Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Georgia Perakis"'
Autor:
Amine Bennouna, Joshua Joseph, David Nze-Ndong, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Yannis Spantidakis, Leann Thayaparan, Asterios Tsiourvas
Publikováno v:
Manufacturing & Service Operations Management. 25:1013-1032
Problem definition: Mitigating the COVID-19 pandemic poses a series of unprecedented challenges, including predicting new cases and deaths, understanding true prevalence beyond what tests are able to detect, and allocating different vaccines across v
Publikováno v:
Management Science. 69:2016-2050
In-store promotions are a highly effective marketing tool that can have a significant impact on revenue. In this research, we study the question of dynamic promotion planning in the face of Bounded-Memory Peak-End demand models. In order to determine
Publikováno v:
Manufacturing & Service Operations Management. 25:409-426
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity
Publikováno v:
Management Science. 69:1398-1419
We introduce a new distributionally robust optimization model to address a two-period, multi-item joint pricing and production problem, which can be implemented in a data-driven setting using historical demand and side information pertinent to the pr
Publikováno v:
Production and Operations Management. 32:397-415
Publikováno v:
Production and Operations Management. 32:189-206
Autor:
Lennart Baardman, Rares Cristian, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Leann Thayaparan
Publikováno v:
Mathematical Programming. 200:1-35
Data-driven decision-making has garnered growing interest as a result of the increasing availability of data in recent years. With that growth many opportunities and challenges have sprung up in the areas of predictive and prescriptive analytics. Oft
Publikováno v:
Manufacturing & Service Operations Management. 24:2010-2028
Problem definition: We study personalized product recommendations on platforms when customers have unknown preferences. Importantly, customers may disengage when offered poor recommendations. Academic/practical relevance: Online platforms often perso
Publikováno v:
Manufacturing & Service Operations Management. 24:1939-1958
Problem definition: We study a monopolistic robust pricing problem in which the seller does not know the customers’ valuation distribution for a product but knows its mean and variance. Academic/practical relevance: This minimal requirement for inf
Autor:
Georgia Perakis, Charles Thraves
Publikováno v:
Manufacturing & Service Operations Management. 24:1369-1387
Problem definition: We present a data-driven pricing problem motivated from our collaboration with a satellite service provider. In particular, we study a variant of the two-part tariff pricing scheme. The firm offers a set of data plans consisting o