With the development of shared mobility (e.g., ride-sourcing systems such as Uber and Lyft), there has been a growing interest in pricing and empty vehicle relocation to maximize system performance (e.g., revenue, throughput, social welfare). Impatience of passengers during waiting is an...

In this paper we study a multi-period stochastic inventory system with backlogs. Demand in each period is random and price sensitive, but the firm has little or no prior knowledge about demand distribution and how each customer responds to the selling price, so the firm needs to make periodic...

We study supply function competition among conventional power generators with different levels of flexibility. Inflexible generators commit production before uncertainties are realized, while flexible generators can adjust their production after uncertainties are realized. Both types of...

We develop the first nonparametric learning algorithm for periodic-review perishable inventory systems. In contrast to the classical perishable inventory literature, we assume that the firm does not know the demand distribution a priori and makes replenishment decision in each period based only...

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...

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)...

Based on cluster analysis, a novel method is introduced in this paper to generate multistage scenarios. A linear programming model is proposed to exclude the arbitrage opportunity by appending a scenario to the generated scenario set. By means of a cited stochastic linear goal programming...

We consider a single-period distribution system with one supplier and two retailers. The supplier may have infinite or finite capacity. The demand at each retailer is random. When a stockout occurs at one retailer the customer may go to the other retailer. We study both the decentralized and...

We introduce the concept of conditional value-at-risk as the evaluation criterion in a supply contract model. We first derive the manufacturer's optimal decisions and then analyze the impact of risk aversion on the manufacturer's decisions. We follow by conducting numerical experiments to...