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SOBA: A Self-Organizing Bucket Architecture to Reduce Setup Times in an Event-Driven Production

Authors:
Martin Krockert
Marvin Matthes
Torsten Munkelt

Keywords: Self-Adaptation; Production; Group Technology; Job Shop; Setup Time Reduction

Abstract:
Modern industry prefers self-organization in production over central production planning for the sake of greater flexibility, faster response to disruptions and to deviations, and less effort. The strategy also propagates highly customizable products. These products mostly require different group technologies and therefore cannot be grouped into lots. This leads to a huge number of operations that have to be scheduled and processed, which in turn leads to high computation times for scheduling algorithms and high setup costs for production due to frequent setup changes. To ensure high flexibility and robust planing, we present a self-organizing bucket architecture (SOBA) to group equal operations which require the same group technology to reduce setup times and even maintain high flexibility and robust planning for any scheduling algorithm. In this paper, we explain our approach and show an implementation of the approach in our self-organizing production. Furthermore, we show a set of empirical studies that compares our approach to simple and exhaustive queuing rules. The tests show the superiority of our approach and indicate further development opportunities.

Pages: 98 to 104

Copyright: Copyright (c) IARIA, 2020

Publication date: April 26, 2020

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-61208-781-8

Location: Nice, France

Dates: from October 25, 2020 to October 29, 2020