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Lean, Simulation and Optimization: A Win-Win combination
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-4604-6429
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-5100-4077
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. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-9690-890X
2016 (English)In: Proceedings of the 2015 Winter Simulation Conference / [ed] L. Yilmaz, W. K. V. Chan, I. Moon, T. M. K. Roeder, C. Macal, and M. D. Rossetti, Piscataway, New Jersey: IEEE Computer Society, 2016, 2227-2238 p.Conference paper (Refereed)
Abstract [en]

Lean and simulation analysis are driven by the same objective, how to better design and improve processes making the companies more competitive. The adoption of lean has been widely spread in companies from public to private sectors and simulation is nowadays becoming more and more popular. Several authors have pointed out the benefits of combining simulation and lean, however, they are still rarely used together in practice. Optimization as an additional technique to this combination is even a more powerful approach especially when designing and improving complex processes with multiple conflicting objectives. This paper presents the mutual benefits that are gained when combining lean, simulation and optimization and how they overcome each other´s limitations. A framework including the three concepts, some of the barriers for its implementation and a real-world industrial example are also described.

Place, publisher, year, edition, pages
Piscataway, New Jersey: IEEE Computer Society, 2016. 2227-2238 p.
Series
Proceedings - Winter Simulation Conference, ISSN 0891-7736 ; 2016
Keyword [en]
Lean, Simulation, Optimization, Decision making
National Category
Production Engineering, Human Work Science and Ergonomics Computer Systems
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-11766DOI: 10.1109/WSC.2015.7408335ScopusID: 2-s2.0-84962838930ISBN: 978-1-4673-9743-8 OAI: oai:DiVA.org:his-11766DiVA: diva2:884931
Conference
2015 Winter Simulation Conference, December 6-9, Huntington Beach, California, USA
Projects
Simulation-based Multi-objective Optimization for Lean production and logistic Networks
Funder
Knowledge Foundation
Available from: 2015-12-17 Created: 2015-12-17 Last updated: 2016-10-20Bibliographically approved

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