Design Principles for Industrie 4.0 Scenarios
By Mario Hermann, Tobias Pentek, Boris Otto. Hawaii International Conference on System Sciences, 2016
2,193 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation, Marketing
View Paper: https://www.semanticscholar.org/paper/2cfd7f75bdac0514d850a0e96c4aae95260deebb
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
- Fei Tao
- Qinglin Qi
- Marcello M. Mariani
- Matteo Borghi
- Hervé Panetto
- Mario Lezoche
- Michele Dassisti
- Concetta Semeraro
In Management of Technology and Innovation
- Matteo Borghi
- Marcello M. Mariani
- Fei Tao
- Qinglin Qi
- Lida Xu
- Ling Xia Li
- J. Garza‐Reyes
- Charbel José Chiappetta Jabbour
In Marketing
- Fei Tao
- Qinglin Qi
- Charbel José Chiappetta Jabbour
- Judit Olah
- David Romero
- Edmundas Kazimieras Zavadskas
- Matteo Borghi
- Marcello M. Mariani
Citations in the corpus
- Industry 4.0 for the Construction Industry: Review of Management Perspective (2019, methodology): “The critical components of IR 4.0, cyber-physical systems (CPS), Internet of things (IoT), Internet of services (IoS), artificial intelligence (AI), big data, and smart production applications (Hermann et al. 2016), can optimize the use of BIM during the construction stage.”
- Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges (2017, background): “tech strategy [14], and numerous academic projects, research articles, and conferences have focused on this topic [2].”
- The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda (2018, neutral): “Numerous implementation frameworks for lean manufacturing have been proposed (Bhamu and Sangwan 2014), and guidelines for implementation of Industry 4.0 are starting to emerge (Hermann, Pentek, and Otto 2016).”
- Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations (2018, background): “By means of the IoT, cyberphysical systems can be connected to companies and individuals, enabling interoperability with them (Hermann et al. 2016).”
- EDUCATION 4.0: DEFINING THE TEACHER, THE STUDENT, AND THE SCHOOL MANAGER ASPECTS OF THE REVOLUTION (2020, background): “Kilic (2018) emphasized that mentor teacher figure will be important instead of the classical authoritarian teacher figure in Education 4.”
- Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy (2019, background): “0, and to accomplish sustainability in SC, strong government support and policies are required (Kagermann 2015; Hermann, Pentek, and Otto 2016; Bag et al. 2018).”
- New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics (2019, background): “Intelligent production and smart factory are two core components as well as key features, which could meet personalized requirements of customers [5], [6].”
- Industry 4.0 and Sustainability Implications: A Scenario-Based Analysis of the Impacts and Challenges (2018, methodology): “Smart production is also achieved with real-time data acquisition and processing, to monitor, control and optimize the production flow [14,20], including advanced data mining and big data analysis (BDA) [37].”
- Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments (2017, background): “cal devices which are provided with technologies to collect data about themselves and their surroundings, process and evaluate these data, connect and communicate with other systems and initiate actions to achieve their goals [2], [12].”