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Modeling and simulation of evolvable production systems using Simulink/SimEvents
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, Production Systems.ORCID iD: 0000-0002-0006-283X
2014 (English)In: 40th Annual Conference of the IEEE Industrial Electronics Society, IEEE conference proceedings, 2014, 2591-2596 p.Conference paper (Refereed)
Abstract [en]

High automation cost is one of the major challenges to cope up with the variance in customer demands, both in terms of product diversity and quantity. Evolvable Production Systems (EPS) is one of the approaches targeting this challenge. It provides features such as self-configuration and adaptability. Although a promising approach, there is still a need for further enhancements from methodological perspective for a wider industrial acceptance. This paper mainly aims at the exploration of tools and methods for similar concepts from other engineering domains as a step towards a well-defined methodology for EPS. In particular, SimEvents is evaluated as a tool for analyzing EPS from a control viewpoint. The main contribution of this paper is guidelines for modeling an EPS using Simulink/SimEvents. These guidelines in future, can serve as a basis for a methodology incorporating automated model generation and a platform for verification and validation of different algorithms related to EPS. The work is validated and demonstrated by a preliminary case study.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 2591-2596 p.
Keyword [en]
modeling, simulation, EPS, SimEvents
National Category
Other Engineering and Technologies
URN: urn:nbn:se:kth:diva-165575DOI: 10.1109/IECON.2014.7048871ScopusID: 2-s2.0-84949927595ISBN: 978-1-4799-4032-5OAI: diva2:808603
IECON 2014, Dallas, TX, USA, October 29, November 1, 2014

QC 20150430. QC 20160314

Available from: 2015-04-29 Created: 2015-04-29 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.
Evolvable Production Systems, Model-based Development, System Thinking, Viewpoints
National Category
Mechanical Engineering
Research subject
Industrial Engineering and Management
urn:nbn:se:kth:diva-185956 (URN)978-91-7595-956-6 (ISBN)
2016-05-20, Sal M311, Brinellvägen 68, KTH, Stockholm, 10:00 (English)

QC 20160429

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

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