云制造环境下刀具资源优化配置与服务应用研究

发布时间：2018-02-10 22:11

本文关键词： 云制造刀具资源云共享优化配置　出处：《哈尔滨理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：近年来,制造企业由传统的资源型企业向服务型企业转型、生产型制造向服务型制造转型已成为制造业转型发展的必然趋势,其中有关分布、异构的制造资源的优化配置是发展服务型企业与服务型制造的难点问题之一,云制造等相关先进制造模式为上述问题的有效解决提供了新的手段和方法。云制造环境下将中小企业间海量的刀具资源以制造服务的形式共享,即“分散的刀具资源集中管理,集中的刀具资源分散服务”,盘活中小企业间闲置的刀具资源,使中小企业传统的刀具资源“购买-使用”的生产模式转变为“按需获取-使用”的共享云服务模式,促进刀具资源的高效共享与流通,实现多方共赢。首先,通过分析刀具资源的属性特征,建立刀具资源分类模型与信息模型,为刀具资源的有效管理及云共享提供规范模型;对云制造环境下中小企业间刀具资源云服务需求问题进行分析探讨,并提出可行性解决方法;围绕中小企业间闲置刀具资源的服务化与优化配置,提出一种刀具资源共享云服务模式以及构建刀具资源共享云服务体系,为刀具资源的云共享提供模式支撑。其次,对制造资源评价指标体系构建过程中遵循的主要原则以及制造资源评价的一般性方法进行分析;针对刀具资源云共享过程中的刀具资源云服务评价问题,建立目标层、子目标层、指标层三层次的刀具资源云服务评价指标体系;采用模糊层次分析法对评价指标体系中各层级评价指标进行模糊定量排序,为刀具资源优化配置提供决策依据。再次,针对刀具资源共享云服务模式下的多粒度加工任务,建立加工任务分解序列模型以及基于加工特征的刀具资源匹配模型,为刀具资源优化配置过程提供理论依据;选取加工时间、加工成本、加工质量为优化目标建立刀具资源优化配置模型;分别采用标准粒子群优化算法及基于混合变异算子的改进粒子群优化算法对优化配置模型进行求解,并验证模型和算法的可靠性及有效性。最后,结合刀具资源共享云服务平台的功能需求和应用范围,选用浏览器/服务器结构为原型系统的应用模式;提出一种刀具资源服务体系层次架构并对原型系统的功能模块进行划分;设计、开发原型系统部分运行界面和功能,为刀具资源共享云服务模式的落地与应用提供平台支撑。
[Abstract]:In recent years, manufacturing enterprises have transformed from traditional resource-based enterprises to service-oriented enterprises, and the transition of production-oriented manufacturing to service-oriented manufacturing has become an inevitable trend in the transformation and development of manufacturing industry. The optimal allocation of heterogeneous manufacturing resources is one of the difficult problems in developing service-oriented enterprises and service-oriented manufacturing. Cloud manufacturing and other related advanced manufacturing models provide new means and methods for solving the above problems. In the cloud manufacturing environment, the mass cutting tool resources among small and medium-sized enterprises are shared in the form of manufacturing services, that is, "decentralized tool resources centralized management," Centralized tool resources distributed service ", invigorate idle tool resources between small and medium-sized enterprises, so that the traditional" purchase-use "production mode of tool resources in small and medium-sized enterprises is changed into" on-demand acquisition-use "shared cloud service mode. Firstly, by analyzing the attribute characteristics of tool resources, the classification model and information model of tool resources are established to provide a standard model for the effective management and cloud sharing of tool resources. This paper analyzes and discusses the problem of tool resource cloud service demand among small and medium-sized enterprises under the cloud manufacturing environment, and puts forward the feasible solution, which revolves around the service and optimization allocation of idle tool resources among small and medium-sized enterprises. A tool resource sharing cloud service model and a tool resource sharing cloud service system are proposed to provide support for tool resource cloud sharing. The main principles of manufacturing resource evaluation index system and the general methods of manufacturing resource evaluation are analyzed, and the target layer is established for tool resource cloud service evaluation in the process of tool resource cloud sharing. The evaluation index system of tool resource cloud service in sub-target layer and index layer, the fuzzy analytic hierarchy process (FAHP) is used to sort the evaluation index of each level in the evaluation index system. Thirdly, for the multi-granularity machining task under the tool resource sharing cloud service mode, the process task decomposition sequence model and the tool resource matching model based on machining characteristics are established. It provides the theoretical basis for the optimization of tool resource allocation, and establishes the tool resource optimal allocation model by selecting machining time, machining cost and machining quality as the optimization objectives. The standard particle swarm optimization algorithm and the improved particle swarm optimization algorithm based on mixed mutation operator are used to solve the optimal collocation model, and the reliability and validity of the model and algorithm are verified. According to the functional requirements and application scope of the tool resource sharing cloud service platform, the browser / server structure is selected as the application mode of the prototype system. This paper presents a hierarchical architecture of tool resource service system and divides the function modules of the prototype system, designs and develops some running interfaces and functions of the prototype system, and provides platform support for the landing and application of the tool resource sharing cloud service mode.
【学位授予单位】：哈尔滨理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TG71

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