Developing operations management data analytics

• 成果类型: Article
• 署名作者: Feng, Qi; Shanthikumar, J. George
• 署名单位: Purdue University System; Purdue University
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.13868
• 发表日期: 2022
• 页码: 4544-4557
• 关键词: data analytics; data integration; learning-then-earning; learning-or-earning

摘要

In this article, we describe representative contributions in several major application areas of data analytics in operations management to summarize the recent development, discuss the common themes, identify the current trends, and speculate the future directions. Certainly, many important contributions have been made in various application areas that are either directly or indirectly related to data analytics, and there are important theoretical developments made by scholars in our field. It is not our intention to provide a complete survey for data-analytics work in our field. Instead, we focus only on the aspect of data integration in operational decision-making by describing the most popular applications of data analytics.