lingqidai2
Business Statistics
Seminar: A Dynamic Clustering Approach to Data-Driven Assortment Personalization
We consider a retailer facing heterogeneous customers with initially unknown product preferences. Customers are characterized by a diverse set of demographic and transactional attributes. The retailer can personalize the assortment offerings based on the available customers’ profile information to
Seminar: Clinical Ambiguity and Conflicts of Interest in Interventional Cardiology Decision-Making
Cardiovascular disease is among the leading causes of death worldwide and coronary artery disease (CAD) is the major underlying culprit. Percutaneous coronary intervention (PCI) has proven to be beneficial to patients with acute coronary syndrome, yet its benefit to stable CAD patients is more
Seminar: Supply Chain Network Data - A New Frontier in Supply Chain Management Research
Supply chain networks connect products and services with customers, production with consumption, supply with demand. Supply chain networks channel physical, information and financial flows among many self-interested independent decision makers. The complexity and opacity of the supply chain network
Seminar: Allocation of Intensive Care Unit Beds in Periods of High Demand
We consider a stylized, discrete-time model for an Intensive Care Unit (ICU) in which patients’ health conditions change over time with Markovian probabilities. At any point in time, each patient is in one of two possible health stages, one representing a more serious and the other representing a
Seminar: Effects of Rescheduling on Patient No-show Behavior in Outpatient Clinics
We study the effects of waiting time and rescheduling on no-show behavior in an outpatient appointment system for both new and follow-up patients. Previous literature has primarily focused on new patients and investigated the role of waiting time on no-show probability. We offer a more nuanced
Seminar: Optimal Capacity Under Stock-Out Probability Constraints: The Value of Responsive Allocation
In many service systems, different customers may require different service levels defined by the maximum stock-out probability constraints. A key challenge in such systems is to find out the minimal capacity needed and how to allocate this limited capacity to customers in order to meet each