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Barrera Diaz, Carlos AlbertoORCID iD iconorcid.org/0000-0003-3541-9330
Publications (2 of 2) Show all publications
Barrera Diaz, C. A., Oscarsson, J., Lidberg, S. & Sellgren, T. (2018). Discrete Event Simulation Output Data-Handling System in an Automotive Manufacturing Plant. Paper presented at 8th Swedish Production Symposium, SPS 2018, Stockholm, Sweden, May 16-18, 2018. Procedia Manufacturing, 25, 23-30
Open this publication in new window or tab >>Discrete Event Simulation Output Data-Handling System in an Automotive Manufacturing Plant
2018 (English)In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 25, p. 8p. 23-30Article in journal (Refereed) Published
Abstract [en]

Discrete Event Simulation is a comprehensive tool for the analysis and design of manufacturing systems. Over the years, considerable efforts to improve simulation processes have been made. One step in these efforts is the standardisation of the output data through the development of an appropriate system which presents the results in a standardised way. This paper presents the results of a survey based on simulation projects undertaken in the automotive industry. In addition, it presents the implementation of an automated output data-handling system which aims to simplify the project’s documentation task for the simulation engineers and make the results more accessible for other stakeholders.

Place, publisher, year, edition, pages
Elsevier, 2018. p. 8
Keywords
Discrete Event Simulation, Manufacturing, Output Data-Handling System
National Category
Engineering and Technology Computer Systems
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15493 (URN)10.1016/j.promfg.2018.06.053 (DOI)
Conference
8th Swedish Production Symposium, SPS 2018, Stockholm, Sweden, May 16-18, 2018
Available from: 2018-06-11 Created: 2018-06-11 Last updated: 2018-10-31Bibliographically approved
Barrera Diaz, C. A., Oscarsson, J., Lidberg, S. & Sellgren, T. (2017). A Study of Discrete Event Simulation Project Data and Provenance Information Management in an Automotive Manufacturing Plant. In: W. K. V. Chan, A. D’Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, E. Page (Ed.), Proceedings of the 2017 Winter Simulation Conference: . Paper presented at 2017 Winter Simulation Conference, Las Vegas, December 3-6, 2017 (pp. 4012-4023). IEEE
Open this publication in new window or tab >>A Study of Discrete Event Simulation Project Data and Provenance Information Management in an Automotive Manufacturing Plant
2017 (English)In: Proceedings of the 2017 Winter Simulation Conference / [ed] W. K. V. Chan, A. D’Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, E. Page, IEEE, 2017, , p. 12p. 4012-4023Conference paper, Published paper (Refereed)
Abstract [en]

Discrete Event Simulation (DES) project data management is a complex and important engineering activity which impacts on an organization’s efficiency. This efficiency could be decreased by the lack of provenance information or the unreliability of existing information regarding previous simulation projects, all of which complicates the reusability of the existing data. This study presents an analysis of the management of simulation projects and their provenance data, according to the different types of scenarios usually found at a manufacturing plant. A survey based on simulation projects at an automotive manufacturing plant was conducted, in order to categorize the information regarding the studied projects, map the available provenance data and standardize its management. This study also introduces an approach that demonstrates how a structured framework based on the specific data involved in the different types of scenarios could allow an improvement of the management of DES projects.

Place, publisher, year, edition, pages
IEEE, 2017. p. 12
Series
Winter Simulation Conference (WSC), E-ISSN 1558-4305 ; 2017
National Category
Engineering and Technology Communication Systems Control Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering; INF201 Virtual Production Development
Identifiers
urn:nbn:se:his:diva-14579 (URN)10.1109/WSC.2017.8248110 (DOI)000427768604020 ()2-s2.0-85044506370 (Scopus ID)978-1-5386-3428-8 (ISBN)978-1-5386-3429-5 (ISBN)978-1-5386-3430-1 (ISBN)
Conference
2017 Winter Simulation Conference, Las Vegas, December 3-6, 2017
Available from: 2017-12-14 Created: 2017-12-14 Last updated: 2019-01-24Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3541-9330

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