Smart Manufacturing, Innovative Product and Service Design to Empower Industry 4.0

  in Special Issue   Posted on April 20, 2017

Information for the Special Issue

Special Issue Call for Papers:

Smart Manufacturing,Innovative Productand Service Design to Empower Industry 4.0

Aims of the Special Issue:

With the new paradigm of Industry 4.0, the manufacturing and service industries are increasingly adopting smart equipment and intelligent system with multimode sensors and more attention has been drawn to develop Cyber-Physical Systems, the Internet of Things (IoTs), and big data analytics for improving the operational performance. In particular, various solutions and techniques have been developed to extract useful information and derive effective manufacturing intelligence with advanced decision technologies to address new challenges of recent progress in smart manufacturing and operational excellence. Thus, this special issue of the Computers& Industrial Engineering (C&IE)aims to address emergent research issues regarding how to adopt new technologies for smart production, digital manufacturing, and innovative design and service to empower Industry 4.0.

Advanced process control/ Advanced equipment control (APC/AEC)
Intelligent systems
Automated material handling systems (AMHS) routing & scheduling
Big data analytic and applications
Computational intelligence for smart manufacturing
Data mining for yield and production improvement
Data science and machine learning for smart manufacturing
Decision support systems (DSS)
Decision technologies for smart manufacturing
Equipment diagnosis and predictive maintenance
Equipment productivity improvement
Factory modeling, analysis and performance evaluation
Industry 4.0 and Cyber-Physical Systems
Intelligent cooperation to resource planning & allocation
Internet of Things (IoTs) and multi-mode sensors
Manufacturing innovation
Manufacturing intelligence & manufacturing informatics
Mobile and wireless applications (RFID)
Product design and virtual design
Service innovation
Yield enhancement systems and e-Diagnosis
Product and process optimization based on IoT and big data analytics

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