We investigate the data-driven newsvendor problem when one has n observations of p
features related to the demand as well as historical demand data. Rather than a two-step …

We develop the first approximation algorithms with worst-case performance guarantees for
periodic-review perishable inventory systems with general product lifetime, for both …

The value of information sharing and how it could address the bullwhip effect have been the
subject of studies in the literature. Most of these studies used different forms of demand …

We propose a robust optimization approach to address a multiperiod inventory control
problem under ambiguous demands, that is, only limited information of the demand …

Problem definition: We study the practice-motivated problem of dynamically procuring a
new, short-life-cycle product under demand uncertainty. The firm does not know the demand …

Motivated by service capacity-management problems in healthcare contexts, we consider a
multiresource allocation problem with two classes of jobs (elective and emergency) in a …

We consider two classical stochastic inventory control models, the periodic-review stochastic
inventory control problem and the stochastic lot-sizing problem. The goal is to coordinate a …

Fast fashion is a timely, influential and well observed business strategy in the fashion retail
industry. An effective fast fashion supply chain relies on quick and competent forecasts of …

We consider a newsvendor who dynamically updates her forecast of the market demand
over a finite planning horizon. The forecast evolves according to the martingale model of …

Semiconductor industry has continuously migrated for advanced technology nodes with
capital intensive capacities to fulfil the demands and maintain competitive advantages …