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Huang, X.L.; Ren, Y.T.; Zhang, J.A.; Wang, D., and Liu, J.P., 2020. Dynamic scheduling optimization of marine oil spill emergency resource. In: Qiu, Y.; Zhu, H., and Fang, X. (eds.), Current Advancements in Marine and Coastal Research for Technological and Sociological Applications. Journal of Coastal Research, Special Issue No. 107, pp. 437-442. Coconut Creek (Florida), ISSN 0749-0208.With the increasing development of marine resources development and marine transportation, oil spill has become one of the main threats to marine ecological environment. Considering that the oil film has the characteristics of drift, this paper studies the oil spill emergency material scheduling problem with multiple oil films. Firstly, the position of oil film drifting with time under the influence of sea condition is calculated. Secondly, aiming at the shortest scheduling time and the lowest cost, the dynamic scheduling optimization model of oil spill emergency materials is constructed. The maximum threshold of emergency dispatch time is introduced to transform the model, and MPSO algorithm is designed to solve the model. The results show that the emergency materials can be transported to the accident site within the prescribed time, thus preventing the continuous diffusion of pollution. At the same time, it can avoid unnecessary waste and reduce economic loss. And it can provide the theoretical support for the decision-maker to make the emergency material dispatch plan.

Huang, X.L.; Zhang, J.A.; Ren, Y.T.; Dai, X.M., and Wang, Y.W., 2020. Utilizing port yard resources to optimize iron ore supply-chain cost based on “port before factory.” In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 498–501. Coconut Creek (Florida), ISSN 0749-0208.As a large steel-producing country, China has become the world's largest consumption market of imported iron ore, driving the continuous growth of cargo throughput of China's ports. How can the Port-Steel enterprises in the supply chain optimize the allocation of land resources of the port and material resources of the Port-Steel enterprise to reduce the increased supply-chain costs due to the import of iron ore and achieve win–win of Port-Steel? Considering the batch distribution of iron ore demand, this paper constructs the just-in-time batch model under cooperation and noncooperation. The economic order quantity and single optimal unloading quantity under the two situations are obtained. Then the paper compares the changes of respective cost of Port-Steel and the total supply chain. The results show that under the condition of cooperation, the total supply-chain cost is lower. Through the redistribution of benefit compensation, the two sides can achieve win–win and the operation cost of the port is reduced while the inventory cost of the steel enterprise is also optimized.

Huang, X.-L.; Dai, X.-M.; Luo, Y.-Z., and Wang, Y.-W., 2019. Design of container terminal handling system based on index forecast and economic evaluation. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 377–384. Coconut Creek (Florida), ISSN 0749-0208.The construction of a container terminal is a large and long-period investment, and its planning and design involve many factors such as technology, economy and social environment. At the same time, the handling system of a container terminal is a complex discrete dynamic system. Therefore, the design of a container terminal is a complex process requiring repeated modification from proposing alternative schemes to evaluating and optimizing schemes. Modelling and simulation technology can realize the evaluation of various schemes and the determination of the optimal scheme without real operation. Therefore, in order to design the handling system of a container terminal systematically and scientifically to reduce cost and risk, this paper first proposes a comprehensive forecast model to forecast the throughput of a container terminal, and puts forward two handling technology schemes. And then, configuration model of key machinery resources is constructed, and detailed schemes are obtained through simulation experiments with the actual data of container terminal A. Finally, economic evaluation is carried out to examine the financial feasibility and economic rationality of the schemes.