پديد آورنده :
قاسمي، زهرا
عنوان :
كاربرد داده كاوي در كشف دانش مربوط به كيفيت محصولات: مطالعه موردي واحد نورد سرد فولاد مباركه اصفهان
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان،دانشكده صنايع
صفحه شمار :
ده،125ص.:مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
علي همداني
استاد مشاور :
سروش عليمرادي
توصيفگر ها :
پايگاه هاي داده , پيش بيني , خط گالوانيزه
تاريخ نمايه سازي :
11/3/89
استاد داور :
حامد تركش،حميد مير محمدي
دانشكده :
مهندسي صنايع و سيستم ها
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
130 Application of Data Mining Techniques for Knowledge Discovery of Product Quality Case Study Cold rolling mill of Esfahan s Mobarakeh Steel Company Zahra Ghasemi z ghasemivinche@in iut ac ir Date of Submission 2010 3 14 Department of Industrial System engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Ali Hamadani hamadani@cc iut ac ir Abstract Nowadays the volume of data grows with an increasingly rate Daily growth of data needs new techniques that intelligently analyses these data and discover the hidden knowledge of them Data mining provides some tools for analyzing mass databases discovering processes patterns and knowledge Having a massive database Esfahan Mobarakeh steel company is considered as a comprehensive case for applying data mining techniques The galvanizing line of steel sheets with the ability of producing 200000 tons of galvanized steel sheets per year is an important production line in this company The mechanical specifications of galvanized sheets are the most important parameters that must be controlled exactly because they affect the product quality considerably For the first time in this work data mining techniques are applied for analyzing the database of Esfahan Mobarakeh steel company and finally some models are presented for forecasting of mechanical specifications of galvanized sheet These models forecast the mechanical specifications of the galvanized sheets and also show the effect of furnace heat and velocity of production line on the mechanical specifications Finally these forecasted specifications will be compared with the existing standards and some results are represented Keywords Knowledge discovery in databases Data mining prediction galvanized line
استاد راهنما :
علي همداني
استاد مشاور :
سروش عليمرادي
استاد داور :
حامد تركش،حميد مير محمدي
