An S-graph based approach for multi-mode resource-constrained project scheduling with time-varying resource capacities

O. Ooz; M. Hegyhati

An S-graph based approach for multi-mode resource-constrained project scheduling with time-varying resource capacities

Széchenyi István University

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › peer-review

Originalsprache	undefiniert/unbekannt
Titel	23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018
Publikationsstatus	Veröffentlicht - 2018
Extern publiziert	Ja

Andere Dateien und Links

https://www.scopus.com/pages/publications/85085042685

Dieses zitieren

@inproceedings{ede732b6b4c64fc5addff7a0234e42d0,

title = "An S-graph based approach for multi-mode resource-constrained project scheduling with time-varying resource capacities",

author = "O. Ooz and M. Hegyhati",

year = "2018",

language = "Undefined/Unknown",

booktitle = "23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018",

}

An S-graph based approach for multi-mode resource-constrained project scheduling with time-varying resource capacities. / Ooz, O.; Hegyhati, M.
23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018. 2018.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › peer-review

TY - GEN

T1 - An S-graph based approach for multi-mode resource-constrained project scheduling with time-varying resource capacities

AU - Ooz, O.

AU - Hegyhati, M.

PY - 2018

Y1 - 2018

UR - https://www.scopus.com/pages/publications/85085042685

M3 - Conference contribution

BT - 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018

ER -