Optimizing Vehicle Utilization for Chicken Egg Logistics Management
This research attempted to solve a problem in egg collection and distribution of a case-study company in the northeast of Thailand with an aim to maximize vehicle utilization, minimize the total distance travelled by egg transport trucks, maintain egg quality, and to deliver eggs to its customers within the allowable time window. The problem was divided into two parts. The first part dealt with egg collection from farms and egg transport to a distribution center whereas the second part with egg distribution from the distribution center to the customers. A two-phased algorithm was proposed to help the company make decision to fully utilize the vehicles. In the first phase, the shortest and most appropriate routes for egg collection and distribution would be established using Dijkstra's algorithm with consideration of road conditions and traffic density. To take into account the road conditions and traffic density, four classes of roads would be considered and given different weights. In the second part, a dynamic programming based algorithm was developed to solve the multiple knapsack problem to determine types and number of trucks for optimal truck utilization. Results of this study, on comparison with the current practice of the case-study company, revealed a total cost reduction of 17.77% and a total distance reduction of 22.51%. It was also discovered that utilization of trucks increased by 11.61% for egg collection and 34.96% for egg distribution, resulting in a reduction of trucks from 46 to 40 trucks.
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Document Type: Research Article
Publication date: December 1, 2013
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