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Data Mining for Material Feeding Optimization of Printed Circuit Board Template Production
المؤلفون المشاركون
Lv, Shengping
Zheng, Binbin
Kim, Hoyeol
Yue, Qiangsheng
المصدر
Journal of Electrical and Computer Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-04-01
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Improving the accuracy of material feeding for printed circuit board (PCB) template orders can reduce the overall cost for factories.
In this paper, a data mining approach based on multivariate boxplot, multiple structural change model (MSCM), neighborhood component feature selection (NCFS), and artificial neural networks (ANN) was developed for the prediction of scrap rate and material feeding optimization.
Scrap rate related variables were specified and 30,117 samples of the orders were exported from a PCB template production company.
Multivariate boxplot was developed for outlier detection.
MSCM was employed to explore the structural change of the samples that were finally partitioned into six groups.
NCFS and ANN were utilized to select scrap rate related features and construct prediction models for each group of the samples, respectively.
Performances of the proposed model were compared to manual feeding, ANN, and the results indicate that the approach exhibits obvious superiority to the other two methods by reducing surplus rate and supplemental feeding rate simultaneously and thereby reduces the comprehensive cost of raw material, production, logistics, inventory, disposal, and delivery tardiness compensation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lv, Shengping& Zheng, Binbin& Kim, Hoyeol& Yue, Qiangsheng. 2018. Data Mining for Material Feeding Optimization of Printed Circuit Board Template Production. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1184374
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lv, Shengping…[et al.]. Data Mining for Material Feeding Optimization of Printed Circuit Board Template Production. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1184374
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lv, Shengping& Zheng, Binbin& Kim, Hoyeol& Yue, Qiangsheng. Data Mining for Material Feeding Optimization of Printed Circuit Board Template Production. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1184374
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1184374
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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