Assessment of reconfiguration schemes for Reconfigurable Manufacturing Systems based on resources and lead time.

Authors Erik Puik , Daniël Telgen , Leo van Moergestel , Darek Ceglarek
Published in Robotics and Computer-Integrated Manufacturing
Publication date February 2017
Research groups Smart Systems for Healthy Living
Type Article

Summary

From the publisher's site: Reconfigurable manufacturing equipment is developed to meet the growing demand for more agile production. Agile manufacturing technology can improve the turnover of a company if it enables fast market introduction for volume production. Modular reconfiguration, defined as changing the structure of the machine, enables larger variation of products on a single manufacturing system; these solutions are called Reconfigurable Manufacturing Systems (RMS). The quality of RMS, and the required resources to bring it to reliable production, is largely determined by a swift execution of the reconfiguration process. This paper proposes a method to compare alternatives for the ways to implement reconfiguration. Three classes of reconfiguration are defined to distinguish the impact of the proposed alternatives. The procedure uses a recently introduced index method for development of RMS process modules, based on the Axiomatic Design methodology. Weighting factors are used to calculate the resources and lead time needed to implement the reconfiguration process. Application of the method leads to quick comparison of alternatives in the early stage of development. Successful execution of the method was demonstrated for the manufacturing process of a 3D measuring probe. https://www.sciencedirect.com/science/article/pii/S0736584516300096

On this publication contributed

  • Erik Puik
    Erik Puik
    • Professor
    • Research groups: Smart Systems for Healthy Living

Language English
Published in Robotics and Computer-Integrated Manufacturing
Year and volume 43 february
Key words Manufacturing
Page range 30-38

Erik Puik

Erik Puik

Erik Puik

  • Professor
  • Research group: Smart Systems for Healthy Living