-
作者：Bernstein, Fernando; Kok, A. Gurhan; Xie, Lei
作者单位：Duke University; Koc University; Shanghai University of Finance & Economics
摘要：We consider a retailer with limited inventory of identically priced, substitutable products. The retailer faces a market with multiple segments of customers that are heterogeneous with respect to their product preferences. Customers arrive sequentially, and the firm decides which subset of products to offer to each arriving customer depending on the customer's preferences, the inventory levels, and the remaining time in the season. We show that it is optimal to limit the choice set of some cus...
-
作者：Khademi, Amin; Saure, Denis R.; Schaefer, Andrew J.; Braithwaite, Ronald S.; Roberts, Mark S.
作者单位：Clemson University; Universidad de Chile; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; New York University; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
摘要：The global fight against HIV/AIDS is hindered by a lack of drugs in the developing world. When patients in these countries initiate treatment, they typically remain on it until death; thus, policy makers and physicians follow nonabandonment policies. However, treated patients develop resistance to treatment, so in many cases untreated patients might benefit more from the drugs. In this paper we quantify the opportunity cost associated with restricting attention to nonabandonment policies. For ...
-
作者：Gans, Noah; Shen, Haipeng; Zhou, Yong-Pin; Korolev, Nikolay; McCord, Alan; Ristock, Herbert
作者单位：University of Pennsylvania; University of North Carolina; University of North Carolina Chapel Hill; University of Hong Kong; University of Washington; University of Washington Seattle
摘要：We develop and test an integrated forecasting and stochastic programming approach to workforce management in call centers. We first demonstrate that parametric forecasts, discretized using Gaussian quadrature, can be used to drive stochastic programs whose results are stable with relatively small numbers of scenarios. We then extend our approach to include forecast updates and two-stage stochastic programs with recourse and provide a general modeling framework for which recent, related models ...
