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Challenges and Properties for Bio-inspiration in Manufacturing
Kungliga Tekniska Högskolan, Stockholm, Sweden .
Universidade Nova de Lisboa, Monte da Caparica, Portugal .ORCID iD: 0000-0002-0248-8180
Kungliga Tekniska Högskolan, Stockholm, Sweden.
Universidade Nova de Lisboa, Monte da Caparica, Portugal.
2014 (English)In: Technological Innovation for Collective Awareness Systems: 5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2014, Costa de Caparica, Portugal, April 7-9, 2014. Proceedings / [ed] Luis M. Camarinha-Matos, Nuno S. Barrento, Ricardo Mendonça, Springer Berlin/Heidelberg, 2014, Vol. 423, 139-148 p.Chapter in book (Refereed)
Abstract [en]

The increasing market fluctuations and customized products demandhave dramatically changed the focus of industry towards organizationalsustainability and supply chain agility. Such critical changes inevitably have adirect impact on the shop-floor operational requirements. In this sense, anumber of innovative production paradigms emerged, providing the necessarytheoretical background to such systems. Due to similarities between innovativemodular production floors and natural complex systems, modern paradigmstheoretically rely on bio-inspired concepts to attain the characteristics ofbiological systems. Nevertheless, during the implementation phase, bio-inspiredprinciples tend to be left behind in favor of more traditional approaches,resulting in simple distributed systems with considerable limitations regardingscalability, reconfigurable ability and distributed problem resolution.This paper analyzes and presents a brief critical review on how bio-inspiredconcepts are currently being explored in the manufacturing environment, in anattempt to formulate a number of challenges and properties that need to beconsidered in order to implement manufacturing systems that closely follow thebiological principles and consequently present overall characteristics ofcomplex natural systems.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2014. Vol. 423, 139-148 p.
, IFIP Advances in Information and Communication Technology, ISSN 1868-4238 ; 423
Keyword [en]
Bio-inspiration; Self-Organization; Manufacturing Systems
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Production Engineering, Human Work Science and Ergonomics
URN: urn:nbn:se:liu:diva-109298DOI: 10.1007/978-3-642-54734-8_16ISBN: 978-3-642-54733-1 (print)ISBN: 978-3-642-54734-8 (online)OAI: diva2:737025
Available from: 2014-08-11 Created: 2014-08-11 Last updated: 2014-09-08Bibliographically approved

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