Software-defined cloud manufacturing for industry 4.0

By L. Thames, Dirk Schaefer. 2016

354 citations recorded by the source corpus.

Abstract Many of the world's leading industrial nations have invested in national initiatives to foster advanced manufacturing, innovation, and design for the globalized world. Much of this investment has been driven by visions such as Industry 4.0, striving to achieve a future where intelligent factories and smart manufacturing are the norm. Within this realm, innovations such as the Industrial Internet of Things, Cloud-based Design and Manufacturing (CBDM), and Social Product Development (SPD) have emerged with a focus on capitalizing on the benefits and economies of scale provided by Internet Protocol (IP) communication technologies. Another emerging idea is the notion of software-defined systems such as software-defined networks, which exploit abstraction and inexpensive hardware advancements in an effort to build more flexible systems. Recently, the authors have begun considering how the notion of software-defined systems might be harnessed to achieve flexible cloud manufacturing systems. As a result, this paper introduces the notion of Software-Defined Cloud Manufacturing (SDCM). We describe a basic SDCM architecture based on leveraging abstraction between manufacturing hardware and cloud-based applications, services, and platforms. The goal of SDCM is to advance Cloud-Based Manufacturing and other Industry 4.0 pillars by providing agility, flexibility, and adaptability while also reducing various complexity challenges.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/2c44c9288af6503d1b6750968ef75a299ed85abb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Ling Xia Li
2. Wen Song
3. Qiqiang Li
4. Valerio Persico
5. Antonio Pescapè
6. Eric L. Xu
7. Zhiguang Cao
8. Lida Xu

Citations in the corpus

• Time-slotted software-defined Industrial Ethernet for real-time Quality of Service in Industry 4.0 (2019, neutral): “Recently, with the development of advanced industrial technologies such as Cyber–Physical Systems (CPS) and the Industrial Internet of Things (IIoT), Industry 4.0 was proposed to realize intelligent manufacturing and smart factories [1,2].”
• Industry 4.0: How it is defined from a sociotechnical perspective and how much sustainability it includes – A literature review (2020, background): “The idea of Industry 4.0 is based on rapid and efficient data transmission within the value chain (Heng, 2015) through which a higher level of operational efficiency (Thames and Schaefer, 2016) and productivity, as well as a higher level of automation (Lu, 2017) can be achieved.”
• Small business awareness and adoption of state-of-the-art technologies in emerging and developing markets, and lessons from the COVID-19 pandemic (2020, background): “Different possibilities have been presented to leverage cloud computing flexibility for the goals of dynamism and efficiency (Thames and Schaefer 2016).”
• Literature review of Industry 4.0 and related technologies (2018, neutral): “• Thames and Schaefer (2016) described a basic softwaredefined cloud manufacturing architecture based on leveraging abstraction between manufacturing hardware.”
• Cybersecurity for industrial control systems: A survey (2020, background): “Thames and Schaefer [79] have investigated the integration of software-defined networks (SDN) in ICSs.”
• A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “0 [24], [25], [28], [115], [117], [118], [120], a set of new paradigms has stemmed out, such as Control-aaS [25], [112], Industrial AutomationaaS [117], PLC-aaS [25], [112], and Machinery-aaS [112].”
• Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning (2023, background): “0, has received much attention in the past decade [1].”
• Industry 4.0: state of the art and future trends (2018, background): “Cloud-based manufacturing is a technology which can contribute signi fi cantly to the realisation of Industry 4.0 (Thames and Schaefer 2016).”