Challenges and Properties for Bio-inspiration in Manufacturing

Joao Dias Ferreira, Luis Ribeiro, Mauro Onori, Jose Barata

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationTechnological Innovation for Collective Awareness Systems
EditorsLM CamarinhaMatos, NS Barrento, R Mendonca
Number of pages10
ISBN (Print)978-3-642-54733-1
Publication statusPublished - 2014
Event5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS) - Costa da Caparica, Portugal
Duration: 7 Apr 20149 Apr 2014

Publication series

NameIFIP Advances in Information and Communication Technology
ISSN (Print)1868-4238


Conference5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)
CityCosta da Caparica


  • Bio-inspiration
  • Manufacturing Systems
  • Self-Organization

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