面向工业互联网的高端装备多项目研制过程任务建模与协同调度优化问题研究

The development of Industrial Internet enables the integrated solution for the R&D and production process management of High-end equipment. The R&D and production of High-end equipment are usually oriented to different models in corresponding projects, which requires collaborative management for multi-projects. The parallel tasks in multi-projects have extremely complicated relationship with regards to the hierarchical structure, temporal logic, and resource constraints. In view of this, this project will be carried out on the basis of the research status and development trend, to study the task modelling and collaborative scheduling optimization methods for the R&D and production processes of high-end equipment in multi-projects oriented to Industrial Internet. Firstly, it is aimed to study the integrated collaborative patterns for the R&D and production processes of high-end equipment in multi-projects, respectively from the aspects of participants, project attributes, and relationship of resource supply and demand. Secondly, it is aimed to study the collaborative task space modelling methods of the R&D and production processes of high-end equipment in multi-projects, respectively from the different levels of task attribute, task view, task model and task network. Thirdly, it is aimed to take the dual constraints into consideration, i.e. on one hand the vertical collaboration of R&D tasks and production tasks, and on the other hand the horizontal collaboration of multi-projects tasks, and to study the two-way vertical and horizontal tasks collaborative scheduling optimization methods for the R&D and production in multi-projects, considering the key factors of network optimization, critical path and dynamic real-time optimization. Besides, based on the above research, it will further study the knowledge discovery and management methods for multi-project tasks collaborative scheduling optimization. Furthermore, case studies for the mentioned research will be carried out with some real high-end equipment enterprises.

工业互联网的发展使得高端装备研发制造过程管理的一体化解决方案成为可能。高端装备一般都具有按型号研制的特点，需多项目协同化管理，多项目并行任务在层次结构、时间逻辑、资源约束等方面存在极为复杂的关联关系。为此，本项目拟结合国内外研究现状和发展趋势，展开面向工业互联网的高端装备多项目研制过程任务建模与协同调度优化方法研究。首先，从参与主体、项目属性、资源供求关系三个方面，研究多项目研制任务一体化协同模式；其次，从任务属性、任务视图、任务模型和任务网络四个层次，研究多项目研制过程的协同任务空间建模方法；最后，基于网络优化、关键路径、动态实时等关键因素，同时考虑纵向上研发与制造任务协同以及横向上多项目任务协同的双重目标约束，研究多项目研制过程的纵横双向任务协同调度优化方法，在此基础上进一步研究多项目任务协同调度优化知识的发现与管理方法。此外，本项目将结合实际的高端装备企业，通过案例分析展开以上研究。

该项目主要研究了面向工业互联网的高端装备多项目研制过程任务建模与协同调度优化，在高端装备企业的平台型创新运营策略、高端装备研制过程多主体协同机制、高端装备研制资源协同调度优化方法等方面取得了相关的研究成果。以项目负责人为第一作者和通讯作者的论文被《Management Science》（UTD24，FT50）录用，以项目负责人为第一作者的论文分别在《Production and Operations Management》（UTD24，FT50）以及《INFORMS Journal on Computing》（UTD24）发表，项目负责人以及项目组成员在《Information Systems Research》（UTD24，FT50）、《Decision Sciences》、《European Journal of Operational Research》、《Annals of Operations Research》、《Information Sciences》、《International Journal of Production Research》、《管理世界》等国内外重要学术期刊发表和录用期刊论文24篇。研究成果被加拿大工程院院士、IEEE Fellow、加拿大国家研究院首席研究员Weiming Shen教授，IEEE Fellow、AAAS Fellow、IFAC Fellow、美国新泽西理工学院Mengchu Zhou教授等国内外著名学者引用和积极评价。研究成果运用到运载火箭装备以及高端智能液压成形成套装备的研制过程协同调度，获授权国家发明专利8件，团队相关研究成果获安徽省科技进步奖一等奖，项目负责人排名第6。