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Challenges and properties for bio-inspiration in manufacturing
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems. (Adaptive Manufacturing Systems)
Linkoping University.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems. (Adaptive Manufacturing Systems)ORCID iD: 0000-0002-0006-283X
Universidade nova de lisboa.
2014 (English)In: Technological Innovation for Collective Awareness Systems / [ed] L. Camarinha-Matos, 2014, 139-148 p.Conference paper, Published paper (Refereed)
Abstract [en]

The increasing market fluctuations and customized products demand have dramatically changed the focus of industry towards organizational sustainability and supply chain agility. Such critical changes inevitably have a direct impact on the shop-floor operational requirements. In this sense, a number of innovative production paradigms emerged, providing the necessary theoretical background to such systems. Due to similarities between innovative modular production floors and natural complex systems, modern paradigms theoretically rely on bio-inspired concepts to attain the characteristics of biological systems. Nevertheless, during the implementation phase, bio-inspired principles tend to be left behind in favor of more traditional approaches, resulting in simple distributed systems with considerable limitations regarding scalability, reconfigurable ability and distributed problem resolution.

This paper analyzes and presents a brief critical review on how bio-inspired concepts are currently being explored in the manufacturing environment, in an attempt to formulate a number of challenges and properties that need to be considered in order to implement manufacturing systems that closely follow the biological principles and consequently present overall characteristics of complex natural systems.

Place, publisher, year, edition, pages
2014. 139-148 p.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-144071ISI: 000341133400016OAI: oai:DiVA.org:kth-144071DiVA: diva2:710834
Conference
5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)
Funder
XPRES - Initiative for excellence in production research
Note

QC 20150210

Available from: 2014-04-08 Created: 2014-04-08 Last updated: 2015-02-10Bibliographically approved

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Onori, Mauro

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf