Proceedings of ICLT 2013
A multi-objective optimization of the fleet sizing problem for Thai rice exporter: a case study
Rachata Khumboon
Department of Logistics and Supply Chain Management, Thailand
International Conference on Logistics & Transport 2013, Kyoto, Japan, pp. 27-35
Download PDF | View interactive page
Abstract
This paper aims at providing the multi-objective optimization model which deals with the fleet sizing problem for a rice exporting company in Thailand. The company transports the rice from Northern area to Bangkok seaport with the distance of 300 km. The fleet sizing decision is made based on three objectives including 1) minimizing total fleet cost, 2) minimizing total environmental impact, and 3) maximizing the customer satisfaction (demand) simultaneously. The time uncertainty of unloading process at the seaport is considered as a primary factor to determine fleet size. The methodology consists of 3 main steps. In the first step, the decision problem is formulated as a multi-objective, integer, non-linear programming minimised simultaneously. The number of truck in the fleet is the finding variable. In the second step, the significant data is collected from the company who collect the rice from local area and transport them to the seaport. The data of unloading process at the seaport is also collected to identify the total travelling time of the truck. In the last step, the model is verified and validated using the collected data from company.
Keywords
Fleet sizing; Multi-objective optimization; Time uncertainty of unloading process
Citation
Rachata Khumboon (2013). A multi-objective optimization of the fleet sizing problem for Thai rice exporter: a case study. Proceedings of the International Conference on Logistics & Transport (ICLT 2013), Kyoto, Japan, pp. 27-35.