Issue |
RAIRO-Oper. Res.
Volume 56, Number 4, July-August 2022
|
|
---|---|---|
Page(s) | 2801 - 2831 | |
DOI | https://doi.org/10.1051/ro/2022138 | |
Published online | 22 August 2022 |
Carbon-emission and waste reduction of a manufacturing-remanufacturing system using green technology and autonomated inspection
1
Department of Industrial & Data Engineering, Hongik University, Wausan-ro 94, Mapo-Gu, Seoul 04066, South Korea
2
Department of Civil and Environmental Engineering, Hongik University, Wausan-ro 94, Mapo-Gu, Seoul 04066, South Korea
* Corresponding author: hseok@hongik.ac.kr
Received:
1
March
2022
Accepted:
28
July
2022
Environmental-friendly technology helps to reduce waste and carbon emissions of an imperfect production system. In general, the defective products generated during the “out-of-control” state are treated as waste. The single-stage manufacturing-remanufacturing system effectively depletes such defective spare parts within the same cycle but causes a tremendous amount of carbon. In such a circumstance, green technology to reduce carbon emissions is highly recommended. Also, the autonomated inspection makes defective detection more reliable and is ultimately helpful for waste reduction. Hence, in this study, we optimize the production plan along with the investments for applying green technology and autonomated inspection in an assembled product manufacturing-remanufacturing system. The numerical result shows that the appropriate green technology decreases carbon emissions up to 2.81% and autonomated inspection reduces the waste up to 2.37%, along with a reduction of entire production cycle cost up to 18.26%. In addition, the setup cost reduction is considered due to the characteristics of assembled product production.
Mathematics Subject Classification: 90B05 / 90B30 / 90B50 / 90C30
Key words: Assembled product planning / environmentally friendly / investment management / cost minimization
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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