面向动态电价的生产计划优化模型及工具研究

发布时间：2018-11-26 08:18

【摘要】：制造业行业面临控制成本的压力,能源成本在其生产中占比巨大,尤其是电力成本,如何控制能源成本对企业提高竞争力具有重要意义。因为电是能源转化后的产物,所以能源价格不断上升便间接导致了电价的不断升高与稀缺。本文以电力资源为对象,研究动态电价环境下,企业生产任务优化安排的问题,对企业优化生产降低能源成本有实际意义。过去的生产任务安排是不考虑能源价格的,若在能源价格波动时,在生产安排中增加一个约束,将是对生产计划理论的扩充,对生产计划优化具有理论意义。论文首先分析了目前能源价格上涨的背景对于企业的影响,并指出了本文的研究意义。其次,本文提出了面向动态电价的生产计划(Dynamic Electricity Price Oriented Production Plan, DEPOPP)建模问题,对总体方案进行了设计,以降低电力成本与缩短产品等待时间为目标建立了生产计划优化模型。接下来本文对模型进行分析,提出了基于动态规划思想的算法以求解本文中的生产优化模型。利用该算法对几种典型动态电价模式进行了案例分析,随后对模型中重要的量纲转换参数进行了参数分析。最后利用论文中核心算法的思想,设计优化工具系统,对关键功能实现进行详细设计,并介绍该工具的运行实例。本论文建立了以电力成本和等待时间为目标的优化模型,并基于动态规划思想提出算法,经过计算对比证实了算法的有效性。这里的生产计划模型目标为理论研究,主要考虑时间成本与电力成本,如果考虑更多的如人力成本、库存成本等,模型需要做进一步调整研究,但本文提出的算法依然具备参考作用。在实际应用中还要注意模型中的实际参数设置。
[Abstract]:The manufacturing industry is faced with the pressure of cost control, and the energy cost accounts for a large proportion in its production, especially the power cost. How to control the energy cost is of great significance for enterprises to improve their competitiveness. Since electricity is the product of energy conversion, rising energy prices indirectly lead to higher and scarcer electricity prices. Taking electric power resources as the object, this paper studies the optimization of production tasks in dynamic electricity price environment, which is of practical significance for enterprises to optimize production and reduce energy costs. In the past, the production task arrangement did not consider the energy price. If a constraint was added to the production arrangement when the energy price fluctuated, it would be an extension of the production planning theory and would have theoretical significance for the optimization of the production plan. Firstly, the paper analyzes the influence of the background of the rising energy price on the enterprises, and points out the significance of this paper. Secondly, this paper presents the production planning (Dynamic Electricity Price Oriented Production Plan, DEPOPP) modeling problem for dynamic electricity pricing, designs the overall scheme, and establishes the production planning optimization model with the goal of reducing the power cost and shortening the waiting time of the product. Then the model is analyzed and an algorithm based on dynamic programming is proposed to solve the production optimization model in this paper. The algorithm is used to analyze several typical dynamic electricity pricing models, and then the important dimensionality conversion parameters in the model are analyzed. Finally, using the idea of the core algorithm in the paper, the optimization tool system is designed, and the key function realization is designed in detail, and the running example of the tool is introduced. In this paper, an optimization model with the goal of power cost and waiting time is established, and the algorithm is proposed based on the idea of dynamic programming. The validity of the algorithm is verified by calculation and comparison. The goal of the production planning model is the theoretical research, mainly considering the time cost and the electricity cost. If we consider more such as labor cost, inventory cost and so on, the model needs to be further adjusted and studied. However, the algorithm proposed in this paper still has reference function. In the practical application, we should pay attention to the actual parameter setting in the model.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F273

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