板式家具智能制造开料工序设备时间开动率分析
Analysis of Operation Effectiveness of Cutting Machinery in Intelligent Manufacturing for Panel Furniture
- 2022年36卷第4期 页码:32-37
DOI: 10.12326/j.2096-9694.2021176
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1.南京林业大学家居与工业设计学院,江苏南京 210037
2.索菲亚家居湖北有限公司,湖北武汉 430000
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白洪涛,熊先青,王军祥等.板式家具智能制造开料工序设备时间开动率分析[J].木材科学与技术,2022,36(04):32-37.
BAI Hong-tao,XIONG Xian-qing,WANG Jun-xiang,et al.Analysis of Operation Effectiveness of Cutting Machinery in Intelligent Manufacturing for Panel Furniture[J].Chinese Journal of Wood Science and Technology,2022,36(04):32-37.
开料工序设备时间开动率对家具生产线生产效率影响较大。根据调研国内某大型家具智能工厂开料工序设备使用状况及故障维修情况,采用设备综合效率(overall equipment efficiency,OEE)分析影响开料工序生产效率的主要设备,包括废料处理装置、运输线体、条形码打印机和电子开料锯等。管理模式落后、配件管理欠缺和故障反馈机制缺陷是造成设备时间开动率低的根本原因。
The efficiency of a furniture production line is greatly affected by the operation effectiveness of the first cutting process. In this study, the equipment performance and failure maintenance during the cutting process in a large domestic intelligent furniture factory was investigated. The authors applied the overall equipment efficiency model to analyze the effects of the main equipment on the production efficiency of the cutting process, including waste disposal device, automatic line, bar code printer, and electronic cutting saw, etc. The principle reasons causing the low operation effectiveness of cutting machinery were identified: the backward management mode, the lack of spare parts management, and the defect of fault feedback mechanism.
板式家具智能工厂开料工序时间开动率设备综合效率(OEE)
panel furnitureintelligent factorycutting processoperation effectivenessoverall equipment efficiency
熊先青, 岳心怡. 中国家居智能制造技术研究与应用进展[J]. 林业工程学报, 2022, 7(2): 26-34.
XIONG X Q, YUE X Y. Research and application progress of home intelligent manufacturing technologies in China[J]. Journal of Forestry Engineering, 2022, 7(2): 26-34.
陆彬盛, 沈璐婕. 设备OEE计算与停机损失分析研究[J]. 电子元器件与信息技术, 2020, 4(11): 160-162.
陈子鉴. Z公司钢绞线生产设备OEE改善研究[D]. 太原: 中北大学, 2021.
周卓蓉, 熊先青, 王军祥, 等. 全员生产保全体系在定制家居企业设备管理中的应用[J]. 木材科学与技术, 2022, 36(3): 20-25.
ZHOU Z R, XIONG X Q, WANG J X, et al. Equipment management of customized furnishing manufacturers based on total productive maintenance[J]. Chinese Journal of Wood Science and Technology, 2022, 36(3): 20-25.
姚倩, 李荣荣, 龚建钊. 基于设备综合效率的板式家具封边机生产效率分析与评价[J]. 木材科学与技术, 2022, 36(3): 26-32.
YAO Q, LI R R, GONG J Z. Evaluation of production efficiency of panel furniture edge banding machine based on overall equipment efficiency[J]. Chinese Journal of Wood Science and Technology, 2022, 36(3): 26-32.
毛恒之, 刘祎, 徐伟, 等. 木材加工余料再利用设计研究:以日本飞騨家具馆木制工艺品为例[J]. 家具, 2018, 39(5): 35-39.
熊先青, 刘慧, 庞小仁. 大规模定制家具柔性制造系统构建与关键技术[J]. 木材工业, 2019, 33(2): 20-24.
XIONG X Q, LIU H, PANG X R. Flexible manufacturing system for mass customization manufacturing in furniture industry [J]. China Wood Industry, 2019, 33(2): 20-24.
刘慧, 熊先青, 于克, 等. 板式定制家具智能分拣系统关键技术架构[J]. 木材工业, 2019, 33(6): 33-37.
LIU H, XIONG X Q, YU K, et al. Technical framework of smart sorting system for making customized panel furniture[J]. China Wood Industry, 2019, 33(6): 33-37.
李荣荣, 姚倩. 面向智能制造的板式定制家具柔性生产线设备配置[J]. 木材科学与技术, 2021, 35(2): 23-29.
LI R R, YAO Q. Research on equipment configurations of the flexible production line for intelligently manufacturing customized panel furnitures[J]. Chinese Journal of Wood Science and Technology, 2021, 35(2): 23-29.
熊先青, 李荣荣, 白洪涛. 中国智能家具产业现状与发展趋势[J]. 林业工程学报, 2021, 6(1): 21-28.
XIONG X Q, LI R R, BAI H T. Research status and development trend of intelligent furniture in China[J]. Journal of Forestry Engineering, 2021, 6(1): 21-28.
岳心怡, 熊先青. 大规模定制家具开料工段余料的管控方法[J]. 木材科学与技术, 2022, 36(2): 26-30.
YUE X Y, XIONG X Q.Wood residual management method in sawmilling section of mass customized furniture manufacturing[J].Chinese Journal of Wood Science and Technology, 2022, 36(2): 26-30.
马泽锋, 吴智慧, 沈忠民. 板式定制家具企业生产设备管理探究[J]. 家具, 2020, 41(5): 85-89.
MA Z F, WU Z H, SHEN Z M. Research and analysis of the manufacturing equipment management of panel customized furniture enterprises[J]. Furniture, 2020, 41(5): 85-89.
何凯, 李洪丞, 曹华军, 等.基于功率信息的机床设备综合效率智能识别方法[J/OL]. 重庆大学学报:1-14 [2022-07-27]. http://kns.cnki.net/kcms/detail/50.1044.N.20210419.1118.002.htmlhttp://kns.cnki.net/kcms/detail/50.1044.N.20210419.1118.002.html.
马其波, 靳聪, 康霓, 等. 基于DEA-TOPSIS组合模型的大型医疗设备利用效率综合评价研究[J]. 中国医疗设备, 2020, 35(8): 122-125, 147.
MA Q B, JIN C, KANG N, et al. Study on comprehensive evaluation of utilization efficiency of large medical equipment based on DEA-TOPSIS combined model[J]. China Medical Devices, 2020, 35(8): 122-125, 147.
周橙旻, 吕一心, 李臻瑜, 等. 木门表面材质的感性意象量化研究与分析[J]. 林业工程学报, 2021, 6(6): 184-189.
ZHOU C M, LYU Y X, LI Z Y, et al. Quantitative analysis of perceptual images of wooden door surface materials[J]. Journal of Forestry Engineering, 2021, 6(6): 184-189.
白洪涛, 熊先青. 柔性制造对定制家居智能分拣系统的影响[J]. 家具, 2021, 42(2): 18-21.
BAI H T, XIONG X Q. Influence of flexible manufacturing on intelligent sorting system in customized home furnishing[J]. Furniture, 2021, 42(2): 18-21.
王安正, 关惠元. 面向大规模定制的实木家具产品设计标准化研究[J]. 家具与室内装饰, 2018(10): 56-59.
WANG A Z, GUAN H Y. Study on standardized product design of solid wood furniture for mass customization[J]. Furniture & Interior Design, 2018(10): 56-59.
吴智慧, 沈忠民. 板式家具生产中典型开料与裁板设备[J]. 家具, 2019, 40(6): 1-4, 29.
WU Z H, SHEN Z M. Typical techniques and equipment of cutting and sawing in the production of panel-type furniture[J]. Furniture, 2019, 40(6): 1-4, 29. (本文编校 向 琴)
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