Special Section on Optimization algorithms for Industry 4.0
• 大类 : 工程技术 - 4区
• 小类 : 计算机：硬件 - 3区
• 小类 : 计算机：跨学科应用 - 4区
• 小类 : 工程：电子与电气 - 4区
Industry 4.0 is a term coined to signify the dramatic changes and revolution occurring in manufacturing process by leveraging the services of cyber-physical systems. The driving forces behind industry 4.0 revolution are big data analytics, simulation, robotics, Internet of Things (IoT), system integration both horizontally and vertically, Cloud and other forms of distributed computing paradigms, cyber security, augmented reality and additive manufacturing. Gone are the days where there was a stiff competition between companies in terms of the product manufactured. The trend has shifted in such a way that competing companies are measured or ranked based on how well they have embraced the above technologies into their manufacturing process and adapted to the evolving changes across these areas. In simple terms Industry 4.0 can be termed as computerization of Industry 3.0. Industry 4.0 provides a perfect platform in identifying business opportunities and identifying the key areas and features that may cater to these new and exciting opportunities.
Several aspects need to be considered while developing an optimized approach. It must also be noted that adapting to these technologies alone is not sufficient and by adapting to these technologies there should be a significant impact to the manufacturing process on a positive front. Most of these technologies are new and hence most of the approaches and algorithms used across these technologies are also naïve. In other words the mere adapting of these technologies into the manufacturing process alone will not yield better results, the focus should also be directed towards how these raw concepts, approaches and algorithms can be optimized to produce better results. Another aspect that needs to be considered during optimization is to have an eye on the futuristic evolutions and changes that might impact the current process. Also, the optimized algorithms should be aimed at providing robust, secure and stable and consistent results over a manufacturing period. Another aspect that needs to be contemplated is the scalability and portability of the algorithm in terms of features and volume of data that it can handle. The real challenge for several researchers is to enhance and optimize these existing approaches by considering all these aspects.
This special section provides a platform to share original ideas related to optimizing algorithms pertaining to several technologies that are driving forces for Industry 4.0. Also new ideas and approaches that enhance the performance of existing algorithms and any complexity reduction techniques which lead to performance enhancements can be shared.
Topics of interest include:
New techniques to enhance Industry 4.0.
Smart manufacturing systems that promote Industry 4.0.
Intelligent systems for smart data analytics in Industry 4.0.
Data optimization leading to efficient manufacturing in Industry 4.0.
Optimized algorithms that promote distributed manufacturing in Industry 4.0.
Enhancements to privacy, security and trust in Industry 4.0 enablers.
Big data analytics and Industry 4.0.
Enhancement in Robotics and automation promoting Industry 4.0.
Optimized approaches that promote distributed computing in Industry 4.0.
Enhanced strategies and applications in Fog and Edge computing in Industry 4.0.
Enhanced IoT devices that promote Industry 4.0.
IoT based services and enhancements promoting Industry 4.0.
Sophisticated simulation models for real time applications promoting smart manufacturing.
Effective and efficient cyber physical systems that promote Industry 4.0.
Augmented reality based services in smart and distributed manufacturing.
Challenges and solutions in adopting Industry 4.0 across business.
Futuristic trends of Industry 4.0.
Designing and simulating successful manufacturing models promoting Industry 4.0.