Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry
This paper aims to investigate the optimal sorting of orders reflecting on the material changing lead time over the machines in the roofing manufacturing industry. Specifically, a number of jobs were sorted together based on the material used and then consolidated for subsequent processes, i.e., ass...
| Main Authors: | , , , , , |
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| Format: | Article |
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Molecular Diversity Preservation International (MDPI)
2022
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| Online Access: | http://eprints.intimal.edu.my/1655/ |
| _version_ | 1848766797747060736 |
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| author | Ching, Samuel, Xin Ren Jun, Kit Chaw Lim, Yee Mei Lee, Wah Pheng Ting, Tin Tin Fong, Cheng Weng |
| author_facet | Ching, Samuel, Xin Ren Jun, Kit Chaw Lim, Yee Mei Lee, Wah Pheng Ting, Tin Tin Fong, Cheng Weng |
| author_sort | Ching, Samuel, Xin Ren |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | This paper aims to investigate the optimal sorting of orders reflecting on the material changing lead time over the machines in the roofing manufacturing industry. Specifically, a number of jobs were sorted together based on the material used and then consolidated for subsequent processes, i.e., assigned to the corresponding machines. To achieve the optimal sorting for the received orders, a combinatorial dispatch rule was proposed, which were Earliest Due Date (EDD), First In First Out (FIFO), and Shortest Processing Time (SPT). The sequence of orders organized by the scheduling algorithm was able to minimize the changing material lead time and also maximize the number of orders to be scheduled in the production. Consequently, on-time delivery could be achieved. Tests based on real data have been set up to evaluate the performance of the proposed algorithm in sorting the received orders. As a result, the proposed algorithm has successfully reduced the material changing lead time by 47.3% and 40% in the first and second tests, respectively. |
| first_indexed | 2025-11-14T11:56:51Z |
| format | Article |
| id | intimal-1655 |
| institution | INTI International University |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:56:51Z |
| publishDate | 2022 |
| publisher | Molecular Diversity Preservation International (MDPI) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-16552022-08-22T08:23:27Z http://eprints.intimal.edu.my/1655/ Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry Ching, Samuel, Xin Ren Jun, Kit Chaw Lim, Yee Mei Lee, Wah Pheng Ting, Tin Tin Fong, Cheng Weng T Technology (General) TA Engineering (General). Civil engineering (General) TS Manufactures This paper aims to investigate the optimal sorting of orders reflecting on the material changing lead time over the machines in the roofing manufacturing industry. Specifically, a number of jobs were sorted together based on the material used and then consolidated for subsequent processes, i.e., assigned to the corresponding machines. To achieve the optimal sorting for the received orders, a combinatorial dispatch rule was proposed, which were Earliest Due Date (EDD), First In First Out (FIFO), and Shortest Processing Time (SPT). The sequence of orders organized by the scheduling algorithm was able to minimize the changing material lead time and also maximize the number of orders to be scheduled in the production. Consequently, on-time delivery could be achieved. Tests based on real data have been set up to evaluate the performance of the proposed algorithm in sorting the received orders. As a result, the proposed algorithm has successfully reduced the material changing lead time by 47.3% and 40% in the first and second tests, respectively. Molecular Diversity Preservation International (MDPI) 2022-06-27 Article PeerReviewed Ching, Samuel, Xin Ren and Jun, Kit Chaw and Lim, Yee Mei and Lee, Wah Pheng and Ting, Tin Tin and Fong, Cheng Weng (2022) Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry. Applied Sciences, 12 (13). ISSN 2076-3417 https://doi.org/10.3390/app12136499 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TS Manufactures Ching, Samuel, Xin Ren Jun, Kit Chaw Lim, Yee Mei Lee, Wah Pheng Ting, Tin Tin Fong, Cheng Weng Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry |
| title | Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry |
| title_full | Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry |
| title_fullStr | Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry |
| title_full_unstemmed | Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry |
| title_short | Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry |
| title_sort | intelligent manufacturing planning system using dispatch rules: a case study in roofing manufacturing industry |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TS Manufactures |
| url | http://eprints.intimal.edu.my/1655/ http://eprints.intimal.edu.my/1655/ |