Zobrazeno 1 - 4
of 4
pro vyhledávání: '"M. Ozan Uysal"'
Autor:
Zeynep Hilal Kilimci, A. Okay Akyuz, Mitat Uysal, Selim Akyokus, M. Ozan Uysal, Berna Atak Bulbul, Mehmet Ali Ekmis
Publikováno v:
Complexity, Vol 2019 (2019)
Demand forecasting is one of the main issues of supply chains. It aimed to optimize stocks, reduce costs, and increase sales, profit, and customer loyalty. For this purpose, historical data can be analyzed to improve demand forecasting by using vario
Externí odkaz:
https://doaj.org/article/66afdde054714514af675076e791b16c
Publikováno v:
International Journal of Mathematical Models and Methods in Applied Sciences. 16:162-165
In this study, an LP model was developed in order to determine the optimal working status in a B2C type e-commerce site. Prices were determined dynamically with the Q-learning algorithm, and dynamic cost values were determined with the help of dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::415f7a39b3b1b6ce576654c0ff810d5d
https://doi.org/10.46300/9101.2022.16.26
https://doi.org/10.46300/9101.2022.16.26
Autor:
A. Okay Akyuz, Mitat Uysal, Mehmet Ali Ekmis, Berna Atak Bulbul, Selim Akyokus, Zeynep Hilal Kilimci, M. Ozan Uysal
Publikováno v:
Complexity, Vol 2019 (2019)
WOS: 000464724700001 Demand forecasting is one of the main issues of supply chains. It aimed to optimize stocks, reduce costs, and increase sales, profit, and customer loyalty. For this purpose, historical data can be analyzed to improve demand forec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e75649c07f8d633e44a91f555eb3fbfb
https://hdl.handle.net/20.500.12511/2235
https://hdl.handle.net/20.500.12511/2235
Publikováno v:
INISTA
Uysal, Mitat (Dogus Author) -- Uysal, M. Ozan (Dogus Author) -- Conference full title: International Conference on INnovations in Intelligent SysTems and Applications (INISTA); Gdynia, Poland; 3 July 2017 thorugh 5 July 2017 Demand forecasting for re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b17c490ecaebb0291d80ecb80b92d68
https://doi.org/10.1109/inista.2017.8001123
https://doi.org/10.1109/inista.2017.8001123