Study On Key Resources Scheduling Of Container Terminal For Energy-efficiency Operation

Container terminal operation involves the scheduling of all kinds ofresources, which include berth, quay crane, yard, yard crane, etc. Theseresources refer to all handling processes: loading, discharging, containergate-in, lading and CY transfer, the above-mentioned are core resources ofcontainer terminal. The operational process is not only the major activity thatcreates value but also the activity that can lead to energy consumption andenvironmental protection. This paper takes container terminal as researchtarget, with core resources and energy efficiency as constraints,informationized and intelligentized technology as approach, then we propose―Study on key resource scheduling of container terminal for energy-efficiencyoperation‖to eventually result in the objective of minimization of energyconsumption on the basis of high efficiency. The major research contents aresummarized as follows:1. We elaborate and analyze two crucial problems in container terminalmanagement: energy-efficiency operation and key resources scheduling, thenthe theoretical framework of energy-efficiency operation system in containerterminal is established. On this basis, we adopt the theory of qualitativeclassification to analyze energy efficiency relation of core resourcesscheduling of container terminal, the analysis includes three aspects of energyefficiency characters: acquisition, representation and evaluation, andmoreover we provide mathematic model to calculate energy efficiency of coreresources scheduling in container terminal. Afterwards, the mathematicframework model to optimize the decision of energy-efficiency operation iscarried out, and then we set up objectives set, decision variables set and constraints set of container terminal’s key resources scheduling, meanwhilethe mapping relationship among them is analyzed. Finally, we build up thearchitecture of key resource scheduling of container terminal forenergy-efficiency operation, and it is regarded as theoretical basis of specificdecision model in following chapters.2. We analyze the berth and quay crane scheduling problem is firstlyanalyzed. A dynamic scheduling model using objective programming forberth and quay crane scheduling was preliminarily developed based onrolling-horizon approach. This was aimed at minimizing the berthing locationdeviation, total penalty and energy consumption of quay cranes. Afterwards, ahybrid parallel genetic algorithm (HPGA), which combined parallel geneticalgorithm (PGA) and heuristic algorithm, was employed to resolve theproposed model. Furthermore, a simulation was conducted to evaluate theHPGA and to execute relevant gene repair techniques.3. We analyze the problem of yard scheduling and put forwardmulti-phases optimization model considering two layers: block schedulingand bay scheduling. Next, the parallel hybrid genetic algorithm is adopted tosolve yard scheduling model, the algorithm can be mainly concluded asfollows: firstly, range of feasible answers is obtained from heuristics rule;secondly, we evaluate the feasible answers and carry out genetic processingwith the usage of parallel genetic algorithm. In the end, we gain optimalsolution.4. We analyze the problem of yard crane scheduling, and propose a noveldynamic rolling-horizon decision strategy was proposed for yard cranescheduling in this study. Initially, an integer programming model wasestablished to minimize the total task delaying at blocks. Due to thecomputational scale with regard to the yard crane scheduling problem, aheuristic algorithm, along with a simulation model, was then applied. In thisfashion, the simulation model was next investigated to alternate the periodsand evaluate the task delaying. Subsequently, a genetic algorithm wasemployed to optimize the initial solutions generated. 5. On basis of architecture, mathematical models and algorithms of keyresources energy-efficiency scheduling in container terminal, we construct aseries of prototype scheduling system, and embed corresponding model andcalculation method into this system. At the same time, the simulatedevaluation module is integrated into the system and evaluating criteria isgiven for scientific evaluation of terminal’s key resources scheduling. Then acertain container terminal in Tianjin port is taken as an object, by means ofsimulation, we conduct the comparison between two scheduling proposals----real key resources scheduling and energy-efficiency scheduling. Experimentsverify the effectiveness and efficiency of the proposed theoretical models andalgorithms.The research achievement of this dissertation can help to improveterminals’operational level and offer evidence for low carbon production.Additionally, it enables the development of energy-efficiency operation inother logistics field, which is typical of theoretical and methodologicalreference. The research is also useful for technology-integrated methodologydeveloped for energy-efficiency scheduling and meanfuling to the solution ofoptimizational problem of such complex system. In our work,multi-objectives operation of container terminal is provied to solvecomplicated and current problem, which exerts significant guidance onterminals’practical production.