Designing Self-Organization for Evolvable Assembly Systems

Regina Frei, Giovanna Di Marzo Serugendo, Jose Barata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

42 Citations (Scopus)

Abstract

Current solutions for industrial manufacturing assembly systems do not suit the needs of Mass Customization industry, which is facing low production volumes, many variants and rapidly changing conditions. This paper proposes the concept of Self-Organizing Evolvable Assembly Systems, where assembly system modules and product parts to be assembled self-organize and self-adapt (among others, choose their coalition partners, their location and monitor themselves) in order to easily and quickly produce a new or reconfigured assembly system each time a new product order arrives or each time a failure or weakness arises in the current assembly system. This paper presents the design and partial implementation of such a system following an architecture for self organizing and self-adaptive systems based on policies enforced at run-time on the basis of collected and updated metadata. As a case study, the assembly of a Adhesive Tape Roller Dispenser is considered.

Original languageEnglish
Title of host publicationSASO 2008: SECOND IEEE INTERNATIONAL CONFERENCE ON SELF-ADAPTIVE AND SELF-ORGANIZING SYSTEMS, PROCEEDINGS
EditorsS Brueckner, P Robertson, U Bellur
PublisherIEEE Computer Soc
Pages97-106
Number of pages10
ISBN (Print)978-0-7695-3404-6
DOIs
Publication statusPublished - 2008
Event2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems - Venice, Italy
Duration: 20 Oct 200824 Oct 2008

Conference

Conference2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems
CountryItaly
CityVenice
Period20/10/0824/10/08

Keywords

  • Metadata
  • Riveting
  • Adaptive systems
  • Customer satisfaction
  • Cybernetics
  • Embedded systems

Cite this

Frei, R., Serugendo, G. D. M., & Barata, J. (2008). Designing Self-Organization for Evolvable Assembly Systems. In S. Brueckner, P. Robertson, & U. Bellur (Eds.), SASO 2008: SECOND IEEE INTERNATIONAL CONFERENCE ON SELF-ADAPTIVE AND SELF-ORGANIZING SYSTEMS, PROCEEDINGS (pp. 97-106). IEEE Computer Soc. https://doi.org/10.1109/SASO.2008.20