Risk Analysis of Production Process of Engine Oil Carter using FMEA
Publish place: چهارمین کنفرانس بین المللی علوم و مهندسی
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 617
This Paper With 9 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICESCON04_004
تاریخ نمایه سازی: 25 آذر 1395
Abstract:
Nowadays, research and analysis of risk factors of manufacturing systems, have considered in some fields such as automobile manufacturing industries, aerospace, electronics, chemicals and other manufacturing industries. One of tools that can be used in this context, is FMEA method. This method help manger or designer in detection of failures, their effects and solutions before operating process or design. In this research, applying FMEA in automobile manufacturing, is studied. Among various automobile manufacturing industries process, manufacturing process of engine oil carter. Data of this research, has achieved based on the ideas of experts and specialists of the relevant subject. By applying the idea of experts and specialists, the cases of potential failure and their effects, rate and number of severity, occurrence, and detection of obtained failures, have obtained and finally, risk priority number (RPN), has obtained. These results can be effective for upgrading the above mentioned automobile manufacturing system.
Keywords:
Authors
Hamidreza Feili
Assistant Professor, Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
Faezeh Souri
B.Sc. Student, Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
Mojtaba Qomi
B.Sc., Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
Delband Ghanaatpour
B.Sc. Student, Department of 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 :