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Kyriakidis, Thomas S., Kopanos, Georgios M., Georgiadis, Michael C. (2012) MILP formulations for single- and multi-mode resource-constrained project scheduling problems. Computers & Chemical Engineering, 36. 369-385 doi:10.1016/j.compchemeng.2011.06.007

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Reference TypeJournal (article/letter/editorial)
TitleMILP formulations for single- and multi-mode resource-constrained project scheduling problems
JournalComputers & Chemical Engineering
AuthorsKyriakidis, Thomas S.Author
Kopanos, Georgios M.Author
Georgiadis, Michael C.Author
Year2012 (January)Volume36
PublisherElsevier BV
DOIdoi:10.1016/j.compchemeng.2011.06.007Search in ResearchGate
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Mindat Ref. ID6608944Long-form Identifiermindat:1:5:6608944:1
GUID0
Full ReferenceKyriakidis, Thomas S., Kopanos, Georgios M., Georgiadis, Michael C. (2012) MILP formulations for single- and multi-mode resource-constrained project scheduling problems. Computers & Chemical Engineering, 36. 369-385 doi:10.1016/j.compchemeng.2011.06.007
Plain TextKyriakidis, Thomas S., Kopanos, Georgios M., Georgiadis, Michael C. (2012) MILP formulations for single- and multi-mode resource-constrained project scheduling problems. Computers & Chemical Engineering, 36. 369-385 doi:10.1016/j.compchemeng.2011.06.007
In(n.d.) Computers & Chemical Engineering Vol. 36. Elsevier BV

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Kopanos, Georgios M., Kyriakidis, Thomas S., Georgiadis, Michael C. (2014) New continuous-time and discrete-time mathematical formulations for resource-constrained project scheduling problems. Computers & Chemical Engineering, 68. 96-106 doi:10.1016/j.compchemeng.2014.05.009
Kopanos, Georgios M., Puigjaner, Luis, Georgiadis, Michael C. (2011) Resource-constrained production planning in semicontinuous food industries. Computers & Chemical Engineering, 35. 2929-2944 doi:10.1016/j.compchemeng.2011.04.012
Kopanos, Georgios M., Puigjaner, Luis, Georgiadis, Michael C. (2012) Efficient mathematical frameworks for detailed production scheduling in food processing industries. Computers & Chemical Engineering, 42. 206-216 doi:10.1016/j.compchemeng.2011.12.015
Chakrabortty, Ripon K., Sarker, Ruhul A., Essam, Daryl L. (2016) Multi-mode resource constrained project scheduling under resource disruptions. Computers & Chemical Engineering, 88. 13-29 doi:10.1016/j.compchemeng.2016.01.004
Maghsoudlou, Hamidreza, Afshar-Nadjafi, Behrouz, Niaki, Seyed Taghi Akhavan (2016) A multi-objective invasive weeds optimization algorithm for solving multi-skill multi-mode resource constrained project scheduling problem. Computers & Chemical Engineering, 88. 157-169 doi:10.1016/j.compchemeng.2016.02.018
Georgiadis, Georgios P.; Dimitriadis, Christos N.; Passalis, Nikolaos; Georgiadis, Michael C. (2025) A hybrid ML-MILP framework for the optimal integration of photovoltaic and battery systems in manufacturing industries. Computers & Chemical Engineering, 203. doi:10.1016/j.compchemeng.2025.109356
Georgiadis, Georgios P., Mariño Pampín, Borja, Adrián Cabo, Daniel, Georgiadis, Michael C. (2020) Optimal production scheduling of food process industries. Computers & Chemical Engineering, 134. 106682pp. doi:10.1016/j.compchemeng.2019.106682
Samouilidou, Maria E.; Passalis, Nikolaos; Georgiadis, Georgios P.; Georgiadis, Michael C. (2025) Enhancing industrial scheduling through machine learning: A synergistic approach with predictive modeling and clustering. Computers & Chemical Engineering, 200. doi:10.1016/j.compchemeng.2025.109174
Rejowski, R., Pinto, J.M. (2004) Efficient MILP formulations and valid cuts for multiproduct pipeline scheduling. Computers & Chemical Engineering, 28. 1511-1528 doi:10.1016/j.compchemeng.2003.12.001
Zulkafli, Nur I., Hanak, Dawid P., Kopanos, Georgios M. (2020) Efficient decomposition strategy for scheduling of multistage production system and combined heat and power. Computers & Chemical Engineering, 133. 106634pp. doi:10.1016/j.compchemeng.2019.106634
Lima, Ricardo M., Novais, Augusto Q. (2016) Symmetry breaking in MILP formulations for Unit Commitment problems. Computers & Chemical Engineering, 85. 162-176 doi:10.1016/j.compchemeng.2015.11.004
 
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