Operations & Supply Chain Management

Technology is often embodied in expensive and indivisible capital goods. As a result, the small scale of firms in developing countries could hinder investment and productivity. This paper argues that market interactions between small firms can alleviate this concern. We design and implement a survey of manufacturing firms in Uganda, which uncovers an active rental market for large machines among small firms. We then build an equilibrium model of firm behavior and estimate it with our data.

Matt Frisch, VP of Corporate Development for Canadian pharmaceutical wholesaler Kohl & Frisch, had successfully led the charge to buy out US-based rival AmerisourceBergen Canada (ABC). ABC's aggressive price cuts had disrupted the industry -- before squeezing its own revenues to the point where leaders at its Pennsylvania headquarters decided to divest the Canadian unit rather than subsidize an unprofitable operation.

Objectives:

To examine whether and how step-down unit admission after ICU discharge affects patient outcomes.

Design:

Retrospective study using an instrumental variable approach to remove potential biases from unobserved differences in illness severity for patients admitted to the step-down unit after ICU discharge.

Setting:

Ten hospitals in an integrated healthcare delivery system in Northern California.

Patients:

In a multi-armed bandit (MAB) problem a gambler needs to choose at each round of play one of K arms, each characterized by an unknown reward distribution. Reward realizations are only observed when an arm is selected, and the gambler's objective is to maximize cumulative expected earnings over some planning horizon of length T. To do this, the gambler needs to acquire information about arms (exploration) while simultaneously optimizing immediate rewards (exploitation). The gambler's policy is measured relative to a (static) oracle that knows the identity of the best arm a priori.

We consider a fundamental pricing model in which a fixed number of units of a reusable resource are used to serve customers. Customers arrive to the system according to a stochastic process and upon arrival decide whether or not to purchase the service, depending on their willingness-to-pay and the current price. The service time during which the resource is used by the customer is stochastic and the firm may incur a service cost. This model represents various markets for reusable resources such as cloud computing, shared vehicles, rotable parts, and hotel rooms.

Admission control and service rate speedup may be used during periods of congestion to minimize customer waiting in different service settings. In a healthcare setting, this can mean sending patients to alternative care facilities that may take more time and/or provide less ideal treatment. While waiting can be detrimental to patient outcomes, strategies used to control congestion can also be costly. In this work, we examine a multi-server queueing system that considers both admission control and speedup.

Maintenance service plans (MSPs) are contracts for the provision of maintenance by a service provider to an equipment operator. These plans can have different payment structures and risk allocations, which induce various types of incentives for agents in the service chain. How do such structures affect service performance and service chain value? We provide an empirical answer to this question by using a unique panel data covering the sales and service records of more than 700 diagnostic body scanners.

We study the dynamic mechanism design problem of a seller that repeatedly auctions independent items over a discrete time horizon to buyers that face a cumulative budget constraint. A driving motivation behind our model is the emergence of real-time bidding markets for online display advertising in which such budgets are prevalent. We assume the seller has a strong form of limited commitment: she commits to the rules of the current auction but cannot commit to those of future auctions.