随机需求下供应链提前期压缩的优化与协调 毕业论文.doc

随机需求下供应链提前期压缩的优化与协调 摘 要 当今市场具有以下特点：需求不确定性加大、顾客对价格与提前期的要求越来越高，竞争从企业间的竞争转向供应链的竞争。在此环境下，本文选取了集中决策与分散决策两种经营模式，研究了在市场需求随机并且对价格与承诺提前期敏感的条件下，供应链如何制定最优的价格、承诺提前期以及库存因子使得利润最大化。具体地，本文解决了三方面的问题： 首先本文建立了集中决策供应链的利润模型，求解得到了集中决策下的最优价格、承诺提前期与库存因子三项决策，并分析了这些决策的性质；其次本文分别建立了分散决策供应链中供应商与零售商的利润模型，求解得到了分散决策下的最优价格、承诺提前期、库存因子以及收入分享比例，使得供应链成员协调并且利润最大，并对这些决策的性质进行了分析；最后本文对集中决策供应链与分散决策供应链的绩效进行了对比分析，以及企业与市场因素产生的影响，发现与集中决策供应链相比，分散决策供应链制定的库存因子相同，但价格更高，承诺提前期更短，利润更低。 关键词：价格-提前期敏感， 随机需求， 赶工成本， 供应链管理， 压缩提前期  Abstract Market of the new century tends to have following characteristics: uncertainty is growing, customers prefer cheaper and faster commodities and services, and the number of companies competing through supply chain is increasing. For these reasons, this paper studies how to choose the optimal price, promised lead time and inventory factor to maximize the profit, under the situation of centralized and decentralized supply chains when market demand is uncertain. Specifically, this paper solves following three problems: Firstly, this paper construct the profit model of centralized supply chain and find out the optimal price, promised lead time and stock factor. Secondly, we construct the profit models of both supplier and retailer in the decentralized supply chain, and then we find out the optimal decisions of both players to maximize the individual profit and coordinate the system, and study the propositions of the decisions. Finally, using the performance of the corresponding centralized system as a benchmark, we show that decentralized system has the same stock factor, higher price, shorter promised lead time and lower profit. Key words: price-and lead-time-sensitive demand, crashing cost, supply chain management, lead-time compressing.  目 录 摘 要 I Abstract II 第一章 引 言 1 1.1研究背景与意义 1 1.2 文献综述 3 1.3 论文框架及研究方法 6 第二章 随机需求下的集中决策模型研究 7 2．1 符号定义及条件假设 7 2．2 集中决策下的优化模型 9 2．3 集中决策下最优库存因子、价格与承诺提前期性质的研究 12 2．3．1 最优库存因子性质的研究 12 2．3．2 最优价格性质的研究 15 2．3．3 最优承诺