Shanghai International Port Group Co.

Shanghai, China

Shanghai International Port Group Co.

Shanghai, China
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Liang C.,Shanghai Maritime University | Fan L.,Shanghai Maritime University | Fan L.,Shanghai International Port Group Co. | Xu D.,Xi'an International University | And 2 more authors.
CIE 2016: 46th International Conferences on Computers and Industrial Engineering | Year: 2016

This paper studied the QCs scheduling problem from two aspects: QCs task dispatch and QCs quantity configuration. The QCs task dispatch problem main research the QCs handling which container tasks and the tasks handling sequence. QCs quantity configuration problem mainly studied how many numbers of QCs should be configured for the tasks. Through the analysis of the relationship between the two problems, the coupling model of two problems is established. Then, a large scale calculation example of multiple ships and mixed loading and unloading is designed, and the model is solved by using CPLEX. And the results are compared with the genetic algorithm for solving the quay crane scheduling.

Wang J.,Shanghai JiaoTong University | Yao Z.-Q.,Shanghai JiaoTong University | Bao Q.-F.,Shanghai International Port Group Co. | Sun B.,ABB | And 2 more authors.
Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and Technology (Natural Science Edition) | Year: 2010

In order to solve a series of problems such as heavy labor intensity and low system mode security and stability, the first full-automatic grab ship-unloading solution in the world was innovated. Solutions including the operation principle, the procedure and a few strategies for process optimization were detailed. Meanwhile, a comprehensive analysis compared with traditional processes was presented. After light and heavy load tests for several months, a full-automatic grab unloader was put into practice in Shanghai Luojing ore Terminal. Evaluation results prove that the system promotes the efficiency evidently, alleviates the labor intensity dramatically, and makes a powerful guarantee for the operating reliability and the security.

Duan Z.,Shanghai Maritime University | Duan Z.,Shanghai International Port Group Co. | Song B.,Shanghai Maritime University
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2016

The optimization of the machinery allocation under the double constraints of maximized efficiency for loading and unloading processes and optimal machinery usage, and the optimal configuration of bridge cranes under discrete operation modes for a single ship were instigated through modeling with the simulation software Extendsim. It was found that the real-time recording method is a more straightforward and convenient way to investigate the optimal mechanical configuration and double constraints lead to different but more reasonable results than that was obtained under the single constraint on the best mechanical configuration. Due to the discrete characteristics of the bridge crane operation, the averaging treatment has an important influence on the efficiency and such impact becomes stronger with higher discreteness. This simulation work offers valuable references for machinery configuration of container terminals. © 2016, The Editorial Board of Journal of System Simulation. All right reserved.

Liang C.,Shanghai Maritime University | Gu T.,Shanghai Maritime University | Gu T.,Shanghai International Port Group Co. | Lu B.,University of Chinese Academy of Sciences | And 2 more authors.
Computers and Industrial Engineering | Year: 2015

This study develops models and methods utilized for solving the coordination scheduling problem in the yard of a container terminal. Based on the information shared by the yard storage subsystem and the YC scheduling subsystem, and the interaction between these subsystems, a coordination scheduling model, which is composed of a storage subsystem model, a YC scheduling subsystem and a coordinate controller model, is developed. A coupling algorithm, which is based on a genetic mechanism, is developed to solve the coordination scheduling problem. The algorithm adopts the genetic selection, crossover and mutation operations to adjust the yard storage plan and the YC scheduling plan. The performance of the coordination scheduling model and that of the proposed coupling algorithm are confirmed with reference to a numerical example. © 2015 Elsevier Ltd.

Liang C.,Shanghai Maritime University | Li M.,Shanghai Maritime University | Lu B.,Dalian University | Gu T.,Shanghai International Port Group Co. | And 2 more authors.
Journal of Intelligent Manufacturing | Year: 2015

Solving the problem of allocating and scheduling quay cranes (QCs) is very important to ensure favorable port service. This work proposes a bi-criteria mixed integer programming model of the continual and dynamic arrival of several vessels at a port. A multi-objective genetic algorithm is applied to solve the problem in three cases. The results thus obtained confirm the feasibility and effectiveness of the model and GA. Additionally, the multi-objective solution considering both the total duration for which vessels stay in the port and QCs move is the best, as determined by comparing with considering only the total time for which vessels stay in the port or QCs move, as it considers, and it balances these two objectives. © 2015 Springer Science+Business Media New York

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