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SETSCI - Volume 1 (2017)
ISMSIT2017 - International Symposium on Multidisciplinary Studies and Innovative Technologies, Tokat, Turkey, Dec 02, 2017

The Process of Industrial Change and Social Transformation
Ercan Öztemel1*
1Department of Industrial Engineering, Faculty of Engineering, Marmara University, İstanbul, Turkey
* Corresponding author:
Published Date: 2017-12-08   |   Page (s): 10-13   |    362     4

ABSTRACT The paper aims is to highlight the unavoidable changes in industrial society together with the basic elements of this transformation as well as to take the attention of the readers on the healthiest change process. Some actions which are considered to be very essential in coping with the changes and getting the especially manufacturing society to be aligned with those.
KEYWORDS Industry 4.0, Change Management, Change Process, Social Transformation
REFERENCES 1. Technical Report, 2011, Change Management process,, available on 06.11.2017

2. Technical Report, 2017, Change management process,, available on 06.11.2017

3. M.B. Ayhan and E. Oztemel, 2013, Change Management in Manufacturing Systems, Lambert Academic Publishing, ISBN: 978-3-659-39970-1

4. Qin J., Liu Y., Grosvenora R., 2016, A Categorical Framework of Manufacturing for Industry 4.0 and Beyond, Virtual Production, Vol 52, 2016, pp. 173-178

5. Bunse B., 2016, Industry: Based on “German Industry 4.0” report, Journal of Applied Business and Economics, Vol. 18, pp. 40-50

6. Drath H. and Horch A. (2014), Industry 4.0: Hit or Hype? Industry Forum. IEEE Industrial Electronics Magazine, Vol 8, No. 2, pp. 56–58.

7. Liao Y., Deschamps F., Loures E., Ramos L., 2017, Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal, International Journal of Production Research, Vol. 55, No 12, pp. 3609–3629

8. Manufacturing - It' the Jobs, Stupid, MIT Technology Review dergisi, January 2017

9. Ercan Oztemel, 2010, “Intelligent Manufacturing Systems”, Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management, (ed.
Benyoucef, Lyes; Grabot, Bernard ), Springer Verlag, ISBN: 978-1-84996-118-9,

10. Deep shift:Technology tipping points and sociatal impacts, Survey reports, World Economic Forum, 2015,

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