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| AHP-模糊算法在卷烟制丝过程质量评价中的应用 |
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陈得丽,高立秀,孙成顺,张彪,陶彪,敖茂
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红云红河烟草(集团)有限责任公司曲靖卷烟厂，云南 曲靖 655001
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| 摘要: |
| 目的 为解决现有制丝评价系统粗放，只注重质量结果的评价，忽略控制过程本身的问题，建立适应当前工艺现状和过程控制数据分布特点的综合评价与管控方法。方法 通过在工段、工序、工艺参数多层级间构建科学的评价结构，采用层次分析法计算各层级间指标权重，基于模糊算法建立百分制质量指数表征函数，最终通过批次综合得分Sbatch模型进行工艺质量评估。结果 新构建的评价模型精准科学地评估了批次全工序过程控制水平，根据综合得分，可以实时追溯批次弱项指标并改进，批次优秀率(批次综合得分大于95分)达91.2%。结论 构建了集约的制丝评价体系，从工艺参数到工序深入挖掘分析生产过程控制情况，实现了由结果评价向过程评价的转变，给生产操作工和工艺管理员提供实时借鉴，不断提高过程控制水平。 |
| 关键词: 制丝工艺 层次分析法 模糊算法 百分制质量指数表征函数 综合评价 |
| DOI：10.19554/j.cnki.1001-3563.2020.23.027 |
| 分类号:TS452 |
| 基金项目:红云红河烟草(集团)有限责任公司科技项目(HYHH2018XX04) |
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| Application of AHP-Fuzzy Algorithm in Quality Evaluation of TobaccoPrimary Processing |
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CHEN De-li, GAO Li-xiu, SUN Cheng-shun, ZHANG Biao, TAO Biao, AO Mao
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(Qujing Cigarette Factory, Hongyun Honghe Tobacco (Group) Co., Ltd., Qujing 655001, China)
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| Abstract: |
| The work aims to establish a comprehensive evaluation and control method to adapt to the current process status and process control data distribution characteristics, so as to solve the problem of extensive evaluation system of existing silk making, only focusing on the evaluation of quality results, ignoring the problem of control process itself. Through the construction of scientific evaluation structure among the multi-level of work section, process and process parameter, the weight of each level index was calculated by AHP. The quality index representation function of percentage system was established based on fuzzy algorithm. Finally, the process quality was evaluated by the comprehensive batch score model. The new evaluation model accurately and scientifically evaluated the whole process control level of the batch. According to the comprehensive score, the batch weak indicators can be traced and improved in real time, the excellent rate of the batch (the comprehensive score of the batch was greater than 95 points) was 91.2%. An intensive evaluation system for silk production is constructed. The deeply analysis of the production process control in the production from process parameters to the process step realizes the transformation from result evaluation to process evaluation, which can provide real-time reference to the operators and the manager of process, then helping them constantly improve the process control level. |
| Key words: wire-making process hierarchical analysis fuzzy algorithm percentage-based mass index characterization function comprehensive evaluation |
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