Conceptual Design and Simulation of an Automotive Body Shop Assembly Line

2014 ◽  
pp. 139-140 ◽  
Author(s):  
Remiel Feno ◽  
Aline Cauvin ◽  
Alain Ferrarini
Keyword(s):  
Conceptual Design ◽  
Assembly Line ◽  
Body Shop ◽  
Automotive Body

Conceptual design and simulation of an automotive body shop assembly line

2014 ◽  
Vol 47 (3) ◽  
pp. 760-765 ◽  
Author(s):  
FENO Mahenina Remiel ◽  
Aline CAUVIN ◽  
Alain FERRARINI
Keyword(s):  
Conceptual Design ◽  
Assembly Line ◽  
Body Shop ◽  
Automotive Body

Determining failure distributions for robust simulation model in assembly line of automotive body shop

2015 ◽  
Vol 9 ◽  
pp. 3393-3408
Author(s):  
Sen Xu ◽  
Guan Wang ◽  
Yang Woo Shin ◽  
Dug Hee Moon
Keyword(s):  
Simulation Model ◽  
Assembly Line ◽  
Body Shop ◽  
Automotive Body

Control logic verification for an automotive body assembly line using simulation

2009 ◽  
Vol 47 (24) ◽  
pp. 6835-6853 ◽  
Author(s):  
Chang Mok Park ◽  
Sangchul Park ◽  
Gi-Nam Wang
Keyword(s):  
Assembly Line ◽  
Control Logic ◽  
Automotive Body ◽  
Logic Verification

Performance Prediction of an Automotive Assembly Line Based on ARMA-ANN Modeling

2014 ◽  
Vol 2 (2) ◽  
pp. 22-39 ◽  
Author(s):  
Annamalai Pandian ◽  
Ahad Ali
Keyword(s):  
Prediction Model ◽  
Assembly Line ◽  
Moving Average ◽  
Autoregressive Moving Average ◽  
Market Demand ◽  
Robotic Welding ◽  
Bottom Line ◽  
Automotive Body ◽  
Automotive Assembly ◽  
Body In White

This research paper aims to predict the automotive Body-In-White (BIW) robotic welding assembly line performance. A combinational prediction model based on the Autoregressive Moving Average (ARMA) and Artificial Neural Networks (ANN) is developed. Classical methods are often used to predict the assembly line throughput, but not ideal. A combinational prediction model is applied for comprehensive analysis and prediction of the assembly line throughput. The various case studies presented in this paper indicate that the precision of the model is better than the other models. This research has significant practical value to the assembly plant because, based on the prediction, plant can make commitment to achieve the production to meet the market demand. Unpredictable performance of the assembly line in the plant leads to more overtime, less time for maintenance and eventually hurting the company bottom line.

A Collaborative Rapid Analysis Method for Decision-Making in Assembly Line Design

2004 ◽  
Author(s):  
Masataka Yoshimura ◽  
Satoshi Yoshida ◽  
Yoshinori Konishi ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki ◽  
...  
Keyword(s):  
Decision Making ◽  
Conceptual Design ◽  
Assembly Line ◽  
Rapid Analysis ◽  
Design Stage ◽  
Analysis Method ◽  
Design Engineers ◽  
Volume Flexibility ◽  
Conceptual Design Stage ◽  
Line Design

Many highly accurate computer simulation tools have been developed for assembly line design, such as for simulation of assembly processes, but these tools require much input information and are generally utilized only in detailed design stages. This paper proposes a rapid analysis method for manual assembly line design, which can be utilized in the conceptual design stage. This method is based on a layout tool where design engineers can construct assembly line models using 2- and 3-D views. This method provides design evaluation techniques for multiple important criteria such as volume flexibility, visibility, and so on, using the layout data. Spatial evaluation and quantitative efficiency analyses can be simultaneously performed, which enhance collaborative decision-making in the conceptual design stage.

The extent of job automation in the automobile sector in South Africa

2020 ◽  
pp. 0143831X2094077 ◽  
Author(s):  
Bianca I Chigbu ◽  
Fhulu H Nekhwevha
Keyword(s):  
South Africa ◽  
Assembly Line ◽  
Paint Shop ◽  
Assembly Lines ◽  
Technology Utilization ◽  
Body Shop

This study argues that the automobile sector’s body shop is fully automated, the paint shop is 80% automated, there is about 20% technology utilization in the car assembly line, and the supply for logistics is making a lot more use of machines as well. These percentages are an indicator of how workers have lost the contest with technology in the industry. Many workers are being deskilled and the remaining workers are being reshuffled to assembly lines likely to be automated with time. There should be interventions to ready the workers to adapt to society and the economy, or there will be massive unemployment.

Sign in / Sign up

Export Citation Format

Share Document