Big data analytics is critical in modern operations management (OM). In this study, we first
explore the existing big data‐related analytics techniques, and identify their strengths …

In the rapidly evolving landscape of manufacturing, the ability to make accurate predictions
is crucial for optimizing processes. This study introduces a novel framework that combines …

Price discrimination strategies, which offer different prices to customers based on differences
in their valuations, have become common practice. Although it allows sellers to increase …

We consider a logit model-based framework for modeling joint pricing and assortment
decisions that take into account customer features. This model provides a significant …

Problem definition: The growing trend in online shop** has sparked the development of
increasingly more sophisticated product recommendation systems. We construct a model …

Online retail pharmacies usually price their products differently from traditional drugstores.
Based on real-time consumer behaviors, this paper proposes a dynamic bundle pricing …

Airline revenue management (RM) concentrates on the optimization of the booking process
to accept a reservation with three key decision-making pillar: the right conditions, the right …

This paper studies bundling in a two-level supply chain consisting of a manufacturer and a
retailer. Past literature offers deep insights into product bundling but overlooks the …

This paper examines how data-driven personalized decisions can be made while
preserving consumer privacy. Our setting is one in which the firm chooses a personalized …

Problem definition: Airports and airlines have been challenged to improve decision making
by producing accurate forecasts in real time. We develop a two-phased predictive system …