Researching the Effects of Automation and Digitalization on Manufacturing Companies’ Productivity in the Early Stage of Industry 4.0

Horvat, Djerdj; Kroll, Henning; Jäger, Angela

doi:10.1016/j.promfg.2020.01.401

Cited by 26 publications

(18 citation statements)

References 9 publications

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“…The results reflect the prior findings that put organizations in the initial or early stages of Industry 4.0 adoption [ 4 , 83 , 111 ]. Comparing our results with those from the University of Warwick model [ 44 ], we can observe that they paint a similar picture.…”

Section: Discussionsupporting

confidence: 87%

Speeding Up the Implementation of Industry 4.0 with Management Tools: Empirical Investigations in Manufacturing Organizations

Črešnar

Potočan

Nedelko

2020

Sensors

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The main purpose of this study is to examine how the use of management tools supports the readiness of manufacturing organizations for the implementation of Industry 4.0. The originality of the research is reflected in the exploration of the relationship between the use of the selected well-known management tools and their readiness for the implementation of Industry 4.0, which was assessed using a combination of two models—one developed by the National Academy of Science and Engineering (Acatech) and the other by the University of Warwick. The relationship was assessed by applying structural equation modeling techniques to a data set of 323 responses from employees in manufacturing organizations. The results show that the use of six sigma, total quality management, radio frequency identification, a balanced scorecard, rapid prototyping, customer segmentation, mission and vision statements, and digital transformation is positively associated with Industry 4.0 readiness. Inversely, outsourcing and strategic planning are negatively associated with Industry 4.0 readiness, while lean manufacturing, which is often emphasized as the cornerstone of Industry 4.0 implementation, is not associated with Industry 4.0 readiness in our study. These findings can help organizations to understand how to consider and measure readiness for the implementation of Industry 4.0 more comprehensively and present guidelines on how the use of management tools in manufacturing organizations can foster their implementation of Industry 4.0 principles.

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Section: Discussionsupporting

confidence: 87%

Speeding Up the Implementation of Industry 4.0 with Management Tools: Empirical Investigations in Manufacturing Organizations

Črešnar

Potočan

Nedelko

2020

Sensors

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“…The use of ML offers the possibility to overcome the recurring challenge in wood technology that of transforming the very heterogeneous wood samples into products with defined qualities. The combination of digitization approaches 233 with advanced ML algorithms 234 will enable effective prediction of wood properties and the recommendation of appropriate and adequate treatment and processing strategies. This might lead to an improved and efficient utilization of wood by reducing loss, rejects, and renovation expenditures (Figure 14b).…”

Section: Machine Learning and A New Era For Wood Technologymentioning

confidence: 99%

Sustainability in Wood Products: A New Perspective for Handling Natural Diversity

2022

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Wood is a renewable resource with excellent qualities and the potential to become a key element of a future bioeconomy. The increasing environmental awareness and drive to achieve sustainability is leading to a resurgence of research on wood materials. Nevertheless, the global climate changes and associated consequences will soon challenge the wood-value chains in several regions (e.g., central Europe). To cope with these challenges, it is necessary to rethink the current practice of wood sourcing and transformation. The goal of this review is to address the intrinsic natural diversity of wood, from its origin to its technological consequences for the present and future manufacturing of wood products. So far, industrial processes have been optimized to repress the variability of wood properties, enabling more efficient processing and production of reliable products. However, the need to preserve biodiversity and the impact of climate change on forests call for new wood processing techniques and green chemistry protocols for wood modification as enabling factors necessary for managing a more diverse wood provision in the future. This article discusses the past developments that have resulted in the current wood value chains and provides a perspective about how natural variability could be turned into an asset for making truly sustainable wood products. After briefly introducing the chemical and structural complexity of wood, the methods conventionally adopted for industrial homogenization and modification of wood are discussed in relation to their evolution toward increased sustainability. Finally, a perspective is given on technological potentials of machine learning techniques and of novel functional wood materials. Here the main message is that through a combination of sustainable forestry, adherence to green chemistry principles and adapted processes based on machine learning, the wood industry could not only overcome current challenges but also thrive in the near future despite the awaiting challenges.

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“…The major assumption in the city is that first and foremost among all the industries, the raw material supplying industries are more focused on increased automation. By doing so, productivity is enhanced, and the supply chain would experience a steady flow of products as it requires less human intervention ( Horvat, Kroll, & Jäger, 2019 ; Sun, Jämsä-Jounela, Todorov, Olivier, & Craig, 2017 ). Secondly, digitalization is well established within the city.…”

Section: Technology – a Weapon To End The Pandemicmentioning

confidence: 99%

A hover view over effectual approaches on pandemic management for sustainable cities – The endowment of prospective technologies with revitalization strategies

Elavarasan

Pugazhendhi

Shafiullah

et al. 2021

Sustainable Cities and Society

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Researching the Effects of Automation and Digitalization on Manufacturing Companies’ Productivity in the Early Stage of Industry 4.0

Cited by 26 publications

References 9 publications

Speeding Up the Implementation of Industry 4.0 with Management Tools: Empirical Investigations in Manufacturing Organizations

Speeding Up the Implementation of Industry 4.0 with Management Tools: Empirical Investigations in Manufacturing Organizations

Sustainability in Wood Products: A New Perspective for Handling Natural Diversity

A hover view over effectual approaches on pandemic management for sustainable cities – The endowment of prospective technologies with revitalization strategies

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