We are living in an era in which data is generated in huge volume with high velocity and variety. Big Data and technology are reshaping our life and business. Our research inevitably needs to catch up with these changes. In this short essay, we focus on two aspects of supply chain management,...

We study an average-cost stochastic inventory control problem in which the firm can replenish inventory and adjust price at anytime. We establish the optimality to change the price from low to high in each replenishment cycle as inventory is depleted. With costly price adjustment, scale...

We propose a novel central clearing counterparty (CCP) design for a financial network with multilateral clearing, where the participation rate of individual banks depends on the volume-based fee charged by the CCP. We introduce a general demand function for the individual banks' partici- pation...

Inventory-based pricing under lost sales is an important, yet notoriously challenging problem in the operations management literature. The vast existing literature on this problem focuses on identifying optimality conditions for a simple management policy, while restricting to special classes of...

The central issue in supply chain management is to match supply with demand, and the heart of a planning model is the modeling of supply and demand functions. To allow for analytical tractability, the existing literature often assumes almost surely linear supply and demand functions, which...

Subsidy programs are widely offered in both developing and developed countries to encourage consumption of products that generate positive social, health and environmental externalities. We study the effect of subsidies on product consumption under uncertain market demand. To reach a target...

Involving suppliers deep in the supply chain is critical for the success of environmental and social responsibility (ESR) initiatives. Administering ESR programs throughout a complex supply network, however, is challenging. In this paper, we apply a multi-unit bilateral bargaining framework to...

Firms in advanced economies are increasingly outsourcing software and technology development as well as other knowledge work to a worldwide supply base. Standard economic and learning models predict that focal firms should outsource either all or none of a particular activity unless extra...

This paper introduces the general philosophy of the Operational Data Analytics (ODA) framework for data-based decision modeling. The fundamental development of this framework lies in establishing the direct mapping from data to decision by identifying the appropriate class of operational...

We study the data-integrated price-setting newsvendor problem in which the price-demand relationship is described by some parametric model with unknown parameters. We formulate the operational data analytics (ODA) framework that features a data-integration model and a validation model. The...