| 王冬磊,闫文涛,张智禹,尹爱军.含能材料生产系统排产中的瓶颈设备识别方法研究[J].装备环境工程,2021,18(8):72-77. WANG Dong-lei,YAN Wen-tao,ZHANG Zhi-yu,YIN Ai-jun.Research on Bottleneck Equipment Identification Method in Production Scheduling of Energetic Materials Production System[J].Equipment Environmental Engineering,2021,18(8):72-77. |
| 含能材料生产系统排产中的瓶颈设备识别方法研究 |
| Research on Bottleneck Equipment Identification Method in Production Scheduling of Energetic Materials Production System |
| 投稿时间：2021-05-06 修订日期：2021-06-08 |
| DOI：10.7643/issn.1672-9242.2021.08.013 |
| 中文关键词: 含能材料 瓶颈识别 灵敏度分析 TOPSIS法中图分类号:TJ104 文献标识码:A 文章编号:1672-9242(2021)08-0072-06 |
| 英文关键词:energetic materials bottleneck identification sensitivity analysis TOPSIS method |
| 基金项目:重庆市人工智能技术创新重大主题专项重点项目(cstc2017rgzn-zdyfx0007) |
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| Author | Institution |
| WANG Dong-lei | Institute of Chemical Materials, China Academy of Engineering Physics, Mianyang 621900, China |
| YAN Wen-tao | School of Mechanical Engineering, Chongqing University, Chongqing 400044, China |
| ZHANG Zhi-yu | School of Mechanical Engineering, Chongqing University, Chongqing 400044, China |
| YIN Ai-jun | School of Mechanical Engineering, Chongqing University, Chongqing 400044, China |
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| 中文摘要: |
| 目的 识别含能材料生产车间中的瓶颈设备，对生产系统作出预警，为排产方案制定以及实际生产工作提供指导，改善生产系统的加工效率。方法 针对传统瓶颈设备识别方法评价指标单一、识别过程复杂的问题，研究一种基于灵敏度分析和逼近理想解排序法(TOPSIS)融合的瓶颈设备识别方法。该算法首先确定作业指标与设备加工量关系的灵敏度矩阵，然后运用逼近理想解排序法，计算设备的综合瓶颈指数，通过比较各设备的综合瓶颈指数，识别出瓶颈设备。结果 采用含能材料生产车间实际数据进行仿真实验，可以在生产系统运行之前识别出系统中的瓶颈设备。结论 通过与其他方法进行对比分析，验证了研究的方法的有效性和优越性。 |
| 英文摘要: |
| This paper aims to identify the bottleneck equipment in the production workshop of energetic materials, give early warning to the production system, provide guidance for the production scheduling plan and actual production work, and improve the processing efficiency of the production system. Aiming at the problems of single evaluation index and complicated identification process of traditional bottleneck equipment identification method, this paper studies a bottleneck equipment identification method based on the fusion of sensitivity analysis and TOPSIS. The algorithm first determines the sensitivity matrix of the relationship between the operation index and the processing capacity of the equipment, and then uses the technique for order preference by similarity to ideal solution (TOPSIS) to calculate the comprehensive bottleneck index of the equipment, and identifies the bottleneck equipment by comparing the comprehensive bottleneck index of each equipment. Using the actual data of the energetic material production workshop for simulation experiments, the bottleneck equipment in the system can be identified before the operation of production system. The comparative analysis with other methods verifies that this research method is effective and superior. |
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