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Performance Assessment in Self-organising Mechatronic Systems: A First Step towards Understanding the Topology Influence in Complex Behaviours
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Adaptive Manufacturing Systems)
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Adaptive Manufacturing Systems)ORCID iD: 0000-0002-0006-283X
Universidade Nova de Lisboa.
2014 (English)In: IFIP AICT, Technological Innovation for Collective Awareness Systems / [ed] L. Camarinha-Matos, 2014, -84 p.Conference paper, Published paper (Refereed)
Abstract [en]

The research and development of self-organising mechatronic systems has been a hot topic in the past 10 years which conducted to very promising results in the close past. The proof of concept attained in IDEAS project [1] that plug&produce can be achieved in these systems opens up new research horizons on the topics of system design, configuration and performance evaluation. These topics need to consider that the systems are no longer static prototypes but instead several distributed components that can be added and removed in runtime. The distribution of modules in the system and their inherent connections will then potentially affect the system's global behaviour. Hence it is vital to understand the impact on performance as the system endures changes that affect its topology. This article presents an exploratory test case that shows that as a system evolves (and the nature of the network of its components changes) the performance of the system is necessarily affected in a specific direction. This performance landscape is necessarily complex and very likely nonlinear. Simulation plays therefore an important role in the study of these systems as a mean to generate data that can be later on used to generate macro level knowledge that may act as a guideline to improve both design and configuration.

Place, publisher, year, edition, pages
2014. -84 p.
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238 ; 423
Keyword [en]
Multi-Agent Systems, Performance Assessment, Evolvable Production Systems, Self-Organizing Systems, Simulation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-144074ISI: 000341133400009OAI: oai:DiVA.org:kth-144074DiVA: diva2:710840
Conference
Doceis 2014
Funder
XPRES - Initiative for excellence in production research
Note

QC 20141003

Available from: 2014-04-08 Created: 2014-04-08 Last updated: 2014-10-03Bibliographically approved

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Onori, Mauro

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CiteExportLink to record
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  • apa
  • harvard1
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