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Optimizing Scheduling of Ready-Mixed Concrete Trucks from Multiple Plants Using Whale Optimization Algorithm |
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| รหัสดีโอไอ | |
| Creator | Kittipong Thawongklang |
| Title | Optimizing Scheduling of Ready-Mixed Concrete Trucks from Multiple Plants Using Whale Optimization Algorithm |
| Contributor | Ladda Tanwanichkul, Voravee Punyakum |
| Publisher | Faculty of Engineering Mahasasakham University |
| Publication Year | 2568 |
| Journal Title | Engineering Access |
| Journal Vol. | 11 |
| Journal No. | 2 |
| Page no. | 206-212 |
| Keyword | Ready-mixed concrete (RMC), Scheduling efficiency, Dispatching schedule, Whale optimization algorithm (WOA), Concrete waiting time |
| URL Website | https://ph02.tci-thaijo.org/index.php/mijet/index |
| Website title | THAIJO Engineering Access |
| ISSN | 2730-4175 |
| Abstract | Concrete plants face a challenging scheduling problem, as concrete from multiple plants must be efficiently delivered to various construction sites using different fleets of vehicles. This logistical challenge requires optimizing the dispatching schedules of ready-mixed concrete (RMC) plants. Using proprietary urban traffic data from Udornthani, a major city in Northeastern Thailand, this research aimed to identify the most suitable algorithm for optimizing the dispatching schedule under multi-plant and multi-site operations, using concrete waiting time as a key performance indicator. The study compared simulation results with current practices to analyze factors influencing dispatch efficiency, particularly focusing on trucks. Heuristic techniques, which offer quick solutions using simple rules, were employed. The Whale Optimization Algorithm (WOA) was selected for its high efficiency in solving complex problems. Results showed a significant reduction in median waiting times, from 17 minutes to zero, with a p-value < 0.001. WOA improved scheduling efficiency by reducing waiting times by 40-100%, outperforming the manual calculations performed by dispatch officers. |
