Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Lavanya Marla"'
Publikováno v:
Operations Research Perspectives, Vol 7, Iss , Pp 100150- (2020)
Optimization under uncertainty has been a well-studied field, with significant interest generated in this field in the past four decades. This paper is both practical and expository -- its purpose is to: discuss the process of generating robust solut
Externí odkaz:
https://doaj.org/article/b4c17f43d0374aa7bc1c889ac1d2c10d
Autor:
Xiyitao Zhu, Peng Zhang, Hyojung Kang, Lavanya Marla, Marlene Isabel Robles Granda, Rebecca A. Ebert-Allen, Sarah Stewart de Ramirez, Tenille Oderwald, Mackenzie McGee, Jonathan A. Handler
Publikováno v:
JCO Clinical Cancer Informatics.
PURPOSE Cancer patient navigators (CPNs) can decrease the time from diagnosis to treatment, but workloads vary widely, which may lead to burnout and less optimal navigation. Current practice for patient distribution among CPNs at our institution appr
Publikováno v:
INFORMS Journal on Applied Analytics. 52:233-249
Ancillaries are a rapidly growing source of revenue for airlines, yet their prices are currently statically determined using rules of thumb and are matched only to the average customer or to customer groups. Offering ancillaries at dynamic and person
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:398-405
We present an efficient approach to ambulance fleet allocation and dynamic redeployment, where the goal is to position an entire fleet of ambulances to base locations to maximize the service level (or utility) of the Emergency Medical Services (EMS)
Autor:
Hamsa Balakrishnan, Darsh Jalan, Max Z. Li, Karthik Gopalakrishnan, Aritro Nandi, Lavanya Marla, Sang Hyun Shin
Publikováno v:
CEAS Aeronautical Journal. 13:347-357
Flight delays occur in the air transportation system when disruptive events such as weather, equipment outage, or congestion create an imbalance between system capacity and demand. These cycles of disruptions and subsequent recoveries can be viewed f
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:11536-11544
When deploying machine learning models in the real-world, system designers may wish that models exhibit certain shape behavior, i.e., model outputs follow a particular shape with respect to input features. Trends such as monotonicity, convexity, dimi
Publikováno v:
Operations Research Forum. 3
Autor:
Max Z. Li, Karthik Gopalakrishnan, Xiyitao Zhu, Aritro Nandi, Hamsa Balakrishnan, Lavanya Marla
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Transportation Science. 54:973-997
Air traffic disruptions result in flight delays, cancellations, passenger misconnections, and ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive and proactive approach to airline disruption management, which optimi
Publikováno v:
Computers & Industrial Engineering. 171:108383
We present a novel modeling and algorithmic approach, a Maximum Entropy Principle (MEP) heuristic for Routing and Scheduling, for a large class of problems including the Traveling Salesman Problem (TSP), multiple Traveling Salesmen Problem (mTSP), th