A Contribution to Optimized Data Exchange Supporting Automotive Bodywork Engineering

Knowledge-Based Engineering Supporting Die Face Design of Automotive Panels

Sheet metal is commonly used in the automotive industry. The requirements for developing approaches for manufacturing automotive panels have become increasingly important as carmakers seek to shorten their time to market. However, designing and manufacturing mold dies for automotive sheet metal panels is time-consuming as several processes use the trial-and-error method. The die design period f...

A Compact Introduction to Automotive Engineering Knowledge

A data mining approach to employee turnover prediction (case study: Arak automotive parts manufacturing)

Training and adaption of employees are time and money consuming. Employees’ turnover can be predicted by their organizational and personal historical data in order to reduce probable loss of organizations. Prediction methods are highly related to human resource management to obtain patterns by historical data. This article implements knowledge discovery steps on real data of a manufacturing pla...

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

Supporting Global Automotive Product Development Projects through the Integration of Systems Engineering Knowledge

Global automotive companies are vast extended enterprises of geographically dispersed teams that collaborate on the concurrent development of new technologies and multiple vehicle programs. Consequently, it is challenging to effectively capture all new knowledge generated during continuous innovation. Furthermore, current knowledge management tools fail to adequately organise vital new explicit...