随着设施农业企业投资规模的增加，原有的基于经验的农业生产管理方式成为制约其发展的重要因素，如何通过管理优化来提高经济效益是这些企业面临的共同问题，而目前我国学术界对此并没有深入研究。而本项目深入分析国内外采用设施农业技术的相关企业生产管理现状，结合我国设施农业的具体实践环境，通过综合运用绝对偏差最小化模型、最优化理论和博弈论等方法，深入研究如何通过管理优化提高设施农业企业的经营效益。具体研究内容包括：使用设施农业技术的农产品种植企业生产环境的不确定性因素（包括市场和产能不确定性两大因素）分析、农作物最优品种组合和种植计划的建立、不确定情景下的农作物种植计划的鲁棒性设计、不确定情景下两种流通渠道中的多品种组合定价策略与协调机制设计。本项目的研究成果既能够为相关企业的管理人员提供科学决策依据，又可以为政府部门制定农业管理政策提供参考。

With the development of facility farming, the original experienced management for production restricts the performance of these agricultural enterprises. These enterprises needs new management strategies to improve their performance. Meanwhile, this problem has seldom been researched in academic. This project reviews the product management of facility farming and studies the uncertainty environment of our country firstly. The approaches, such as absolute deviation minimization model, optimization theory and game theory are used in the project to improve the performance of facility farming enterprises. The detailed works include analysis of the uncertainty factors for facility farming (including market and capacity uncertainty), the optimal combination of products, the flexibility of the planting plan, and the pricing and coordination strategies for different circulation channels. The research results show significance on the decision of management of facility farming, and provide reference for the government to establish the agricultural policy.