A simulation-based study of scheduling policies to improve the factory performance
This project aims to study the effects of open-loop and closed loop job release policies and dispatching rules in an electrical appliance company in Singapore. While maintaining the throughput at the required level with high utilization rate, the project aims to reduce the work-in-process inventory...
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sg-ntu-dr.10356-606032020-11-01T11:33:05Z A simulation-based study of scheduling policies to improve the factory performance Li, Meng Appa Iyer Sivakumar School of Mechanical and Aerospace Engineering Philips Domestic Appliance and Personal Care Singapore (DAP) Singapore-MIT Alliance Programme DRNTU::Engineering::Manufacturing This project aims to study the effects of open-loop and closed loop job release policies and dispatching rules in an electrical appliance company in Singapore. While maintaining the throughput at the required level with high utilization rate, the project aims to reduce the work-in-process inventory level, as well as to reduce average cycle time, cycle time standard deviation and thus system variability. The developed models and solution methods are validated using actual production data and the results are compared among each other and against the current performance. Master of Science (IMST) 2014-05-29T02:23:21Z 2014-05-29T02:23:21Z 2007 2007 Thesis http://hdl.handle.net/10356/60603 en 75 p. application/pdf |
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DRNTU::Engineering::Manufacturing Li, Meng A simulation-based study of scheduling policies to improve the factory performance |
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This project aims to study the effects of open-loop and closed loop job release policies and dispatching rules in an electrical appliance company in Singapore. While maintaining the throughput at the required level with high utilization rate, the project aims to reduce the work-in-process inventory level, as well as to reduce average cycle time, cycle time standard deviation and thus system variability. The developed models and solution methods are validated using actual production data and the results are compared among each other and against the current performance. |
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Appa Iyer Sivakumar |
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Appa Iyer Sivakumar Li, Meng |
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Theses and Dissertations |
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Li, Meng |
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Li, Meng |
title |
A simulation-based study of scheduling policies to improve the factory performance |
title_short |
A simulation-based study of scheduling policies to improve the factory performance |
title_full |
A simulation-based study of scheduling policies to improve the factory performance |
title_fullStr |
A simulation-based study of scheduling policies to improve the factory performance |
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A simulation-based study of scheduling policies to improve the factory performance |
title_sort |
simulation-based study of scheduling policies to improve the factory performance |
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2014 |
url |
http://hdl.handle.net/10356/60603 |
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1688665509623496704 |