Abstract: As the important material carrier of manufacturing technology,equipment resource is an important part of the transformation and upgrading of enterprises to intelligent manufacturing.The improvement of equipment resources allocation level is of great significance to enhance the competitiveness of enterprises.Previous studies neglected the differences and complexity of task functional requirements,and the demander's preference dependence on association behavior on attributes,which had obvious defects.To solve the above problems,a bi-level optimization model of equipment resources was proposed,and the corresponding solving algorithm was designed to generate candidate solution sets.An optimal selection model based on attribute relative variable weight decision was proposed to obtain the optimal comprehensive evaluation scheme from candidate solution sets.Case analysis showed that the proposed method had the good performance,and the optimal equipment resource allocation scheme could be obtained,which was highly consistent with demander's views on attribute-dependence preference and objective facts,and had the good performance.

Key words: intelligent manufacturing, hierarchical strategy, relative variable weight decision, preference dependence, equipment resource, optimal selection

摘要： 设备资源作为制造技术的重要物质载体是企业向智能制造转型升级中的重要组成部分,其配置水平的提高对于增强企业竞争力具有重要意义。以往的研究主要是将制造任务相关的成本和负载等作为目标建立优化模型,忽略了任务功能需求的差异性和复杂性,且在决策方法方面忽略了需求方在属性上的偏好依赖关联行为,存在一定的缺陷。针对上述问题,提出一种设备资源双层优化模型,并设计了相应的求解算法生成候选方案集合;提出基于属性相对变权决策的优选模型从候选方案集合中获取综合评价最优的方案。仿真实验表明:运用所提方法可以生成与需求方关于属性偏好依赖关联看法及客观事实高度相符且综合评价最优的方案,具有良好的性能。

关键词: 智能制造, 分层策略, 相对变权决策, 偏好依赖, 设备资源, 优化选择