dc.contributor.author | Oztop, H. | |
dc.contributor.author | Tasgetiren, M.F. | |
dc.contributor.author | Tursel Eliiyi, D. | |
dc.contributor.author | Pan, Q.K. | |
dc.date.accessioned | 2021-01-25T19:33:07Z | |
dc.date.available | 2021-01-25T19:33:07Z | |
dc.date.issued | 2018 | |
dc.identifier | 10.1007/978-3-319-95957-3_79 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7568 | |
dc.description.abstract | Permutation flow shop scheduling problem (PFSP) is a well-known problem in the scheduling literature. Even though many multi-objective PFSPs are presented in the literature with the objectives related to production efficiency and customer satisfaction, st | |
dc.language.iso | English | |
dc.publisher | SPRINGER INTERNATIONAL PUBLISHING AG | |
dc.title | Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time | |
dc.type | Proceedings Paper | |
dc.relation.firstpage | 753 | |
dc.relation.lastpage | 759 | |
dc.relation.volume | 10956 | |
dc.description.woscategory | Computer Science, Artificial Intelligence; Computer Science, Theory & Methods | |
dc.description.wosresearcharea | Computer Science | |
dc.identifier.wosid | WOS:000470002200079 | |
dc.identifier.ctitle | 14th International Conference on Intelligent Computing (ICIC) | |
dc.identifier.cdate | AUG 15-18, 2018 | |