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Towards A Model-Based Development Methodology For Evolvable Production Systems: A Domain-Specific Modeling Approach
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems. (Evolvable Production Systems)ORCID iD: 0000-0001-6669-8374
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0002-0006-283X
2016 (English)In: Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015.: Springer International Publishing, Springer, 2016, Vol. 427, 83-92 p.Conference paper (Refereed)
Abstract [en]

Evolvable production system (EPS) is one of the most promising emerging paradigms among the next generation of production systems dealing with challenges such as market unpredictability, high product variance and increasing automation costs. One of the major challenges faced by EPS for its wider industrial realization is the harmonization of its existing research activities such as the ontology and reference architecture with the agent-based control, dynamic skill-configuration methodology and self-organization algorithms while also considering the aspects of operation management and business models. In addition, the integration with existing industrial standards, targeting aspects like functional safety, system integrity, etc. is also required. This paper addresses the challenge by providing an extendible DSM (Domain Specific Modeling) based support for modeling an EPS. The work is a basis for a model-based and architecture-centric methodology applicable throughout the development life-cycle of an EPS.

Place, publisher, year, edition, pages
Springer, 2016. Vol. 427, 83-92 p.
Series
, Advances in Intelligent Systems and Computing, ISSN 2194-5357
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Engineering
Identifiers
URN: urn:nbn:se:kth:diva-179081DOI: 10.1007/978-3-319-29504-6_9ISI: 000371912400009ScopusID: 2-s2.0-84958267509ISBN: 978-3-319-29503-9OAI: oai:DiVA.org:kth-179081DiVA: diva2:881258
Conference
2nd International Afro-European Conference for Industrial Advancement, September 9-11, 2015, Villejuif, France
Note

QC 20160122

Available from: 2015-12-10 Created: 2015-12-10 Last updated: 2016-04-29Bibliographically approved
In thesis
1. Towards a Holistic Development Approach for Adaptable Manufacturing Paradigms: A Case Study of Evolvable Production Systems
Open this publication in new window or tab >>Towards a Holistic Development Approach for Adaptable Manufacturing Paradigms: A Case Study of Evolvable Production Systems
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Increasing global competition, market uncertainties and high product variance are a few of the factors posing challenges to the existing manufacturing industry. Having a quick response to market fluctuations and adapting to changing customer demands while maintaining shorter lead times and low costs are a few of the major challenges. The main focus of this thesis is on Evolvable Production Systems, which is one of the promising solutions to deal with the emerging manufacturing challenges by changing the conventional manufacturing systems towards a more flexible, intelligent and adaptable approach.

Although promising, further research is needed in several directions for a wider industrial acceptance of EPS. The directions include but are not limited to methodological aspects, tool support, etc. throughout the development lifecycle.

This thesis aims to provide a basis for a holistic model-based development methodology for evolvable production systems. One of the main contributionsof this work is the identification of major architectural elements (i.e stakeholders,concerns, viewpoints and views) and their dependencies on each other.This work shall serve as a basis for establishing a well-defined architectural framework for EPS.

The second important contribution of this thesis is the development of a domain specific modeling language (EPS- DSL) based on the existing EPS ontology. The DSM platform does not only store the domain knowledge in the form of models but also provides support for the re-use of these models, i.e. enables utilization of the domain ontology during system development. Moreover, the automatic code generation support for the module library presented in this work, significantly reduces the risks of information discrepancies when transferring data from one abstraction level to another. The existing EPS ontology is also evaluated from a holistic perspective and resulted in contributing a few improvement suggestions for achieving a seamless model-based development approach.

Evaluation of Simulink/SimEvents as a modeling and simulation tool for EPS is the third main contribution of this thesis. One of the main advantages of evaluating this tool for EPS is the opportunity to analyze the complete system behavior on a single modeling platform. The integration of agent-based system behavior (discrete event) with dynamic system behavior (continuous & discrete time) provides a holistic modeling approach and implies less information inconsistencies.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 111 p.
Keyword
Evolvable Production Systems, Model-based Development, System Thinking, Viewpoints
National Category
Mechanical Engineering
Research subject
Industrial Engineering and Management
Identifiers
urn:nbn:se:kth:diva-185956 (URN)978-91-7595-956-6 (ISBN)
Presentation
2016-05-20, Sal M311, Brinellvägen 68, KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20160429

Available from: 2016-04-29 Created: 2016-04-29 Last updated: 2016-05-20Bibliographically approved

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Publisher's full textScopushttps://link.springer.com/chapter/10.1007%2F978-3-319-29504-6_9

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