Risk Analysis Using FMEA of Manufacturing Process of Female Part of Car Side Door Hinge
Publish place: The 7th International Conference on Economics and Management
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 684
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICOEM01_424
تاریخ نمایه سازی: 25 آذر 1395
Abstract:
Nowadays, research and analysis of risk factors of manufacturingsystems, have considered in some fields such as automobilemanufacturing industries, aerospace, electronics, chemicals and othermanufacturing industries. One of tools that can be used in this context,is FMEA method. This method help manger or designer in detection offailures, their effects and solutions before operating process or design.In this research, applying FMEA in automobile manufacturing, isstudied. Among various automobile manufacturing industries process,manufacturing process of female part in car side door hinge system.Data of this research, has achieved based on the ideas of experts andspecialists of the relevant subject. By applying the idea of experts andspecialists, the cases of potential failure and their effects, rate andnumber of severity, occurrence, and detection of obtained failures, haveobtained and finally, risk priority number (RPN), has obtained. Theseresults can be effective for upgrading the above mentioned automobilemanufacturing system.
Keywords:
Car side door hinge , FMEA
Authors
Hamid Reza Feili
Assistant Professor, Department Of Industrial Engineering, Karaj Branch, Islamic Azad University,Karaj, Iran
Mojtaba Qomi
B.Sc. Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
Hafez Nikzad
B.Sc. Student, Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
Farhad Shahrabi
B.Sc. Student, Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :