易逝品生产—分销网络优化策略研究

发布时间：2018-06-25 19:06

本文选题：易逝品 + 生产-分销网络　；参考：《福州大学》2014年硕士论文

【摘要】：近几年,科学快速发展,技术更新频繁,易逝品的生命周期日益缩短,更新换代速度加快,产品结构越显复杂,客户需求日益个性化、多样化且高度不确定,企业如何在激烈的市场竞争中保持竞争优势成为学术界和企业界的关注热点。供应链管理作为最新的管理模式为各企业重组产品和服务网络提供了巨大的资源和能力支持,生产-分销作为供应链管理的重要部分,是提高供应链管理水平,增强企业竞争力的最主要因素。然而,在实践中,一些易逝品供应链运行不畅,其重要原因之一是生产-分销模式和产品特点缺乏匹配,导致生产-分销网络与产品需求特征不一致；同时,产品生命周期的缩短、需求的不确定、原料价格的波动等大量的不确定因素给生产-分销网络带来许多风险,严重阻碍供应链的正常运行。因此,选择与产品特点相匹配的生产-分销模式、构建与产品需求特征一致的生产-分销网络并实施有效的风险管理是易逝品供应链成功运行的关键。本文以手机、电脑及数码设备等高科技易逝品作为研究对象,通过定性分析产品及其生产-分销系统的特征,定量研究了不同需求分布特征和竞争策略下的的生产-分销网络优化问题。论文首先总结了国内外相关领域的研究成果,并提出本文的研究思路；其次,从产品、生命周期、运作时间的控制三个维度定性分析易逝品的渠道结构、市场需求、生命周期各阶段生产-分销模式以及响应时间特点,并对不确定优化方法进行介绍分析；再次,建立不确定条件下的易逝品生产-分销网络优化模型,针对产品出现的不同需求分布特征,分别运用稳健优化和WCVaR方法对模型进行转化求解,确定了市场需求已知情景描述和混合分布情况下的最优生产-分销策略,并通过数值仿真对模型进行比较、验证；最后,将单产品扩展到多产品,建立了更新换代时期新、老易逝品共存的生产-分销网络风险优化模型,模型考虑新产品对老产品的替代性、产品价格及提前期对需求的作用,采用蒙特卡罗方法产生需求的离散数据样本,探讨满足整个生产-分销网络WCVaR风险值最小的优化策略,即同时确定了新、老两代产品的生产规模、定价、提前期、整合流量分配、分销中心选址、运输路径选择的最优值,并通过数值仿真进行了验证。
[Abstract]:In recent years, with the rapid development of science, the technology renewal is frequent, the life cycle of perishable products is shortened day by day, the replacement speed is quickening, the product structure is becoming more and more complex, the customer demand is increasingly personalized, diversified and highly uncertain. How to maintain competitive advantage in the fierce market competition has become a hot topic in academia and business circles. As the latest management mode, supply chain management (SCM) provides enormous resources and capability support for enterprises to reorganize their products and service networks. As an important part of supply chain management, production-distribution is to improve the level of supply chain management. The most important factor that strengthens the enterprise competitive power. However, in practice, some perishable goods supply chain does not run smoothly, one of the important reasons is that the production-distribution mode and product characteristics are not matched, which leads to the inconsistency between production-distribution network and product demand. The shortening of product life cycle, the uncertainty of demand and the fluctuation of raw material price bring a lot of risks to production-distribution network, which seriously hinder the normal operation of supply chain. Therefore, the key to the successful operation of perishable goods supply chain is to choose the production-distribution mode that matches the characteristics of the product, to construct the production-distribution network consistent with the characteristics of the product demand and to implement effective risk management. In this paper, high-tech perishable products such as mobile phones, computers and digital devices are taken as research objects, and the characteristics of the products and their production-distribution systems are analyzed qualitatively. The optimization problem of production-distribution network under different demand distribution characteristics and competitive strategies is studied quantitatively. Firstly, this paper summarizes the research results of related fields at home and abroad, and puts forward the research ideas of this paper. Secondly, it qualitatively analyzes the channel structure and market demand of perishable products from the three dimensions of product, life cycle and operation time control. The production-distribution mode and response time characteristics in different stages of life cycle are introduced and analyzed. Thirdly, the model of perishable production-distribution network optimization under uncertain conditions is established. According to the different demand distribution characteristics of the product, the robust optimization and WCVaR method are used to solve the model, and the optimal production-distribution strategy under the given situation of market demand and mixed distribution is determined. The model is compared and verified by numerical simulation. Finally, the risk optimization model of production-distribution network is established by extending the single product to multi-product, and establishing the risk optimization model of production-distribution network in the period of renewal and coexistence of old and perishable products. Considering the substitution of new products to old products and the effect of product price and lead time on demand, the model uses Monte Carlo method to generate discrete data samples of demand, and discusses the optimization strategy to satisfy the minimum risk value of WCVaR in the whole production-distribution network. At the same time, the production scale, pricing, lead time, integrated flow distribution, location of distribution center and transportation route selection of the new and old generation products are determined and verified by numerical simulation.
【学位授予单位】：福州大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F274

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