Using Simulation to Design a Lean Material Delivery System in an Automotive Body Shop

1999 ◽  
Author(s):  
Muhammad A. Azim
Keyword(s):  
Delivery System ◽  
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

Managing and improving robot spot welding efficiency: a benchmarking study

2014 ◽  
Vol 21 (3) ◽  
pp. 344-363 ◽  
Author(s):  
Raed El-Khalil
Keyword(s):  
North America ◽  
Spot Welding ◽  
Business Performance ◽  
The Body ◽  
Vehicle Body ◽  
Body Shop ◽  
Content Type ◽  
Automotive Body ◽  
The Body Shop ◽  
Domestic Companies

Purpose – The paper presents a benchmarking analysis that investigates the efficiency gap in relation to spot welding robots in automotive body shops at foreign and domestic companies in North America. The main purpose of this paper is to determine body shop efficiency improvement opportunities for the domestic companies or the Big Three, therefore reducing the competitive gap and improving business performance. Design/methodology/approach – The following paper is an extension of an earlier dissertation study conducted by EL-Khalil that focused on improving body shop overall efficiency. The Harbour Report was utilized to determine the best in class facilities that must be visited for benchmarking purposes. The data and information presented were obtained from the facilities visited through observations and interviews. The research utilized the corresponding facilities' labs in order to perform measurements and inspect product welding efficiency. The data obtained were a result of a two-year benchmarking study. Findings – The inspection results of spot welds applied on the door flange do not justify the utilization of additional spot welding arm designs and/or robots for the domestic companies. The data presented provide a good opportunity for improving business performance at the body shop Big Three facilities. In order to reduce the current competitive gap, decrease cost, and improve utilization, the Big Three must adopt new strategies (i.e. communization of specific vehicles parts). Research limitations/implications – The benchmarking study was limited to the aperture area. Researchers are encouraged to test the propositions further on different types of vehicles and different areas of the vehicle body. Practical implications – Based on the actual findings, this paper presents a case that impacts the improvements of the body shop overall performance in relation to reducing the number of spot welding arm and robot designs at the automotive industry in North America. Originality/value – The presented gap analysis on body shop spot welding efficiency for automotive companies in North America was not conducted previously. Therefore, the data can be utilized as a benchmark target to drive improvements at the domestic automotive body shops.

Data based analysis and improvement of energy efficiency in the automotive body shop

2021 ◽  
Vol 284 ◽  
pp. 125269
Author(s):  
Hanno Teiwes ◽  
Markus Rössinger ◽  
Mark Gonter ◽  
Christoph Herrmann ◽  
Sebastian Thiede
Keyword(s):  
Energy Efficiency ◽  
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

scholarly journals How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines

2020 ◽  
Author(s):  
Johannes Huegle ◽  
Christopher Hagedorn ◽  
Matthias Uflacker
Keyword(s):  
Decision Support ◽  
Graphical Models ◽  
Expert Knowledge ◽  
Failure Diagnosis ◽  
Structural Knowledge ◽  
Assembly Lines ◽  
Monitoring Tool ◽  
Body Shop ◽  
Automotive Body ◽  
On Line

The efficiency of modern automotive body shop assembly lines is highly related to the reduction of downtimes due to failures and quality deviations within the manufacturing process. Consequently, the need for implementing tools into the assembly lines for on-line monitoring, and failure diagnosis, also under the prism of improving the troubleshooting, is of great importance. While the identification of root causes and elimination of failures is usually built upon individual on-site expert knowledge, causal graphical models (CGMs) have opened the possibility to make a purely data-driven assessment. In this demo, we showcase how a CGM of the production process is incorporated into a monitoring tool to function as a decision-support system for an operator of a modern automotive body shop assembly line and enables fast and effective handling of failures and quality deviations.

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