Big Data Analytics in Operations Management
Journal
Production and Operations Management
Journal Volume
27
Journal Issue
10
Pages
1868-1883
Date Issued
2018
Author(s)
Abstract
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, weaknesses as well as major functionalities. We then discuss various big data analytics strategies to overcome the respective computational and data challenges. After that, we examine the literature and reveal how different types of big data methods (techniques, strategies, and architectures) can be applied to different OM topical areas, namely forecasting, inventory management, revenue management and marketing, transportation management, supply chain management, and risk analysis. We also investigate via case studies the real-world applications of big data analytics in top branded enterprises. Finally, we conclude the study with a discussion of future research. ? 2017 Production and Operations Management Society
Subjects
applications and case studies; Big data analytics; big data methods; data-driven optimization; operations management
Publisher
Wiley-Blackwell
Type
journal article