Optimizing machine capacity for meeting volatile demands: A simulation-based decision-making approach
This thesis aims to optimize machine capacity in food processing industry to meet volatile demands. The objectives of the study include identifying current capacity problems, constructing a simulation model to evaluate different blender capacities, validate the model and recommend the best blender c...
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| Format: | Thesis |
| Language: | en en |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/28441/1/Optimizing%20machine%20capacity%20for%20meeting%20volatile%20demands-%20A%20simulation-based%20decision-making%20approach.pdf http://eprints.utem.edu.my/id/eprint/28441/2/Optimizing%20machine%20capacity%20for%20meeting%20volatile%20demands-%20A%20simulation-based%20decision-making%20approach.pdf http://eprints.utem.edu.my/id/eprint/28441/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124290 |
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Internet
http://eprints.utem.edu.my/id/eprint/28441/1/Optimizing%20machine%20capacity%20for%20meeting%20volatile%20demands-%20A%20simulation-based%20decision-making%20approach.pdfhttp://eprints.utem.edu.my/id/eprint/28441/2/Optimizing%20machine%20capacity%20for%20meeting%20volatile%20demands-%20A%20simulation-based%20decision-making%20approach.pdf
http://eprints.utem.edu.my/id/eprint/28441/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124290