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Improving the Material Flow of a Manufacturing Company via Lean, Simulation and Optimization
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 EngineeringJönköping University, Sweden. (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: 0000-0003-4180-6003
Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.ORCID iD: 0000-0001-5100-4077
2017 (English)In: Proceedings of the International Conference on Industrial Engineering and Engineering Management, IEEM2017, IEEE, 2017, p. 1245-1250Conference paper, Published paper (Refereed)
Abstract [en]

Companies are continuously working towards system and process improvement to remain competitive in aglobal market. There are different methods that support companies in the achievement of that goal. This paper presents an innovative process that combines lean, simulation and optimization to improve the material flow of a manufacturing company. A description of each step of the process details the lean tools and principles taken into account, as well as the results achieved by the application of simulation and optimization.The project resulted in an improved layout and material flow that employs an automated guided vehicle. In addition, lean wastes related to transport, inventory levels as well as waiting times were reduced. The utilization of the process that combines lean, simulation and optimization was considered valuable for the success of the project.

Place, publisher, year, edition, pages
IEEE, 2017. p. 1245-1250
Series
IEEE International Conference on Industrial Engineering and Engineering Management, E-ISSN 2157-362X
Keywords [en]
Application study, lean, manufacturing, optimization, simulation, simulation-based optimization
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-14688DOI: 10.1109/IEEM.2017.8290092ISI: 000428267800254Scopus ID: 2-s2.0-85045254668ISBN: 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-14688DiVA, id: diva2:1177369
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: 2018-07-23Bibliographically approved

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Goienetxea Uriarte, AinhoaNg, Amos H. C.Ruiz Zúñiga, EnriqueUrenda Moris, Matías

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Goienetxea Uriarte, AinhoaNg, Amos H. C.Ruiz Zúñiga, EnriqueUrenda Moris, Matías
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