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|Osaka University, Japan|
|Keynote: J Pet Environ Biotechnol|
|The global logistics strategy is driven by the new economic structure. Oil is considered as one of the most consumed energy resource in Japan. Due to lack of the domestic resource, Japan was the second-largest importer of oil in the world after the United States in 2009. This country is primarily dependent on the Middle East for its oil imports, as roughly 80 percent of Japanese crude oil imports originate in the region up from 70 percent in the mid-1980. In this paper, we propose an optimization approach to solve the international crude oil transportation problem. In order to increase the efficiency, the assignment, the sequence and the loading volume of demands should be optimized simultaneously. In many practical situations, these decisions are executed manually by the negotiation between the human operators based on the contract with suppliers individually. In order to help the decision of human operators, the automatic generation of the practical ship scheduling is highly required to avoid the human errors and increase the efficiency of decision making. In this paper, we present matheuristics application to propose a solution approach to the international crude oil transportation problem based on a real loading planning case in Japanese oil industry. A column generation approach together with partial optimization metaheuristics under special intensification conditions is proposed to solve the problem efficiently. Computational results demonstrate the effectiveness of the proposed method.|
Tatsushi Nishi received the BS degree in Chemical Engineering from Kyoto University, Kyoto, Japan and PhD degree in Process Systems Engineering from Kyoto University, Kyoto, Japan. He became a Research Associate with the Department of Electrical and Electronic Engineering at Okayama University, Okayama, Japan. Currently, he is an Associate Professor with the Department of Mathematical Science for Social Systems, Graduate School of Engineering Science at Osaka University, Japan. His research interests include discrete optimization, discrete event systems, production scheduling, decentralized optimization algorithms, supply chain optimization, multiple mobile robots control and manufacturing systems. He has authored or coauthored more than 100 technical publications. He has won several awards including National Instruments Corporation Young Investigator Award from the 2006 International Symposium on Flexible Automation; 2014, 2015 Outstanding Paper award from the IEEE International Conference on Industrial Engineering and Engineering Management.
Email: [email protected]
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