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Improving the material flow of a manufacturing company via lean, simulation and optimization
Production and Automation Engineering Division, School of Engineering Science, University of Skövde, Sweden.
Jönköping University, School of Engineering, JTH, Industrial Engineering and Management. Production and Automation Engineering Division, School of Engineering Science, University of Skövde, Sweden.
Production and Automation Engineering Division, School of Engineering Science, University of Skövde, Sweden.
Jönköping University, School of Engineering, JTH, Industrial Engineering and Management.
2017 (English)In: IEEE International Conference on Industrial Engineering and Engineering Management, IEEE, 2017, p. 1245-1250Conference paper, Published paper (Refereed)
Abstract [en]

Companies are continuously working towards system and process improvement to remain competitive in a global 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
Keywords [en]
Application study, lean, manufacturing, optimization, simulation, simulation-based optimization, Automatic guided vehicles, International trade, Manufacture, Application studies, Automated guided vehicles, Manufacturing companies, Process Improvement, Simulation and optimization, Simulation-based optimizations, Lean production
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-39302DOI: 10.1109/IEEM.2017.8290092ISI: 000428267800254Scopus ID: 2-s2.0-85045254668ISBN: 9781538609484 (print)OAI: oai:DiVA.org:hj-39302DiVA, id: diva2:1202575
Conference
2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017, Singapore, 10 - 13 December 2017
Available from: 2018-04-27 Created: 2018-04-27 Last updated: 2018-09-11Bibliographically approved

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Ng, Amos H. C.

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf