智能工厂环境下的混合生产线调度优化方法研究

发布时间：2018-04-14 04:22

本文选题：生产计划 + 生产调度优化　；参考：《哈尔滨工业大学》2017年硕士论文

【摘要】：生产计划是整个生产过程中的重要组成部分,生产运行的效率直接取决于此因素。计划代表控制功能,这一要素的实质在于对未来业务发展的逻辑表述,根据当前趋势为各部门制定目标。在生产计划过程中,人力、物力、工作和财务资源是依据工作计划于相应的时间节点所确定的。无疑问,生产线调度是生产计划的关键部分之一。管理人员根据生产线计划计算设备、工人、技术与物质资源、工资率和其他可能的生产费用的必要数量。随着当代科学与技术的不断发展,所有的企业都需要准备好进行每一方面的技术优化,要不然很难在竞争中取得优势。目前最具代表性的改革计划有德国政府在2011年提出的“工业4.0”项目,美国的“工业互联网”概念与中国提出的“中国制造2025”。“工业4.0”或“第四次工业革命“之前,人类历经了第一次工业革命动用水和蒸汽使生产转变为机械化;第二次革命引入产电力来帮助大规模生产,最后第三次工业革命是数字革命和电子产品的使用,它推动了自动化生产。所谓“智能工厂”的概念要求在新环境中进行优化和调整的传统方法和策略。这时,调度优化技术就在显得格外重要。本文首先建立了一个能够描述智能工厂环境下的整个工作过程和物料、产品和备件流的数学模型。整个工作是以哈尔滨工业大学机电工程学院工业工程综合实验室的模型为基础的。所有设备由装配线、仓储、分拣、质量检查区、自动导向车(AGV)和三维打印机(3D printer)组成,结合实现高度定制产品工作制造系统的目标。在此基础上,提出了AGV路径优化设计的思路,对若干调度规则进行了测试,设计了一种特殊的GA启发式算法,并与调度规则进行了比较,最后提出了一种动态路径规划的方法,并将其与GA相结合。
[Abstract]:Production planning is an important part of the whole production process, and the efficiency of production operation is directly dependent on this factor.The essence of this element is the logical representation of future business development and the establishment of objectives for each department according to current trends.In the production planning process, manpower, material resources, work and financial resources are determined according to the work plan at the corresponding time node.No doubt, production line scheduling is one of the key parts of production planning.Managers calculate the necessary quantities of equipment, workers, technical and material resources, wage rates and other possible production costs according to production line plans.With the continuous development of modern science and technology, all enterprises need to be prepared for every aspect of technological optimization, otherwise it is difficult to gain an advantage in the competition.Currently, the most representative reform plans are the "Industrial 4.0" project proposed by the German government in 2011, the "Industrial Internet" concept of the United States and the "made in China 2025" proposed by China.Before "industrial 4.0" or "fourth industrial revolution," mankind experienced the first industrial revolution, which used water and steam to turn production into mechanization; the second revolution introduced electricity production to help mass production.Finally, the third industrial revolution was the digital revolution and the use of electronics, which promoted automated production.The concept of "intelligent factory" requires traditional methods and strategies to optimize and adjust in the new environment.At this time, scheduling optimization technology is particularly important.In this paper, a mathematical model is established to describe the whole working process and the flow of materials, products and spare parts in the environment of intelligent factory.The whole work is based on the model of the industrial engineering comprehensive laboratory of the College of Mechanical and Electrical Engineering of Harbin University of Technology.All equipment consists of assembly line, storage, sorting, quality inspection area, automatic steering vehicle (AGV) and 3D printer (3D printer).On this basis, the idea of AGV path optimization design is put forward, some scheduling rules are tested, a special GA heuristic algorithm is designed and compared with the scheduling rules. At last, a dynamic path planning method is proposed.And combine it with GA.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB497;TP18

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