Open Access
,
volume 18
,
issue 2
,
pages JAMDSM0019
A mathematical model for optimal switching problem of production line based on the OCRA method for ergonomics
Publication type: Journal Article
Publication date: 2024-02-13
scimago Q3
wos Q4
SJR: 0.314
CiteScore: 1.7
Impact factor: 1.0
ISSN: 18813054
Mechanical Engineering
Industrial and Manufacturing Engineering
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GOST
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Zhao M., Sun J., Nakade K. A mathematical model for optimal switching problem of production line based on the OCRA method for ergonomics // Journal of Advanced Mechanical Design, Systems and Manufacturing. 2024. Vol. 18. No. 2. p. JAMDSM0019.
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Zhao M., Sun J., Nakade K. A mathematical model for optimal switching problem of production line based on the OCRA method for ergonomics // Journal of Advanced Mechanical Design, Systems and Manufacturing. 2024. Vol. 18. No. 2. p. JAMDSM0019.
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RIS
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TY - JOUR
DO - 10.1299/jamdsm.2024jamdsm0019
UR - https://doi.org/10.1299/jamdsm.2024jamdsm0019
TI - A mathematical model for optimal switching problem of production line based on the OCRA method for ergonomics
T2 - Journal of Advanced Mechanical Design, Systems and Manufacturing
AU - Zhao, Mingjuan
AU - Sun, Jing
AU - Nakade, Koichi
PY - 2024
DA - 2024/02/13
PB - Japan Society of Mechanical Engineers
SP - JAMDSM0019
IS - 2
VL - 18
SN - 1881-3054
ER -
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BibTex (up to 50 authors)
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@article{2024_Zhao,
author = {Mingjuan Zhao and Jing Sun and Koichi Nakade},
title = {A mathematical model for optimal switching problem of production line based on the OCRA method for ergonomics},
journal = {Journal of Advanced Mechanical Design, Systems and Manufacturing},
year = {2024},
volume = {18},
publisher = {Japan Society of Mechanical Engineers},
month = {feb},
url = {https://doi.org/10.1299/jamdsm.2024jamdsm0019},
number = {2},
pages = {JAMDSM0019},
doi = {10.1299/jamdsm.2024jamdsm0019}
}
Cite this
MLA
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Zhao, Mingjuan, et al. “A mathematical model for optimal switching problem of production line based on the OCRA method for ergonomics.” Journal of Advanced Mechanical Design, Systems and Manufacturing, vol. 18, no. 2, Feb. 2024, p. JAMDSM0019. https://doi.org/10.1299/jamdsm.2024jamdsm0019.