Editorial on “Smarter supply chain and big data applications”
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Hing Kai Chan | Fujun Lai | F. Lai | H. Chan
[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..