Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives

By Ray Y. Zhong, Stephen T. Newman, George Q. Huang, Shulin Lan. Computers & industrial engineering, 2016

532 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/64c04b05eccee20f864c46b768a59430822567ad

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

1. Sven Winkelhaus
2. John Paul Kawalek
3. Eric H. Grosse
4. Niraj Kumar
5. Deepak Arunachalam

In Management Information Systems

1. Robert Pellerin
2. Hui-Ming Wee
3. Samir Lamouri
4. Sven Winkelhaus
5. John Paul Kawalek
6. Yosef Daryanto
7. Eric H. Grosse
8. Yang Liu

In Management Science and Operations Research

1. Hui-Ming Wee
2. Sven Winkelhaus
3. Yosef Daryanto
4. Eric H. Grosse
5. Sunil Tiwari

Citations in the corpus

• A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions (2019, background): “Applications of BDA have attracted attention from industry and academy due to the capability to provide valuable patterns and knowledge to increase BI, explore potential markets and improve operational efficiency (Lamba and Singh, 2017; Zhong et al., 2016).”
• Big data analytics in supply chain management between 2010 and 2016: Insights to industries (2018, background): “Zhong et al. (2016b) provided the discussion on the current big data technologies including storage, data processing, and data visualization technology.”
• Logistics 4.0: a systematic review towards a new logistics system (2019, methodology): “Focusing on BD in SCM, Zhong et al. (2016b) conducted a review focusing on challenges and opportunities, whereas Addo-Tenkorang and Helo (2016) aimed at the development of a framework for BD and IoT applications in operations and SCM according to BD characteristics.”
• Impacts of Industry 4.0 technologies on Lean principles (2019, background): “Tao et al. (2017) and Zhong et al. (2015, 2016) suggest using cloud computing to make information related to the production system available.”