针对作业计划与调度优化算法应用于单件小批MES中的适用性、实用性问题，基于复杂性科学理论，利用系统工程方法，对单件小批MES作业计划与调度综合优化理论和方法进行深入研究，以期通过提高作业计划与调度优化的智能性、敏捷性、鲁棒性和柔性来提高它的实用性，实现对作业计划与调度的全局优化。 本项目主要进行三方面的研究：(1)建立分层递阶单件小批MES作业计划与调度综合优化模型，形成静态作业计划与调度优化、作业监控和动态作业计划与调度优化有机联系的计划、控制与调节的闭环系统；(2)构造作业计划与调度优化算法库、研究作业监控技术和调度有效性评价体系、设计作业计划与调度变更算法；(3)开发单件小批MES作业计划与调度综合优化原型系统，通过仿真实验验证所提出的理论和方法。 本项目的研究有利于促进MES在单件小批制造业的应用，提高我国离散型制造业整体制造管理水平。

To solve the applicability and practicality problem of the existing job shop scheduling algorithms applied in single and small batch Manufacturing Execution System(MES), job shop scheduling integrated optimization theory and method of single and small batch MES will be studied used systenms engineering mathod based on complexity sciences theory. We expect that the practicality of job shop scheduling optimization in single and small batch MES can be increased through its intelligence, agility, robustness and flexibility; thereby job shop scheduling global optimization can be realized. The main research work includes the following aspects: (1) The hierarchy job shop scheduling integrated optimization model of single and small batch MES will be established in order to form a closed loop plan-control-change system with organic relation among static job shop scheduling optimization, work monitoring and dynamic job shop scheduling optimization. (2) The job shop scheduling optimization algorithm library will be established, the work monitoring technique and the evaluation system of effectiveness of scheduling will be studied, the dynamic job shop scheduling change algorithm will be designed. (3)The job shop scheduling integrated optimization prototype system of single and small batch MES which takes Harbin Electric Machinery Co., Ltd as application object will be developed. Job shop scheduling integrated optimization theory and method of single and small batch MES proposed in this research will be validated through simulation experiment. The reaserch will help to promote the application of MES in single or small batch manufacturing and improve the management level of discrete manufacturing industry.