Smart Data Analytics in SME Manufacturing – an Axiomatic Design based Conceptual Framework

[1]  Jerzy Korczak,et al.  Intelligent Dashboard for SME Managers. Architecture and functions , 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).

[2]  Jerzy Korczak,et al.  Multi-criteria evaluation of the intelligent dashboard for SME managers based on scorecard framework , 2014, 2014 Federated Conference on Computer Science and Information Systems.

[3]  Renato Vidoni,et al.  Enabling Connectivity of Cyber-physical Production Systems: A Conceptual Framework , 2017 .

[4]  Norbert Gronau,et al.  Digitalisierung der Produktion in KMU , 2018, KMU 4.0 - Digitale Transformation in kleinen und mittelstän-dischen Unternehmen.

[5]  Maurizio Pighin,et al.  Data value in decision process: Survey on decision support system in small and medium enterprises , 2012, 2012 Proceedings of the 35th International Convention MIPRO.

[6]  Ralf-Christian Härting,et al.  A Data Analytics Framework for Business in Small and Medium-Sized Organizations , 2017, KES-IDT.

[7]  Maria Madalena Teixeira de Araújo,et al.  Towards Industry 4.0: an overview of European strategic roadmaps , 2017 .

[8]  Alexander Verl,et al.  Making existing production systems Industry 4.0-ready , 2015, Prod. Eng..

[9]  Martin Wollschlaeger,et al.  Vertical data integration in automation based on IEC 61499 , 2012, 2012 9th IEEE International Workshop on Factory Communication Systems.

[10]  Jawahar J. Rao,et al.  Technology Adoption in the SME Sector for Promoting Agile Manufacturing Practices , 2018, Smart Intelligent Computing and Applications.

[11]  Marilex Rea Llave.  Business Intelligence and Analytics in Small and Medium-sized Enterprises: A Systematic Literature Review , 2017, CENTERIS/ProjMAN/HCist.

[12]  Dazhong Wu,et al.  Deep learning for smart manufacturing: Methods and applications , 2018, Journal of Manufacturing Systems.

[13]  Chun-Wei Yang,et al.  Applications of artificial intelligence in intelligent manufacturing: a review , 2017, Frontiers of Information Technology & Electronic Engineering.

[14]  Christoph G. Schütz,et al.  Reference Modeling for Data Analysis: The BIRD Approach , 2016, Int. J. Cooperative Inf. Syst..

[15]  Christopher A. Brown.  Teaching axiomatic design to engineers—Theory, applications, and software , 2005 .

[16]  Christoph G. Schütz,et al.  Customization of Domain-Specific Reference Models for Data Warehouses , 2014, 2014 IEEE 18th International Enterprise Distributed Object Computing Conference.

[17]  K.V.S.N Babu.  Business Intelligence: Concepts, Components, Techniques and Benefits , 2012 .

[18]  Ulrich Brück,et al.  Use Case Industrie 4.0-Fertigung im Siemens Elektronikwerk Amberg , 2014 .

[19]  Ying Liu,et al.  Big Data Driven Customer Insights for SMEs in Redistributed Manufacturing , 2017 .

[20]  Wei Zhang,et al.  Digital transformation by SME entrepreneurs: A capability perspective , 2018, Inf. Syst. J..

[21]  L. Li.  China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0” , 2017, Technological Forecasting and Social Change.

[22]  Helmut Kraemer-Eis,et al.  SME Securitization in Europe , 2015, The Journal of Structured Finance.

[23]  Ju Yeon Lee,et al.  A big data analytics platform for smart factories in small and medium-sized manufacturing enterprises: An empirical case study of a die casting factory , 2017 .

[24]  Hyunbo Cho,et al.  Conceptual Development Process of Mass-customizable Data Analytics Services for Manufacturing SMEs , 2017, APMS.