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面向短周期作业计划的煤炭码头物流系统预演优化研究

发布时间:2019-01-17 19:43
【摘要】:随着现代专业化煤炭码头规模的扩大和装卸工艺的改进,以及客户需求的多样化,码头生产组织越来越复杂,而以往凭借经验制定并执行作业计划的方式已无法适应现代生产管理的发展。本文在现代系统科学思想引领下,运用系统仿真技术建立煤炭码头装卸生产系统仿真预演模型,对昼夜作业计划进行连续仿真预演和评价优化,并对高峰作业下系统瓶颈进行了分析,同时针对影响实时装卸生产的意外干扰事件进行了对策研究。论文主要包括以下研究成果:(1)煤炭码头短周期装卸生产系统复杂性测度。在深入分析影响码头短周期装卸生产的复杂性因素前提下,运用复杂性测度理论进行定量描述,并提出煤炭码头物流系统三类复杂度用于定量对比分析现实对象、仿真模型和数学模型的复杂度。(2)煤炭码头短周期装卸生产系统仿真预演模型建立。从码头信息流和物质流的传递耦合关系出发,提出仿真预演推进机制,同时明确仿真模型的对象边界、元素集合、功能模块和输入参数等,建立仿真预演模型,并进行流程调试和作业参数修正。(3)短周期作业计划仿真预演优化和瓶颈分析。对码头昼夜作业计划进行连续动态仿真预演,通过数据分析揭示未来执行过程中可能出现的问题,提出系统优化方案;并对驳船到港密度不断增加的高峰作业进行预演分析,挖掘码头极限作业能力和系统瓶颈。(4)短周期装卸生产意外干扰事件对策研究。深入分析影响码头正常装卸生产的意外干扰事件,提出从宏观到微观的干扰管理体系框架;并针对船舶到港偏差和故障突发建立实时干扰恢复措施。本文的研究成果直接面向码头实际生产运营,有利于提高码头作业计划的合理性和科学性,挖掘码头高峰作业的瓶颈,降低意外干扰事件对正常装卸生产的影响,具有较重要的学术价值和工程意义。
[Abstract]:With the expansion of the scale of modern specialized coal wharf, the improvement of loading and unloading technology and the diversification of customer demand, the production organization of wharf becomes more and more complicated. However, the way of making and carrying out the operation plan with experience has been unable to adapt to the development of modern production management. In this paper, under the guidance of modern system science, the simulation model of coal wharf loading and unloading production system is established by using the system simulation technology, and the continuous simulation preview and evaluation optimization of day and night operation plan are carried out. At the same time, the system bottleneck under the peak operation is analyzed, and the countermeasures for the unexpected interference events which affect the real-time loading and unloading production are also studied. This paper mainly includes the following research achievements: (1) the complexity measurement of short-period loading and unloading production system of coal wharf. On the premise of deeply analyzing the complexity factors that affect the short period loading and unloading production of the wharf, this paper uses the complexity measure theory to describe quantitatively, and puts forward three kinds of complexity of coal wharf logistics system for quantitative comparison and analysis of realistic objects. The complexity of simulation model and mathematical model. (2) Establishment of simulation preview model for short period loading and unloading production system of coal wharf. Based on the coupling relation between the information flow and the material flow of the wharf, the mechanism of simulation preview is put forward, and the object boundary, element set, function module and input parameters of the simulation model are defined, and the simulation preview model is established. Process debugging and operation parameter correction are carried out. (3) short period job plan simulation preview optimization and bottleneck analysis. The continuous dynamic simulation preview of the day and night operation plan of the wharf is carried out, and the possible problems in the future execution process are revealed through the data analysis, and the system optimization scheme is put forward. The peak operation with increasing barge arrival density is analyzed to excavate the terminal limit operation capacity and system bottleneck. (4) the countermeasure of unexpected disturbance event in short period loading and unloading production is studied. This paper deeply analyzes the unexpected interference events which affect the normal loading and unloading of the wharf, puts forward the disturbance management system framework from macro to micro, and establishes the real time disturbance recovery measures for the deviation and fault burst of the ship arriving at port. The research results of this paper are directly oriented to the actual production and operation of the wharf, which is helpful to improve the rationality and science of the wharf operation plan, excavate the bottleneck of the wharf peak operation, and reduce the influence of the unexpected interference event on the normal loading and unloading production. It has important academic value and engineering significance.
【学位授予单位】:武汉理工大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:U691.3;F552.7

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