Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Russell Ainslie"'
Publikováno v:
Artificial Intelligence XXXIX ISBN: 9783031214400
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5aabea1a1e02e2f12378b8ab6f165293
https://doi.org/10.1007/978-3-031-21441-7_16
https://doi.org/10.1007/978-3-031-21441-7_16
In this paper, we consider a distributionally robust resource planning model inspired by a real-world service industry problem. In this problem, there is a mixture of known demand and uncertain future demand. Prior to having full knowledge of the dem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6fb54e35a873fa605b8003b33575b30
http://arxiv.org/abs/2108.03949
http://arxiv.org/abs/2108.03949
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030910990
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26bfbce007d5684d3832e906cc56a56a
https://doi.org/10.1007/978-3-030-91100-3_19
https://doi.org/10.1007/978-3-030-91100-3_19
Autor:
Himadri Sikhar Khargharia, Russell Ainslie, Siddhartha Shakya, Roberto Santana, Gilbert Owusu
Publikováno v:
SSCI
Accurate forecasting of customer demand can be critical for increasing operational efficiency and augmenting customer satisfaction, particularly in scenarios that involve multiple service units. In this paper, we focus on the problem of predicting th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4fb8c7e5cf54bcf1cc432e7914dbfa6
https://doi.org/10.1109/ssci47803.2020.9308368
https://doi.org/10.1109/ssci47803.2020.9308368
Publikováno v:
Proceedings of SW20 The OR Society Simulation Workshop.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86c8fcdd6f0ca7a31835fcef278c29df
https://doi.org/10.36819/sw20.025
https://doi.org/10.36819/sw20.025
Autor:
Yee, Leslie, Korner, Anthony James *, McSwiggan, Sally, Meares, Russell Ainslie, Stevenson, Janine
Publikováno v:
In Comprehensive Psychiatry 2005 46(2):147-154
Publikováno v:
CogSIMA
The current world of AI revolves around forecasting and prediction, eating up a major chunk of problem statements generated by organizations in various domains. Applying forecasting techniques to get an advance view of the number of visitors per bay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8989faf72e610aced321dcffa14fb26b
https://doi.org/10.1109/cogsima.2019.8724239
https://doi.org/10.1109/cogsima.2019.8724239
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030348847
SGAI Conf.
SGAI Conf.
In the service industry, having an efficient resource plan is of utmost importance for operational efficiency. An accurate forecast of demand is crucial in obtaining a resource plan which is efficient. In this paper, we present a real world applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f30c43d9aa60a8c3de8bc65ab90b57cb
https://doi.org/10.1007/978-3-030-34885-4_14
https://doi.org/10.1007/978-3-030-34885-4_14
Publikováno v:
CEC
The service chain planning process is a critical component in the operations of companies in the service industry, such as logistics, telecoms or utilities. This process involves looking ahead over various timescales to ensure that available capacity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46e454511120acb7db67174caf9bee11
https://doi.org/10.1109/cec.2018.8477701
https://doi.org/10.1109/cec.2018.8477701
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030041908
SGAI Conf.
SGAI Conf.
Prediction is about making claims on future events based on past information and the current state. Predicting workforce demand for the future can help service organizations adjust their resources and reach their goals of cost saving and enhanced eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d489b1b466a6c1be4a6c6ef108ea5ed
https://doi.org/10.1007/978-3-030-04191-5_24
https://doi.org/10.1007/978-3-030-04191-5_24