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What Does Multi-Objective Optimization Have to Do with Bottleneck Improvement of Production Systems?
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Volvo Car Corporation, Sweden. (Produktion och Automatiseringsteknik, Production and Automation Engineering)
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Volvo Car Corporation, Sweden. (Produktion och Automatiseringsteknik, Production and Automation Engineering)
2014 (English)In: Proceedings of The 6th International Swedish Production Symposium 2014 / [ed] Johan Stahre, Björn Johansson & Mats Björkman, 2014Conference paper, Published paper (Refereed)
Abstract [en]

Bottleneck is a common term used to describe the process/operation/person that constrains the performance of the whole system. Since Goldratt introduced his theory of constraint, not many will argue about the importance of identifying and then improving the bottleneck, in order to improve the performance of the entire system. Nevertheless, there exist various definitions of bottleneck, which make bottleneck identification and improvement not a straightforward task in practice. The theory introduced by Production Systems Engineering (PSE) that the bottleneck of a production line is where the infinitesimal improvement can lead to the largest improvement of the average throughput, has provided an inspirational and rigorous way to understand the nature of bottleneck. This is because it conceptually puts bottleneck identification and improvement into a single task. Nevertheless, it is said that a procedure to evaluate how the efficiency increase of each machine would affect the total performance of a line is hardly possible in most practical situations. But is this true?In this paper, we argue how multi-objective optimization fits nicely into the theory introduced by PSE and hence how it can be developed into a practical bottleneck improvement methodology. Numerical results from a real-world application study on a highly complex machining line are provided to justify the practical applicability of this new methodology.

Place, publisher, year, edition, pages
2014.
Keyword [en]
Bottleneck Improvement, Production System Simulation, Multi-objective Optimization, Data Mining
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-10359ISBN: 978-91-980974-1-2 OAI: oai:DiVA.org:his-10359DiVA: diva2:769672
Conference
The 6th International Swedish Production Symposium 2014, Gothenburg, September 16 – September 18
Funder
Knowledge Foundation
Available from: 2014-12-08 Created: 2014-12-08 Last updated: 2017-11-27Bibliographically approved

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Ng, Amos H. C.Bernedixen, JacobPehrsson, Leif

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