scholarly journals Economic Analysis of Technology Infrastructure Needs for Advanced Manufacturing: Smart Manufacturing

Author(s):  
Michael P. Gallaher ◽  
Zachary T. Oliver ◽  
Kirsten T. Rieth ◽  
Alan C. O'Connor
2017 ◽  
Vol 2 (3) ◽  
pp. 1809-1816 ◽  
Author(s):  
Yu-Chuan Lin ◽  
Min-Hsiung Hung ◽  
Hsien-Cheng Huang ◽  
Chao-Chun Chen ◽  
Haw-Ching Yang ◽  
...  

Author(s):  
Amit Saxena ◽  
Abhay Saxena ◽  
Rajeev Sharma ◽  
Mukesh Parashar

Industry 4.0 buzzed out with a theme of “Smart Manufacturing for the Future”. With the advent of Industry 5.0, the world of technology is registering a paradigm shift from Customization to Personalization. Advanced Manufacturing, Cognitive Computing, AI, Robotics, Collaborative Robots, where all these technologies altogether introduces Industry 5.0 onto the stage. Cobot’s will be part of Human Resource Management. This Paper aims to visualize the Futuristic HRM and to understand the Collaborative Robots performance with Human HR’s. In this study, we had discussed the possible issues related to human-robot collective functionality from the organizational and HRM perspective. We had also suggested the effective role of HR and Cobot HR while dealing with the human and machine employees. We believe that the issues identified in this study will pave way for many upcoming organizational robotics research studies.


Author(s):  
Hussam Ali Alothman ◽  
Mohammad T. Khasawneh ◽  
Nagen N. Nagarur

Internet of things or IoT represents an emerging concept where the objects and humans are identifiable, connected and can communicate over the internet or the wireless world. With IoT, everything can communicate anytime and at anyplace. IoT has many applications and one of the most important applications is the manufacturing. The IoT in industry sector, sometimes referred to as IIoT, is considered to be a very important factor in the introduction of the fourth industrial revolution. Major manufacturing powers around the world are already trying to adopt IoT in their production systems and lead the way in this new era of advanced manufacturing. A huge number of IoT devices are already being used and connected and it is expected that the number of these applications and devices will increase dramatically in the next few years. In this work, an overview of IoT in manufacturing will be presented. This includes a discussion of some of the advantages and benefits of adopting IoT in manufacturing in addition to the issues and challenges that accompany this IoT application. The discussion will also include the concept of smart manufacturing, how production processes and other related activities can be connected in real time and how this can be achieved by adopting IoT in manufacturing. Furthermore, the enabling technologies needed to realize IoT (whether it is to be applied in a new plant or in already existing machines that don’t have IoT capabilities) are shown along with the different layers or phases needed for this IoT adoption. Finally, some real life examples of factories that adopted IoT are shown.


Author(s):  
ZongWei Luo

Fast advances in information technology (RFID, sensor, Internet of things, and the Cloud) have led to a smarter world vision with ubiquitous interconnection and intelligence. Smart manufacturing refers to advanced manufacturing with wise adoption of information technologies throughout end to end product and service life-cycles, capturing manufacturing intelligence for wise production and services. It represents a field with intense competition in this century of national competitiveness. In this chapter, an introduction to smart manufacturing innovation and transformation is presented. An example is used to illustrate what is happening in China's manufacturing industry, with insights about China's strategy of advanced manufacturing research and development. The chapter emphasizes the value chain analysis for setting smart manufacturing strategies. A case study is conducted in detail to showcase a value chain analysis of RFID enabled SIM-smart card manufacturing for China's mobile payment industry.


Author(s):  
Moneer Helu ◽  
Don Libes ◽  
Joshua Lubell ◽  
Kevin Lyons ◽  
K. C. Morris

Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized description of decision making. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies.


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