智能手机行业供应链建模与分析

发布时间：2018-03-02 05:19

本文关键词： 智能手机供应链需求线性规划　出处：《中北大学》2017年硕士论文　论文类型：学位论文

【摘要】：近年来,随着科技水平的不断提高以及精密制造技术的不断发展,中国市场的智能手机销量持续增长,且连续多年稳居全球最大的智能手机市场。随着手机销量的不断扩大,各个智能手机制造企业之间的竞争日趋激烈,由于智能手机行业供应链的复杂性,产品的生命周期短以及市场需求的多元性,为了降低整个手机生产周期的总成本,更好的满足市场需求,提高供应链管理水平以及整体效率成为各大智能手机制造企业的当务之急。本文结合了智能手机行业的特点,阐述了供应链建模中需要重点考虑的因素以及相关参数。结合实际的生产情况,分别设计了市场需求随机不确定情况下的供应链模型以及市场需求模糊情况下的供应链模型,模型中整合了采购、生产以及分销的多个时期,且包含多个供应商以及分销商。针对市场需求随机不确定情况下的供应链模型,本文通过引入多种定量预测的方法对随机不确定情况下的市场需求进行预测。针对市场需求模糊情况下的供应链模型,本文采用了模糊数学的方法,引入了三角模糊数,根据模糊数学的可能性理论,将模型中带有模糊性的参数以及相关约束条件转化成确定性参数。通过设计实验模型,用lingo软件对模型进行求解,证明了运用本文的转化方法求解此类问题的可行性。
[Abstract]:In recent years, with the continuous improvement of science and technology and the continuous development of precision manufacturing technology, the smartphone sales in the Chinese market have continued to grow, and have been the largest smartphone market in the world for many years. The competition among the various smartphone manufacturers is becoming increasingly fierce. Because of the complexity of the supply chain of the smartphone industry, the short life cycle of the products and the diversity of the market demand, in order to reduce the total cost of the whole mobile phone production cycle, To better meet the market demand, improve the level of supply chain management and overall efficiency has become the top priority of the major smartphone manufacturers. This paper combines the characteristics of the smartphone industry, This paper expounds the factors and related parameters that need to be considered in the modeling of supply chain, and designs the supply chain model under random uncertainty of market demand and the supply chain model under fuzzy market demand, combining with the actual production situation. The model integrates multiple periods of procurement, production and distribution, and includes multiple suppliers and distributors. In this paper, a variety of quantitative forecasting methods are introduced to predict the market demand in the case of random uncertainty. For the supply chain model with fuzzy market demand, the fuzzy mathematics method is used in this paper, and the triangular fuzzy number is introduced. According to the possibility theory of fuzzy mathematics, the parameters with fuzziness and related constraints in the model are transformed into deterministic parameters. By designing the experimental model, the model is solved by lingo software. It is proved that it is feasible to solve this kind of problem by using the transformation method in this paper.
【学位授予单位】：中北大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F274;F426.63

【参考文献】