供应链柔性是一种有效应对市场变化的方法。随着互联网的发展和大数据的广泛应用，信息更新对于供应链柔性具有重要影响。目前关于这方面的研究比较匮乏。本课题旨在构建需求不确定下，基于信息更新的供应链柔性的理论模型和分析框架，研究信息更新对供应链柔性的影响。本课题将首先研究产能规模限制下，在不确定需求的情况下，信息更新对于柔性生产的影响。在此基础上，本课题将研究竞争市场下，信息更新和市场竞争对于供应链柔性生产的综合影响。本项目将进一步引入产能投资决策，分别在垄断市场和竞争市场中，研究信息更新下企业柔性“产能投资—生产决策”策略。根据最优策略和市场均衡结果，本项目揭示了企业最优柔性“产能投资—生产决策”策略与一系列影响因素的内在联系。这些影响因素包括：信息更新，市场竞争，市场潜力，需求不确定性，生产成本和产能投资成本。本项目研究结果将对于不确定市场中，基于信息更新的供应链柔性的应用提出有效的管理启示。

Supply chain flexibility (SCF) is widely considered as an effective way to deal with market uncertainty. With internet development and wide application of big data, information update has critical influence on SCF. However, there is limited research to investigate SCF with information update in the literature. This project aims to investigate the influence of information update on SCF by formulating appropriate theoretical models and analytical frameworks for SCF with information update under demand uncertainty. First, we will find the optimal flexible production strategy of a firm with information update in an uncertain market, when the firm is constrained by its total capacity. Then, we will examine the combined influence of information update and competition on firms’ flexible production strategies at competition equilibrium in an uncertain market. Further, we will integrate capacity investment decisions into firms’ flexible production strategies and study the flexible “capacity investment—production” strategy with information update in both monopoly and competitive markets. Based on the results, we will explore the interrelationship among firms’ flexible “capacity investment—production” strategies at equilibrium and a few influential factors, including information update, market competition, market potential, demand uncertainty, production cost and capacity investment cost. The results will provide managerial insights for applications of SCF with information update under demand uncertainty.