Conceptual Design and Simulation of an Automotive Body Shop Assembly Line

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.

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

Volume 1: 30th Design Automation Conference ◽

10.1115/detc2004-57370 ◽

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.

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Conceptual Design Environment For Automated Assembly Line – Framework

10.18260/1-2--2339 ◽

2020 ◽

Author(s):

Sheng-Jen Hsieh

Keyword(s):

Conceptual Design ◽

Assembly Line ◽

Automated Assembly ◽

Design Environment

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

Economic and Industrial Democracy ◽

10.1177/0143831x20940779 ◽

2020 ◽

pp. 0143831X2094077 ◽

Cited By ~ 1

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.

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