Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sarah Yini Gao"'
Publikováno v:
European Journal of Operational Research. 308:709-721
Publikováno v:
INFORMS Journal on Applied Analytics. 52:524-538
This study examines the impact of coronavirus disease 2019 (COVID-19) test accuracy (i.e., sensitivity and specificity) on the progression of the pandemic under two scenarios of limited and unlimited test capacity. We extend the classic susceptible
Publikováno v:
SSRN Electronic Journal.
In many countries, the COVID-19 vaccination program faces great challenges, from the management of limited and irregular supply of vaccines, uncertain vaccine take-up rate from the population, and appropriate appointment booking management to reduce
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Problem definition: In the blood donor management problem, the blood bank incentivizes donors to donate, given blood inventory levels. We propose a model to optimize such incentivization schemes under the context of altruistic incentives, blood peris
Publikováno v:
Marketing Science. 36:272-289
We develop a game-theoretic model to examine the entry of copycats and its implications by incorporating two salient features; these features are two product attributes, i.e., physical resemblance and product quality, and two consumer utilities, i.e.
Publikováno v:
Optimization Letters. 12:1237-1247
We consider distributionally robust two-stage stochastic linear optimization problems with higher-order (say $$p\ge 3$$ and even possibly irrational) moment constraints in their ambiguity sets. We suggest to solve the dual form of the problem by a se
Publikováno v:
Decision Sciences. 48:594-624
This article examines the implications of the potential entry of a copycat who produces and sells a copycat (i.e., imitation) product that competes with the incumbent product. By analyzing a two-period dynamic noncooperative game between these two fi
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Optimization. 63:829-837
We consider the two-stage stochastic linear programming model, in which the recourse function is a worst case expected value over a set of probabilistic distributions. These distributions share the same first- and second-order moments. By using duali