Distributed simulation with direct database access for job-shop scheduling
The shortcomings of traditional simulation are mainly due to limitation in model size, difficulty in obtaining accurate and timely data, long modelling cycle, lack of integration capability, and slow speed. Due to the different conditions under which simulation-based scheduling operates, these short...
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sg-ntu-dr.10356-205372020-09-26T22:13:18Z Distributed simulation with direct database access for job-shop scheduling Koh, Kwang Hang. Lee, Siang Guan Stephen Gintic Institute of Manufacturing Technology DRNTU::Engineering::Manufacturing::Production management The shortcomings of traditional simulation are mainly due to limitation in model size, difficulty in obtaining accurate and timely data, long modelling cycle, lack of integration capability, and slow speed. Due to the different conditions under which simulation-based scheduling operates, these shortcomings have become more critical, especially when the system being modelled is large. In this research the simulation cycle is re-engineered using a novel 'direct database-simulation' (DDS) approach. This DDS approach simplifies the simulation modelling process, shortens the simulation cycle and provides the ability to update the simulation model automatically. The key to simplifying and automating the simulation cycle is to use the production relational database model of the job-shop as the simulation model itself. Doctor of Philosophy (GINTIC) 2009-12-15T03:17:26Z 2009-12-15T03:17:26Z 1996 1996 Thesis http://hdl.handle.net/10356/20537 en NANYANG TECHNOLOGICAL UNIVERSITY 313 p. application/pdf |
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DRNTU::Engineering::Manufacturing::Production management Koh, Kwang Hang. Distributed simulation with direct database access for job-shop scheduling |
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The shortcomings of traditional simulation are mainly due to limitation in model size, difficulty in obtaining accurate and timely data, long modelling cycle, lack of integration capability, and slow speed. Due to the different conditions under which simulation-based scheduling operates, these shortcomings have become more critical, especially when the system being modelled is large. In this research the simulation cycle is re-engineered using a novel 'direct database-simulation' (DDS) approach. This DDS approach simplifies the simulation modelling process, shortens the simulation cycle and provides the ability to update the simulation model automatically. The key to simplifying and automating the simulation cycle is to use the production relational database model of the job-shop as the simulation model itself. |
author2 |
Lee, Siang Guan Stephen |
author_facet |
Lee, Siang Guan Stephen Koh, Kwang Hang. |
format |
Theses and Dissertations |
author |
Koh, Kwang Hang. |
author_sort |
Koh, Kwang Hang. |
title |
Distributed simulation with direct database access for job-shop scheduling |
title_short |
Distributed simulation with direct database access for job-shop scheduling |
title_full |
Distributed simulation with direct database access for job-shop scheduling |
title_fullStr |
Distributed simulation with direct database access for job-shop scheduling |
title_full_unstemmed |
Distributed simulation with direct database access for job-shop scheduling |
title_sort |
distributed simulation with direct database access for job-shop scheduling |
publishDate |
2009 |
url |
http://hdl.handle.net/10356/20537 |
_version_ |
1681058142548393984 |