We consider an online personalized assortment optimization problem where customers arrive sequentially and make their choices (e.g., click an ad, purchase a product) following the multinomial logit (MNL) model with unknown parameters. Utilizing customer's personal information, the firm makes an...

A firm makes pricing and inventory replenishment decisions for a product over T periods to maximize its expected total profit. Demand is random and price sensitive, and unsatisfied demands are lost and unobservable (censored demand). The firm knows the demand process up to some parameters and...

We consider a periodic-review single-product inventory system with lost-sales and positive lead times under censored demand. In contrast to the classical inventory literature, we assume the firm does not know the demand distribution a priori, and makes adaptive inventory ordering decision in...

We consider the inventory control problem of a Multi-Warehouse Multi-Store (MWMS) system over a time horizon that the warehouses receive no external replenishment. This problem is prevalent in retail settings, and it is referred to in Jackson (1988) as “what to do until your (external)...

This paper proposes a macroscopic fluid modeling framework to assist with strategic decision making of a platform for operating a large-scale on-demand app-based ride-hailing system. The framework captures the spatiotemporal characteristics of a ride-hailing system, and is flexible in...

We consider a deterministic (fluid) multi-period assortment and inventory planning problem under the Multinomial Logit (MNL) choice model with dynamic (stockout-based) substitution, customer returns with a general return time distribution, and a cumulative capacity (storage) constraint for all...

This thesis presents an analysis of the benefits of cross-training between the claims division and calls division in a large health insurance call center by building a discrete-event simulation model of the call center. The simulation model was built in Rockwell Software's Arena v. 7.0 using a...

Because sequential auctions have permeated society more than ever, it is desirable for participants to have the optimal strategies beforehand. However, finding closed-form solutions to various sequential auction games is challenging. Current literature provides some answers for specific cases...

This dissertation studies the competitive behavior of firms in supply chain management and revenue management contexts. A game theoretic approach is employed. We analyze capacity allocation and pricing strategies and derive equilibrium solutions for multiple competing firms. We also study...

We consider a two-echelon supply chain with two retailers and one supplier. The retailers order from the supplier who makes all the decisions and bears all the inventory risk. Throughout this dissertation, we consider two different inventory systems: areserved inventory system and a pooled...