Editorial to the special issue “Transdisciplinary analytics in supply chain management”

[1]  Wim J. C. Verhagen,et al.  Concurrent Engineering in the 21st Century , 2015 .

[2]  Fei Tao,et al.  Data and knowledge mining with big data towards smart production , 2017, J. Ind. Inf. Integr..

[3]  Paul R. Jackson,et al.  Shifting paradigm to service-dominant logic via Internet-of-Things with applications in the elevators industry , 2017 .

[4]  Zhuming Bi,et al.  Support vector machine and ROC curves for modeling of aircraft fuel consumption , 2015 .

[5]  M. Kataev,et al.  Enterprise Diagnostics for Evaluation of Enterprise Business Processes , 2016 .

[6]  Moisés Lima Dutra,et al.  Value Creation in Big Data Scenarios: A Literature Survey , 2017 .

[7]  Mininath R. Bendre,et al.  Analytics, challenges and applications in big data environment: a survey , 2016 .

[8]  Wim J. C. Verhagen,et al.  Concurrent Engineering in the 21st Century : Foundations, Developments and Challenges , 2015 .

[9]  Jad El-khoury,et al.  Making interoperability visible: Data visualization of cyber-physical systems development tool chains , 2016, J. Ind. Inf. Integr..

[10]  Josip Stjepandic,et al.  An approach for agile planning of disassembly and recycling of complex products , 2017 .

[11]  Yang Lu,et al.  Big data analytics and big data science: a survey , 2016 .

[12]  Josip Stjepandic,et al.  Knowledge-based design for assembly in agile manufacturing by using Data Mining methods , 2017, Adv. Eng. Informatics.

[13]  Matteo Petracca,et al.  Industrial Internet of Things monitoring solution for advanced predictive maintenance applications , 2017, J. Ind. Inf. Integr..