug & Produce is investigated. Scheduling is described for the presented systems to avoid conflicts when running multiple agents. Also, a pathfinding method for Plug & Produce is presented, which automatically gathers the necessary information for finding paths to transport parts through the manufacturing system.

Place, publisher, year, edition, pages
Trollhättan: University West, 2023. p. 66
Series
Production Tecnology ; 54
Keywords
Flexible Manufacturing, Ontology, Multi-agent system, Automation, Planning, Flexibel tillverkning, Ontologi, Multiagentsystem, Automation, Planering
National Category
Manufacturing, Surface and Joining Technology
Research subject
Production Technology
Identifiers
urn:nbn:se:hv:diva-19523 (URN)9789189325425 (ISBN)9789189325418 (ISBN)
Public defence
2023-02-01, F131, Gustava Melins gata, Trollhättan, 10:00 (English)
Opponent
Supervisors
Note

Paper E and F is to be submitted and not included in the electronic thesis.

Available from: 2023-01-05 Created: 2023-01-05 Last updated: 2024-01-03Bibliographically approved

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Bennulf, MattiasDanielsson, FredrikSvensson, Bo

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