Cost Effectiveness Analysis on a Vehicle Dispatching Problem: A Case Study of Ready Mixed Concrete Industry

• Main Authors: Ya-Zhu Xiao, 蕭雅竹
• Other Authors: Chuang-Chun Chiou
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/00767518521570686848

碩士 === 大葉大學 === 工業工程與科技管理學系 === 95 === Ready Mixed Concrete (RMC) plays the important role in the construction industry; because it is one of the most widely used and highly demanded material in the construction industry. Form the construction site perspective; they expect the operations of the casting concrete without interruption. Another perspective from the RMC firms when many delivering requests from various construction sites arriving at the same time, they try to maximize the plant’s profits. Under this condition, the RMC firm must completes all of the RMC batch plant to prevent any delay for the the next coming period of orders. In this research, we find the dispatching schedule which minimizes the total flow time at construction sites and satisfy the requests from various construction sites. First, a model of dispatching RMC trucks based on the operation of the RMC industry is constructed. Then, we propose Genetic Algorithms (GA) and fast messy Genetic Algorithm (fmGA) to get a near optimal solution in a reasonable computation time. Finally, we address the relation between the orders and the number of trucks for fulfilling the demand from each sites and analyze the effectiveness analysis o investment on purchasing additional trucks. The experimental results can facilitate manager’s to sequence the concrete arrangements delivery to achieve a more cost-effective scheduling.