Industry 4.0

Industry 4.0 can be considered the 21st century's industrial revolution and will soon be the new form of manufacturing delight. The definitive customer would experience manufacturing requests determined by artificial intelligence, machine learning, and automated technologies linked with data science support for gauging customer necessities. Phenomenally, Industry 4.0 is rapidly changing the firm's management and organizational systems, and competencies, as well as making its environment much more explored, even if more complexed than in the past. This new industrial revolution would possess systems with transformative technologies for managing interconnected systems between its physical assets and computational capabilities. Such enterprises would require skilled workforce to improve and operate advanced manufacturing tools and systems, and investigate the machine data, clients, and global capitals, resulting in an escalating need for trained employees proficient in cross-functional capacities and with competencies to cope new processes and IT systems.

[1]  Krishnan Umachandran,et al.  Affordances of Data Science in Agriculture, Manufacturing, and Education , 2017 .

[2]  M. Blanchet,et al.  Industrie 4.0: the new industrial revolution. How Europe will succeed , 2014 .

[3]  Valentina Della Corte,et al.  Innovation in tradition-based firms: dynamic knowledge for international competitiveness , 2013 .

[4]  Nilanjan Dey,et al.  A MapReduce approach to diminish imbalance parameters for big deoxyribonucleic acid dataset , 2016, Comput. Methods Programs Biomed..

[5]  Valentina Della Corte,et al.  Can Coopetition Be Source of Competitive Advantage for Strategic Networks , 2012 .

[6]  Ying Liu,et al.  A categorical framework of manufacturing for industry 4.0 and beyond , 2016 .

[7]  Chintan Bhatt,et al.  Internet of Things Driven Connected Healthcare , 2017 .

[8]  Vishal Bhatnagar,et al.  Concoction of Ambient Intelligence and Big Data for Better Patient Ministration Services , 2017, Int. J. Ambient Comput. Intell..

[9]  Elisabeth Viles,et al.  Closing the Gap Between Practice and Research in Industrial Engineering , 2017 .

[10]  Nilanjan Dey,et al.  Internet of Things and Big Data Technologies for Next Generation Healthcare , 2017 .

[11]  Karl Brenke.  Engineers in Germany: No Shortage in Sight , 2012 .

[12]  Tim Baines,et al.  The servitization of manufacturing: A review of literature and reflection on future challenges , 2009 .

[13]  Daqiang Zhang,et al.  Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination , 2016, Comput. Networks.

[14]  Nilanjan Dey,et al.  Advanced Automated Module for Smart and Secure City , 2016 .

[15]  Nilanjan Dey,et al.  Large Scale Medical Data Mining for Accurate Diagnosis: A Blueprint , 2017, Handbook of Large-Scale Distributed Computing in Smart Healthcare.

[16]  Aya Hamdy Ali,et al.  Recognizing Driving Behavior and Road Anomaly using Smartphone Sensors , 2017, Int. J. Ambient Comput. Intell..

[17]  WanJiafu,et al.  Towards smart factory for industry 4.0 , 2016 .

[18]  Malte Brettel,et al.  How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective , 2014 .

[19]  Giovani J.C. da Silveira,et al.  The mass customization decade: An updated review of the literature , 2012 .

[20]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[21]  Jay Lee,et al.  Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment , 2014 .

[22]  Kirby Calvert,et al.  Energy, space, and society: a reassessment of the changing landscape of energy production, distribution, and use , 2010 .

[23]  Yun Yang,et al.  Design of Intelligent Transportation System Supported by New Generation Wireless Communication Technology , 2018, Int. J. Ambient Comput. Intell..

[24]  Karim Bouamrane,et al.  Towards a New Model of Storage and Access to Data in Big Data and Cloud Computing , 2017, Int. J. Ambient Comput. Intell..

[25]  Chai Xu-dong,et al.  Cloud manufacturing:a new service-oriented networked manufacturing model , 2010 .

[26]  Wei Zhang,et al.  Building Intelligent Transportation Cloud Data Center Based on SOA , 2017, Int. J. Ambient Comput. Intell..

[27]  Arun Kumar Sangaiah,et al.  Configuring a Trusted Cloud Service Model for Smart City Exploration Using Hybrid Intelligence , 2017, Int. J. Ambient Comput. Intell..