A Simulation Analysis for Reverse Logistics in Automobile Subcon Industry
One of the biggest and most significant sectors in the world is the automobile industry. To make and deliver a vehicle, a number of supply chain operations are needed, such as sourcing and procurement, production, and logistics management. Among the operations, reverse logistics is a value added to...
Published in: | 2024 IEEE 15TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM, ICSGRC 2024 |
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Format: | Proceedings Paper |
Language: | English |
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IEEE
2024
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Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001345150000033 |
author |
Haris Muhammad Hakimi; Shariff S. Sarifah Radiah; Zahari Siti Meriam; Nugroho Bernardus Yuliarto |
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Haris Muhammad Hakimi; Shariff S. Sarifah Radiah; Zahari Siti Meriam; Nugroho Bernardus Yuliarto A Simulation Analysis for Reverse Logistics in Automobile Subcon Industry Automation & Control Systems; Engineering |
author_facet |
Haris Muhammad Hakimi; Shariff S. Sarifah Radiah; Zahari Siti Meriam; Nugroho Bernardus Yuliarto |
author_sort |
Haris |
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Haris, Muhammad Hakimi; Shariff, S. Sarifah Radiah; Zahari, Siti Meriam; Nugroho, Bernardus Yuliarto A Simulation Analysis for Reverse Logistics in Automobile Subcon Industry 2024 IEEE 15TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM, ICSGRC 2024 English Proceedings Paper One of the biggest and most significant sectors in the world is the automobile industry. To make and deliver a vehicle, a number of supply chain operations are needed, such as sourcing and procurement, production, and logistics management. Among the operations, reverse logistics is a value added to other industries meanwhile for automobile, it is still unclear whether it can be profitable or not. The current implementation in the industry needs to be analysed for the improvement process and its impact. In this study, a Discrete Event Simulation (DES) method has been used to analyse three scenarios including the repairing, recycling and remanufacturing time, taking into account stochastic parameters of damage occurrences in automobile subcon industry. In addition, the stability of the simulation model was also analyzed and comparable results are concluded for its impact. IEEE 2638-1710 2024 10.1109/ICSGRC62081.2024.10691143 Automation & Control Systems; Engineering WOS:001345150000033 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001345150000033 |
title |
A Simulation Analysis for Reverse Logistics in Automobile Subcon Industry |
title_short |
A Simulation Analysis for Reverse Logistics in Automobile Subcon Industry |
title_full |
A Simulation Analysis for Reverse Logistics in Automobile Subcon Industry |
title_fullStr |
A Simulation Analysis for Reverse Logistics in Automobile Subcon Industry |
title_full_unstemmed |
A Simulation Analysis for Reverse Logistics in Automobile Subcon Industry |
title_sort |
A Simulation Analysis for Reverse Logistics in Automobile Subcon Industry |
container_title |
2024 IEEE 15TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM, ICSGRC 2024 |
language |
English |
format |
Proceedings Paper |
description |
One of the biggest and most significant sectors in the world is the automobile industry. To make and deliver a vehicle, a number of supply chain operations are needed, such as sourcing and procurement, production, and logistics management. Among the operations, reverse logistics is a value added to other industries meanwhile for automobile, it is still unclear whether it can be profitable or not. The current implementation in the industry needs to be analysed for the improvement process and its impact. In this study, a Discrete Event Simulation (DES) method has been used to analyse three scenarios including the repairing, recycling and remanufacturing time, taking into account stochastic parameters of damage occurrences in automobile subcon industry. In addition, the stability of the simulation model was also analyzed and comparable results are concluded for its impact. |
publisher |
IEEE |
issn |
2638-1710 |
publishDate |
2024 |
container_volume |
|
container_issue |
|
doi_str_mv |
10.1109/ICSGRC62081.2024.10691143 |
topic |
Automation & Control Systems; Engineering |
topic_facet |
Automation & Control Systems; Engineering |
accesstype |
|
id |
WOS:001345150000033 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001345150000033 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1823296086265036800 |