挂车阀产品测试过程中的质量改进研究
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摘要
产品质量作为企业生产过程中一个关键产品指标,若未得到有效控制将直接对企业的信誉、企业竞争力及客户满意度造成严重影响。本文运用柏拉图、SIPOC、C&E矩阵、5WHY和双样本T-test等质量工具对产品测试过程中的质量改进进行研究,并结合BETT公司(化名)挂车阀产品的密封性测试过程泄漏率高问题进行分析。最终使BETT公司挂车阀产品密封性测试的泄漏率由7%降低到2%,使该公司挂车阀产线产能显著提高且降低了过程成本。
Product quality has been a key product index in the production process of an enterprise. If it is out of effective control, it will directly affect the enterprise’s reputation, competitiveness and customer satisfaction. This paper applies the quality tools such as Pareto, SIPOC, C&E matrix, 5 WHY and t-test of two samples to study the quality improvement of product test process, and analyzes the high leakage rate in the test process of trailer control valve product of BETT company.Finally, it reduces the leakage rate of the test of the trailer control valve product of BETT company from 7% to 2%, which significantly improves the production line capacity of the trailer control valve of BETT company and reduces the process cost.
Product quality has been a key product index in the production process of an enterprise. If it is out of effective control, it will directly affect the enterprise’s reputation, competitiveness and customer satisfaction. This paper applies the quality tools such as Pareto, SIPOC, C&E matrix, 5 WHY and t-test of two samples to study the quality improvement of product test process, and analyzes the high leakage rate in the test process of trailer control valve product of BETT company.Finally, it reduces the leakage rate of the test of the trailer control valve product of BETT company from 7% to 2%, which significantly improves the production line capacity of the trailer control valve of BETT company and reduces the process cost.
引文
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[11]李磊,谢淑娟,蔡靖,倪明放.制造企业产品质量问题的信号博弈模型[J].数学的实践与认识,2015,45(7):31-35.
[2]T A.J.Thomas,M.Francis,R.Fisher&P.Byard.Implementing Lean Six Sigma to overcome the production challenges in an aerospace company[J],Production Planning&Control,2016,27(7-8):591-603.
[3]王兆华,周燕飞.面向离散制造企业产品质量追溯系统的研究[J].机械设计与制造工程,2018,47(1):82-85.
[4]张炎亮,秦惜梦,崔庆安.基于PCA&SVM的多品种小批量产品质量预测方法研究[J].科技管理研究,2016(14):234-237.
[5]Taieb Ben Romdhane,Ahmed Badreddine&Manel Sansa.A new model to implement Six Sigma in small-and mediumsized enterprises[J],International Journal of Production Research,2017,55(15):4319-4340.
[6]K.Srinivasan,S.Muthu,S.R.Devadasan&C.Sugumaran.Enhancement of sigma level in the manufacturing of furnace nozzle through DMAIC approach of Six Sigma:a case study[J].Production Planning&Control,2016,27(10):810-822.
[7]E.V.Gijo,Raniprasad Palod&Jiju Antony.Lean Six Sigma approach in an Indian auto ancillary conglomerate:a case study[J].Production Planning&Control,2018,5.8.
[8]Roland Stankalla,Oksana Koval&Felicita Chromjakova.A review of critical success factors for the successful implementation of Lean Six Sigma and Six Sigma in manufacturing small and medium sized enterprises[J].Quality Engineering,2018,0(0),1-16.
[9]刘晓冰,王霄,蒙秋男.概率粗糙集模型在产品质量决策中的应用[J].统计与决策,2009(13):36-37.
[10]谢家平,迟琳娜,梁玲.基于产品质量内生的制造/再制造最优生产决策[J].管理科学学报,2012,15(8):12-23.
[11]李磊,谢淑娟,蔡靖,倪明放.制造企业产品质量问题的信号博弈模型[J].数学的实践与认识,2015,45(7):31-35.