Enhancing Efficiency and Profit Growth in Automotive Final Assembly: A System Dynamics Approach to Automated Feeding and Fastening Systems

Jinrui Liu, Andrew Huey Ping Tan*, Yufan Zheng, Yang Luo, Joe Lo Ying Tuan

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

As a long-established and huge industry, the automotive industry needs to follow the era of Industry 4.0 and embark on the path of automation and digital transformation. The impact of adoption of these technologies into automotive production lines, especially from a systems view, however, remain unknown. The main objective of this research is to design a conceptual model of an automated feeding and fastening system applied in an automotive final assembly line by utilising system dynamics methodology whilst considering aspects such as production capacity, cost and profits. This research includes a literature research of automotive assembly lines, the principles of automated feed pickup and fastening, and human-machine collaboration; the conceptual design of the system; and the construction and simulation of the system dynamics model, and the analysis of the simulation results was carried out in order to draw conclusions. Simulation results show that the application of such automation systems can indeed increase the production capacity, reduce the operating costs, and increase the profits.

Original languageEnglish
Title of host publicationSelected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics
EditorsWei Chen, Andrew Huey Ping Tan, Yang Luo, Long Huang, Yuyi Zhu, Anwar PP Abdul Majeed, Fan Zhang, Yuyao Yan, Chenguang Liu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages221-233
Number of pages13
ISBN (Print)9789819639489
DOIs
Publication statusPublished - 2025
Event2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Suzhou, China
Duration: 22 Aug 202423 Aug 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1316 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024
Country/TerritoryChina
CitySuzhou
Period22/08/2423/08/24

Keywords

  • Automated Feeding and Fastening Systems
  • Automation Transformation
  • System Dynamics

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