Change search
ReferencesLink to record
Permanent link

Direct link
A simulation-based multi-objective optimization approach for production and logistics considering the production layout
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
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: 0000-0003-3973-3394
2016 (English)Conference paper (Refereed)
Abstract [en]

Manufacturing sectors in Sweden have a long tradition and represent a significant share of the national gross domestic product and the export values. Most of the Swedish manufacturing companies have gone through a modernization and adaptation process in order to be able to compete on a globalized market. Many plants, however, still have non-optimized shop floors as a consequence of the shop floors being adapted over time without redesigning its production and logistics flows and with a lack of an overall strategy. To support the optimization of shop floors, this paper suggests the combined use of Discrete-Event Simulation and Simulation-Based Multi-objective Optimization. The aim of the paper is to analyze a simulation methodology that supports the optimization of shop floors by considering production and logistics flows along with the shop floor layout. The methodology is intended to contribute to significantly increase the productivity and efficiency of the Swedish manufacturing industry and help companies to survive on the globalized market. Through a case study, the paper shows that the proposed methodology is useful in practice and that it provides a decision support system for manufacturing companies.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Simulation-based optimization, mix-model production, logistics, layout
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Other Engineering and Technologies not elsewhere specified
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-13085OAI: oai:DiVA.org:his-13085DiVA: diva2:1045491
Conference
7th Swedish Production Symposium, Lund, Sweden, October 25-27, 2016
Funder
Knowledge Foundation
Available from: 2016-11-09 Created: 2016-11-09 Last updated: 2016-11-14Bibliographically approved

Open Access in DiVA

fulltext(278 kB)33 downloads
File information
File name FULLTEXT01.pdfFile size 278 kBChecksum SHA-512
942d40050200ed29cb824dc7bd5c6abcf6c2cf8b9981d0c47755657a66cb7d1701b3f813b5e0b57fc1f5e6c4c69a8bf9dcc287899e6d8711f6125788b4f53838
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Ruiz Zúñiga, EnriqueUrenda Moris, MatiasSyberfeldt, Anna
By organisation
School of Engineering ScienceThe Virtual Systems Research Centre
Other Electrical Engineering, Electronic Engineering, Information EngineeringOther Engineering and Technologies not elsewhere specified

Search outside of DiVA

GoogleGoogle Scholar
Total: 33 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 69 hits
ReferencesLink to record
Permanent link

Direct link