分布式设备多目标协同制造的网络综合调度关键技术研究

The integrated scheduling is an effective way to solve the scheduling of manufacturing resources with the processing and assembly of single complex products in the same location. Although the study has been extended to solve some of iussues on the long-distance distribution of manufacturing resources, it also needs to solve more complex issues practically. Such as the distribution of more extensive manufacturing resources and random orders of the network dynamic scheduling, and multiply objective flexible scheduling considering the delivery time and cost. Therefore, the researche on network integrated scheduling for multiple objective cooperative manufacturing of distributed machines is necessary. This project is not only an innovative application of basic research, but also in line with the current needs of the product diversification and long-distance distribution of important resources. It is complicated to consider the multiple objective cooperative manufacturing of distributed machines, and this project is intended to study key technologies as follows: 1. Constraints and models of the integrated scheduling for the distributed manufacturing resources; 2) The Relationship for the cooperative computation between multiple objective and flexible resources; 3) The cooperative computation of single product decomposition and assembling for network manufacturing resources; 4) The dynamic integrated scheduling algorithm for network resources on the random orders; 5) Research on multiple objective network scheduling mechanism for complex single product, realizing the network integrated scheduling system for multiple objective cooperative manufacturing of distributed machines.

综合调度是有效解决制造资源在同一地点的单件复杂产品加工和装配一同处理的调度方法，虽然目前已扩展研究解决了部分制造资源远距离分布问题，但从普遍实用角度还需要解决更复杂的问题，如分布更广泛制造资源和随机订单的网络动态调度、综合考虑交货期和成本等因素多目标的柔性调度，因此需要进行分布式设备多目标协同制造的网络综合调度关键技术研究。该项目不仅是创新的应用基础研究，而且符合当前对产品多样化需求和重要资源远距离分布的国情。考虑分布式设备多目标协同制造的网络综合调度比较复杂，本项目拟研究关键技术：1.分布式制造资源网络综合调度的约束条件与模型；2.多目标与柔性资源的关系与协同计算；3.适应网络制造资源的单产品分解与组装的协同计算；4.适应随机订单的网络资源动态综合调度算法；5.研究复杂单产品多目标网络调度机制，实现具有协同计算能力的分布式设备多目标协同制造的网络综合调度系统。

树状结构产品加工和装配一同处理的综合调度，随着社会对产品多样化需求的增加被提出，并取得了一定研究成果，但综合调度方法目前解决的是设备资源集中于一处（单车间）或几处（二车间或三车间）的单件复杂产品单目标生产调度，无法适应互联网+制造的多目标单件复杂产品生产调度。主要研究内容是1.分布式制造资源网络综合调度的约束条件与模型；2.多目标与柔性资源的关系与协同计算；3.适应网络制造资源的单产品分解与组装的协同计算；4.适应随机订单的网络资源动态综合调度算法；5.研究复杂单产品多目标网络调度机制，实现具有协同计算能力的分布式设备多目标协同制造的网络综合调度系统。重要结果和关键数据是提高产品制造效率约30%。科学意义是该项目不仅是创新的应用基础研究，而且符合当前对产品多样化需求和重要资源分布不均衡的国情，既可以促进综合调度和协同计算的深入研究，又可以更合理优化地组织网络设备资源生产，缩短生产周期，降低成本，提高生产效率。该项目的研究与实现还符合当前“中国制造 2025”和“互联网+制造”的国家需求，有重要的理论和社会意义，将会产生可观的经济效益。

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