Editorial on “Smarter supply chain and big data applications”

[1]  Bo Feng,et al.  Smarter supply chain: a literature review and practices , 2020, Journal of Data, Information and Management.

[2]  Hing Kai Chan,et al.  A comparison of forecasting methods for medical device demand using trend-based clustering scheme , 2020, Journal of Data, Information and Management.

[3]  Burcu B. Keskin,et al.  AI in operations management: applications, challenges and opportunities , 2020, Journal of Data, Information and Management.

[4]  Hefu Liu,et al.  The role of big data analytics in enabling green supply chain management: a literature review , 2020, Journal of Data, Information and Management.

[5]  Hing Kai Chan,et al.  Decision-making in cold chain logistics using data analytics: a literature review , 2018, The International Journal of Logistics Management.

[6]  Hing Kai Chan,et al.  Recent Development in Big Data Analytics for Business Operations and Risk Management , 2017, IEEE Transactions on Cybernetics.

[7]  Hing Kai Chan,et al.  Guest Editorial Big Data Analytics: Risk and Operations Management for Industrial Applications , 2016, IEEE Trans. Ind. Informatics.

[8]  Hing Kai Chan,et al.  A Mixed‐Method Approach to Extracting the Value of Social Media Data , 2016 .

[9]  Shuzhu Zhang,et al.  Swarm intelligence applied in green logistics: A literature review , 2015, Eng. Appl. Artif. Intell..

[10]  Hing Kai Chan,et al.  A Two-Level Genetic Algorithm to Determine Production Frequencies for Economic Lot Scheduling Problem , 2012, IEEE Transactions on Industrial Electronics.

[11]  Xiaojun Wang,et al.  The impact of security and scalability of cloud service on supply chain performance , 2011 .

[12]  Hing Kai Chan,et al.  Real time fuzzy scheduling rules in FMS , 2003, J. Intell. Manuf..