A robust chance-constrained programming approach for a bi-objective pre-emptive multi-mode resource-constrained project scheduling problem with time crashing

Publication typeJournal Article
Publication date2023-09-13
scimago Q2
wos Q2
SJR0.755
CiteScore6.3
Impact factor3.3
ISSN23302674, 23302682
Information Systems
Management Information Systems
Information Systems and Management
Management Science and Operations Research
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Shahabi-Shahmiri R. et al. A robust chance-constrained programming approach for a bi-objective pre-emptive multi-mode resource-constrained project scheduling problem with time crashing // International Journal of Systems Science: Operations and Logistics. 2023. Vol. 10. No. 1.
GOST all authors (up to 50) Copy
Shahabi-Shahmiri R., Kyriakidis T., Ghasemi M., Mirnezami S., Mirjalili S. A robust chance-constrained programming approach for a bi-objective pre-emptive multi-mode resource-constrained project scheduling problem with time crashing // International Journal of Systems Science: Operations and Logistics. 2023. Vol. 10. No. 1.
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RIS Copy
TY - JOUR
DO - 10.1080/23302674.2023.2253147
UR - https://doi.org/10.1080/23302674.2023.2253147
TI - A robust chance-constrained programming approach for a bi-objective pre-emptive multi-mode resource-constrained project scheduling problem with time crashing
T2 - International Journal of Systems Science: Operations and Logistics
AU - Shahabi-Shahmiri, Reza
AU - Kyriakidis, Thomas
AU - Ghasemi, Mohammad
AU - Mirnezami, Seyed-Ali
AU - Mirjalili, Seyedali
PY - 2023
DA - 2023/09/13
PB - Taylor & Francis
IS - 1
VL - 10
SN - 2330-2674
SN - 2330-2682
ER -
BibTex
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BibTex (up to 50 authors) Copy
@article{2023_Shahabi-Shahmiri,
author = {Reza Shahabi-Shahmiri and Thomas Kyriakidis and Mohammad Ghasemi and Seyed-Ali Mirnezami and Seyedali Mirjalili},
title = {A robust chance-constrained programming approach for a bi-objective pre-emptive multi-mode resource-constrained project scheduling problem with time crashing},
journal = {International Journal of Systems Science: Operations and Logistics},
year = {2023},
volume = {10},
publisher = {Taylor & Francis},
month = {sep},
url = {https://doi.org/10.1080/23302674.2023.2253147},
number = {1},
doi = {10.1080/23302674.2023.2253147}
}