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Research on Bottleneck Equipment Identification Method in Production Scheduling of Energetic Materials Production System |
Received:May 06, 2021 Revised:June 08, 2021 |
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DOI:10.7643/issn.1672-9242.2021.08.013 |
KeyWord:energetic materials bottleneck identification sensitivity analysis TOPSIS method |
Author | Institution |
WANG Dong-lei |
Institute of Chemical Materials, China Academy of Engineering Physics, Mianyang , China |
YAN Wen-tao |
School of Mechanical Engineering, Chongqing University, Chongqing , China |
ZHANG Zhi-yu |
School of Mechanical Engineering, Chongqing University, Chongqing , China |
YIN Ai-jun |
School of Mechanical Engineering, Chongqing University, Chongqing , China |
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Abstract: |
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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