# Data Analytics in Operations Management: A Review

## TL;DR

This paper reviews recent applications of data analytics in operations management, focusing on supply chain, revenue management, and healthcare, highlighting future research directions.

## Contribution

It provides a comprehensive overview of how data analytics is transforming operations management across key sectors, emphasizing recent advances and future opportunities.

## Key findings

- Data analytics enhances decision-making in supply chains.
- Machine learning improves revenue management strategies.
- Analytics advances healthcare operations efficiency.

## Abstract

Research in operations management has traditionally focused on models for understanding, mostly at a strategic level, how firms should operate. Spurred by the growing availability of data and recent advances in machine learning and optimization methodologies, there has been an increasing application of data analytics to problems in operations management. In this paper, we review recent applications of data analytics to operations management, in three major areas -- supply chain management, revenue management and healthcare operations -- and highlight some exciting directions for the future.