面向平台型企业的社会化制造协同调度建模与优化方法研究

Nowadays, with the development of Industrial Internet going deeply in the social and economic field, a new manufacturing pattern named social manufacturing has been forming. In this pattern, platform enterprises need to efficiently integrate and utilize a wide range of social resources, and thus rapidly respond to and satisfy massive users’ customized demands in time. Therefore, one of the key problems for the platform enterprises is how to match and schedule the multi-domain and multi-grain resources and large-scale scheduling tasks formed by users' demands. To this end, we plan to conduct the research on the social manufacturing collaboration scheduling modelling and optimization methods oriented to platform enterprises in this project, on the basis of the related research status and trend. First of all, the main features of the problems in the social manufacturing collaboration scheduling modelling and optimization methods oriented to platform enterprises will be studied from the perspectives of tasks, resources, and entities. Second, on the basis of the multi-domain and multi-grain resource interrelation model and task scheduling space model, the serial-parallel coordination scheduling modelling approach of social manufacturing oriented to platform enterprises will be investigated. Last but not least, aiming at the complex collaboration relationships among multiple agents, the tasks and resources matching optimization methods will be studied, and the multi-agent collaboration scheduling optimization method in the social manufacturing oriented to platform enterprises will be investigated. Furthermore, we will conduct case studies combining the real platform enterprises.

目前，工业互联网正在向社会经济各领域不断发展延伸，与此同时催生出了社会化制造这一新型生产制造模式。在该模式下，平台型的制造企业需要高效整合及利用大范围社会化资源，从而快速响应并及时满足大规模用户定制需求。因此，平台型企业运作的关键问题之一就是如何对社会化的多域多粒度资源与用户需求形成的大规模集成任务进行匹配和调度。本课题拟结合国内外研究现状和发展趋势，展开面向平台型企业的社会化制造协同调度建模与优化方法研究。首先，从任务、资源、主体三个方面，研究面向平台型企业的社会化制造调度问题的主要特征；其次，通过构建多域多粒度资源关联关系模型和调度任务空间模型，研究面向平台型企业的社会化制造串并联动调度建模方法；最后，针对多主体之间的复杂协同关系，研究各类任务和资源的匹配优化方法，设计面向平台型企业的社会化制造多主体协同调度优化方法。此外，本项目将结合实际的平台型企业，通过案例分析展开以上研究。

该项目主要研究了面向平台型企业的社会化制造协同调度建模与优化方法，在面向平台型企业的协同优化机制和模式、多主体协同计划优化方法、多主体协同调度优化方法等方面取得了相关的研究成果。在Springer出版英文专著1部，在《INFORMS Journal on Computing》《Omega》 《European Journal of Operational Research》等国际重要学术期刊发表SCI/SSCI期刊论文38篇，以项目负责人为第一作者的2篇论文入选ESI全球前1%高被引论文。研究成果被美国工程院院士、管理科学领域顶级期刊《Operations Research》现任主编、芝加哥大学John R. Birge教授，美国工程院院士、冯∙诺依曼理论奖获得者、禁忌搜索算法发明人、IEEE Life Fellow、美国克罗拉多大学Fred W. Glover教授，美国工程院院士、INFORMS Fellow、美国卡耐基梅隆大学Ignacio E. Grossmann教授等国内外著名学者引用和积极评价。项目结合智能互联环境下企业的实际调度需求，将研究成果应用在中国运载火箭研制调度过程以及高端智能液压成形成套装备协同调度过程中，获授权国家发明专利11件、美国发明专利2件，团队相关研究成果获安徽省科技进步奖一等奖，该奖项处于公示阶段，项目负责人排名第6。在该项目研究期间，项目负责人获批国家自然科学基金优秀青年科学基金项目。