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Maturity level assessment for industry 4.0 integration into Lean Manufacturing
Published in Carolina Machado, J. Paulo Davim, Industry 4.0, 2020
Marcos Malinverni Pagliosa, Guilherme Luz Tortorella, João Carlos Espíndola Ferreira
Deemed as the fourth industrial revolution, I4.0 represents a set of technologies and concepts that can be applied to the value chain of organizations through the use of information and communication technologies, such as cyber-physical systems (CPSs), Internet of Things (IoT), and Big Data. The integration of I4.0 has the potential to significantly change existing value chains, their business models, and processes (Schmidt et al., 2015). In addition, it promotes digital integration that enables value chain members to intensively exchange data and information in real time, creating possibilities for process improvement (Tamás et al., 2016; Gubán and Kovács, 2017; Sanders et al., 2017). According to Kagermann et al. (2013), the use of I4.0 technologies can increase product quality while making manufacturing processes more efficient. It allows manufacturing system to be modular and flexible, thus enabling mass customization (Lasi et al., 2014; Posada et al., 2015; CNI Brazil, 2016; Tamás et al., 2016; Xu and Chen, 2016).
A Study of Maturity Model for Assessing the Logistics 4.0 Transformation Level of Industrial Enterprises
Published in Turan Paksoy, Çiğdem Koçhan, Sadia Samar Ali, Logistics 4.0, 2020
Kerem Elibal, Eren Özceylan, Cihan Çetinkaya
Today, emerging technologies especially about IT systems and electronics allow digital integration of all the components in an organization, starting from the product development till reaching the finished product to the customer. Internet of things (IoT), big data analysis, additive manufacturing (3D printing), manufacturing execution systems (MES) applied with artificial intelligence (AI), cloud computing, autonomous manufacturing assets, augmented reality systems, smart sensors, smart products are some of the key concepts of Industry 4.0 and provide not only the integration and communication of the organization in a cyber physical system (CPS), but also delivers the customized production in low batches in affordable and profitable levels (Elibal et al. 2018).
Airport Building Information Modelling
Published in Ozan Koseoglu, Yusuf Arayici, Airport Building Information Modelling, 2019
Figure 3.1 depicts how the INA BIM strategy encompassed all lifecycle phases of the project. The INA BIM has been responsible for continuous digital integration of the airport’s systems – structural, architectural, mechanical, baggage handling systems, electrical, infrastructure, special airport systems, and information technologies – throughout the whole project lifecycle. Also, this BIM for the whole project lifecycle strategy led to an increase in the level of detail from LOD 200 to LOD 500.
The transformation of supply chain collaboration and design through Industry 4.0
Published in International Journal of Logistics Research and Applications, 2022
Johannes W. Veile, Marie-Christin Schmidt, Julian M. Müller, Kai-Ingo Voigt
The digital integration further increases value creation efficiency through enhanced interaction and decision making, eventually reducing costs (Calatayud, Mangan, and Christopher 2018; Frederico et al. 2020; Haddud et al. 2017) through the application of BDA, IoT, remote access, common user interfaces, and platforms (Handfield, Jeong, and Choi 2019). Control systems, based on BDA and AI, autonomously identify dysfunction in processes (Da Silva, Kovaleski, and Pagani 2019). RFID technology, smart sensors, predictive analytical tools, and algorithms provide input to AI, IoT and BDA, all core elements for automating operational activities. Moreover, they allow humans to focus on strategic initiatives and decisions (Ralston and Blackhurst 2020; Tang and Veelenturf 2019).