ThaiScience
ThaiScience
ENGINEERING JOURNAL CHIANG MAI UNIVERSITY
Volume 25, No. 02, Month AUGUST, Year 2018, Pages 203 - 216
Application of genetic algorithm for scheduling and dispatching of ready mixed concrete truck: a case study of ready mixed concrete company
Chudeth Prasanwon, Punnamee Sachakamol and Ailada Treeattrakoon
Abstract Download PDF
This paper investigates the scheduling system for transporting Ready-Mixed Concrete (RMC). The company in case study previously relies only on experiences and resulted in ineffective and inappropriate outcome. In this study, we aimed to improve the approach for schedule arrangement of Ready-Mixed Concrete transportation sequence using two procedures: a) First-Come First-Served (FCFS) and genetic algorithm of single plant methods (GA+SP), and b) the application of genetic algorithm of multi plant method (GA+MP). The total waiting time of RMC truck at the construction sites (TWC), the number of interruption, and the total cost from both TWC and the number of interruption were the indicators to measure the system efficiency. According to the outcome of Case Study, the new system were improved by application of genetic algorithm of single plant methods (GA+SP) that were decreased in the TWC, the number of interruption penalties, and total cost from the interruption and penalties with the value of 15.63%, 18.5% and 31.38% respectively. For the results by genetic algorithm of multi plant method (GA+MP) gave the result in TWC increasing from Uniform Probability Distribution arrangement with 49.5%, but decreased in both the number of interruption and total cost with the value of 2.63% and 60.93% respectively.
Keywords
NoneENGINEERING JOURNAL CHIANG MAI UNIVERSITY
Published by : Faculty of Engineering Chiang Mai University
Contributions welcome at : http://researchs.eng.cmu.ac.th/?name=journal
