Big Data Analytics in Operations Management

• 成果类型: Article
• 署名作者: Choi, Tsan-Ming; Wallace, Stein W.; Wang, Yulan
• 署名单位: Hong Kong Polytechnic University; Norwegian School of Economics (NHH); Hong Kong Polytechnic University
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.12838
• 发表日期: 2018
• 页码: 1868-1883
• 关键词: Supply chains; data science; cloud; resilience; revolution; systems; demand; DESIGN

摘要

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.