终端光学组件产能需求分析及柔性调度研究

发布时间：2018-05-09 15:20

本文选题：产能需求分析 + 柔性调度　；参考：《哈尔滨工业大学》2017年硕士论文

【摘要】：随着市场经济的不断发展,客户的需求也日趋多样化与个性化。传统的库存式生产正逐渐向多品种、小批量的订单式生产转变。订单式生产具有随机性、多变性等特点,并且由于每个订单都具有严格的交货日期。因此如何在满足客户交货期的前提下,使得生产周期最短是面向订单的柔性调度研究的主要目的。项目式生产制造企业在承接项目的初期,需要对项目进行合理的时间管理,从而保证项目的有效进行。本文以终端光学组件加工制造项目为对象,建立了产能需求估算和面向订单的柔性调度研究的方法体系。首先,基于项目时间管理内容以及IDEF0建模方法,设计了终端光学组件加工制造项目的时间管理功能模型。对该功能模型中的输入、输出以及工具与技术进行了详细的介绍。设计了项目管理的组织结构,进一步完善了系统功能模型的设计。其次,在项目合同签订前对终端光学组件的产能需求进行合理的分析。对该项目的整个生命周期进行阶段划分,根据产能需求影响因素对各个阶段中可能影响完工时间的因素进行归集,进而建立了终端光学组件的产能需求估算模型。在项目的生产计划制定阶段,对面向订单的柔性调度方法进行研究。将面向订单的柔性调度分为订单处理与柔性调度两个方面。基于交货期相似性、工艺相似性、聚类算法等对客户订单以及订单内的工件进行归并。构建了组合优先规则库模型并提出了无等待连续生产保证方法,根据该模型对生产车间进行调度。最后,在P6软件中对项目分层次建模,根据建立的产能需求估算模型,估算出每种型号的终端光学组件的加工周期以及对各种资源的需求情况。通过设计自定义视图、自定义字段以及自定义过滤器等实现了基于组合优先规则的可视化柔性调度。为方便项目管理工作的进行,开发了一种数据传输方法使得加工信息可以在Excel与P6软件之间快速转换。
[Abstract]:With the continuous development of market economy, customer needs are becoming more and more diversified and individualized. Traditional inventory production is gradually changing to multi-variety, small-batch order production. Order production is characterized by randomness, variability and strict delivery dates for each order. Therefore, how to make the shortest production cycle under the premise of meeting the customer delivery time is the main purpose of the order oriented flexible scheduling research. In the initial stage of undertaking the project, the project-based manufacturing enterprise needs to manage the project in a reasonable time, so as to ensure the effective implementation of the project. In this paper, a method system of capacity requirement estimation and order-oriented flexible scheduling is established, which is based on the terminal optical component manufacturing project. Firstly, based on the content of project time management and IDEF0 modeling method, the time management function model of optical component manufacturing project is designed. The input, output, tools and technology of the function model are introduced in detail. The organizational structure of project management is designed, and the design of system function model is further improved. Secondly, before the signing of the project contract, the capacity requirements of the terminal optical components are analyzed reasonably. The whole life cycle of the project is divided into stages, and the factors that may affect the completion time in each stage are collected according to the factors affecting the capacity demand, and then the capacity requirement estimation model of the terminal optical components is established. In the production planning stage of the project, the order-oriented flexible scheduling method is studied. Order-oriented flexible scheduling is divided into two aspects: order processing and flexible scheduling. Based on the similarity of delivery date, process similarity and clustering algorithm, the customer orders and the jobs in the order are merged. The combinatorial priority rule base model is constructed and a no-wait continuous production guarantee method is proposed. According to this model, the production shop is scheduled. Finally, the hierarchical model of the project is built in the P6 software. According to the established capacity requirement estimation model, the processing cycle of each type of terminal optical component and the demand for various resources are estimated. Visual flexible scheduling based on combinatorial priority rules is implemented by designing custom views, custom fields and custom filters. In order to facilitate the project management, a method of data transmission is developed so that the processing information can be quickly converted between Excel and P6 software.
【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】：TH74;TP301.6

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