基于加工精度的数控设备质量与成本调控研究

发布时间：2018-03-24 00:30

本文选题：数控设备　切入点：加工精度　出处：《沈阳工业大学》2013年硕士论文

【摘要】：在当前这个经济全球化与社会高速发展的时代，企业所关注的焦点依旧是质量与成本的问题。对于数控设备制造企业的管理者来说，如何调整好企业产品的质量与成本的关系，以及如何对产品的质量与成本进行调控，使其能够在质量指标达到最优时成本消耗最低已成为数控设备制造企业的首要任务，这对加强企业核心竞争力非常重要。根据质量与成本的相关理论，本文首先分别提出质量的内涵与成本的内涵，以及数控设备质量与成本的构成；其次，在研究数控设备产业现状的基础上，通过市场调查分析数控设备的市场需求，寻找能满足绝大多数客户需求的数控设备加工精度。然后，在满足加工精度要求的前提下分析数控设备质量与成本的关系。数控设备的选件属于组合优化问题，因此本文用组合优化数学方法研究数控设备质量与成本的关系。根据概率分析算法与粒子群算法的各自特点及基本原理，在研究数控设备质量与成本的优化模型上采用概率分析算法与粒子群算法相结合的算法，，得到使成本与质量较优的数控部件组合，进而得到较优的质量与较低的成本。最后，以某数控设备制造企业为例对质量与成本的优化模型进行实证研究。本文旨在数控设备制造中发现以成本控制为导向的传统质量与成本管理方式的缺陷，寻找最优质量及与其相对应的最低成本，从而提高企业赢取市场份额的综合能力。
[Abstract]:In the current era of economic globalization and rapid social development, the focus of enterprises is still on quality and cost. For the managers of NC equipment manufacturing enterprises, how to adjust the relationship between product quality and cost, And how to adjust and control the quality and cost of products so that the lowest cost consumption can reach the optimal quality index has become the primary task of NC equipment manufacturing enterprises which is very important to strengthen the core competitiveness of enterprises. According to the theory of quality and cost, this paper firstly puts forward the connotation of quality and cost, and the composition of quality and cost of CNC equipment. Secondly, on the basis of studying the present situation of CNC equipment industry, Through the market investigation and analysis of the market demand of CNC equipment, to find the NC equipment processing accuracy that can meet the needs of the vast majority of customers. Then, Under the premise of satisfying the requirement of machining precision, the relationship between the quality and cost of NC equipment is analyzed. The selection of NC equipment is a combinatorial optimization problem. Therefore, the relationship between quality and cost of numerical control equipment is studied by combinatorial optimization method. According to the characteristics and basic principles of probability analysis algorithm and particle swarm optimization algorithm, The combination of probability analysis algorithm and particle swarm optimization algorithm is used to study the optimization model of quality and cost of NC equipment. The combination of NC parts with better cost and quality is obtained, and the better quality and lower cost are obtained. A numerical control equipment manufacturing enterprise is taken as an example to study the optimization model of quality and cost. The purpose of this paper is to find out the defects of traditional quality and cost management based on cost control in NC equipment manufacturing, to find the best quality and the lowest cost corresponding to it, so as to improve the comprehensive ability of enterprises to win market share.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F273.2;F275;F426.6

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