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Lean, Simulation and Optimization: A maturity model
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. Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-0111-1776
Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.ORCID iD: 0000-0001-5100-4077
Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
2017 (English)In: Proceedings of the International Conference on Industrial Engineering and Engineering Management, IEEM2017, IEEE, 2017, p. 1310-1315Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a maturity model that can be applied to support organizations in identifying their current state and guiding their further development with regard to lean, simulation and optimization. The paper identifies and describes different maturity levels and offers guidelines that explain how organizations can grow from lower to higher levels of maturity. In addition, it attempts to provide the starting point for organizations that have applied lean or are willing to implement it and which may also be considering taking decisions in a more efficient way via simulation and optimization.

Place, publisher, year, edition, pages
IEEE, 2017. p. 1310-1315
Series
IEEE International Conference on Industrial Engineering and Engineering Management, E-ISSN 2157-362X
Keywords [en]
Decision-making, lean, maturity model, optimization, organizational performance, simulation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-14687DOI: 10.1109/IEEM.2017.8290105ISI: 000428267800267Scopus ID: 2-s2.0-85045271642ISBN: 978-1-5386-0948-4 (electronic)ISBN: 978-1-5386-0947-7 (electronic)ISBN: 978-1-5386-0949-1 (print)OAI: oai:DiVA.org:his-14687DiVA, id: diva2:1177362
Conference
2017 International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, December 10-13, 2017
Available from: 2018-01-25 Created: 2018-01-25 Last updated: 2018-04-25Bibliographically approved

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Goienetxea Uriarte, AinhoaNg, Amos H. C.Urenda Moris, Matias

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Citation style
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Output format
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