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

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