scholarly journals Innovation Trajectories for a Society 5.0

Data ◽  
2021 ◽  
Vol 6 (11) ◽  
pp. 115
Author(s):  
Fabio De Felice ◽  
Marta Travaglioni ◽  
Antonella Petrillo

Big Data, the Internet of Things, and robotic and augmented realities are just some of the technologies that belong to Industry 4.0. These technologies improve working conditions and increase productivity and the quality of industry production. However, they can also improve life and society as a whole. A new perspective is oriented towards social well-being and it is called Society 5.0. Industry 4.0 supports the transition to the new society, but other drivers are also needed. To guide the transition, it is necessary to identify the enabling factors that integrate Industry 4.0. A conceptual framework was developed in which these factors were identified through a literature review and the analytical hierarchy process (AHP) methodology. Furthermore, the way in which they relate was evaluated with the help of the interpretive structural modeling (ISM) methodology. The proposed framework fills a research gap, which has not yet consolidated a strategy that includes all aspects of Society 5.0. As a result, the main driver, in addition to technology, is international politics.

IoT ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 49-75
Author(s):  
Antonio Oliveira-Jr ◽  
Kleber Cardoso ◽  
Filipe Sousa ◽  
Waldir Moreira

Industry 4.0 and digital farming rely on modern communication and computation technologies such as the Internet of Things (IoT) to provide smart manufacturing and farming systems. Having in mind a scenario with a high number of heterogeneous connected devices, with varying technologies and characteristics, the deployment of Industry 4.0 and digital farming solutions faces innovative challenges in different domains (e.g., communications, security, quality of service). Concepts such as network slicing and Software-Defined Networking (SDN) provide the means for faster, simpler, scalable and flexible solutions in order to serve a wide range of applications with different Quality-of-Service (QoS) requirements. Hence, this paper proposes a lightweight slice-based QoS manager for non-3GPP IoT focusing on different use cases and their varying requirements and characteristics. Our focus in this work is on non-3GPP IoT unlicensed wireless technologies and not specifically the end-to-end network slice perspective as described in 5G standards. We implemented and evaluated different QoS models in distinct scenarios in a real experimental environment in order to illustrate the potential of the proposed solution.


2020 ◽  
Vol 9 (10) ◽  
pp. 600 ◽  
Author(s):  
Antigoni Faka

This study proposes an integrated methodology for evaluating and mapping quality of life (QoL) and the quality of a place as residence area, at local level. The QoL assessment was based on the development of composite criteria, using geographical variables that evaluate QoL, and geographic information systems. The composite criteria are related to the natural and the socioeconomic environment, the housing conditions, the infrastructure and services, and the cultural and recreational facilities. Each criterion was evaluated by a set of variables and each variable was weighted based on the residents’ preferences and the analytical hierarchy process. The criteria were also weighted and combined to assess overall QoL. The methodology was implemented in the Municipality of Katerini, Greece, and QoL mapping led to the zoning of the study area and the identification of areas with low and high QoL. The results revealed the highest level of overall QoL in three out of twenty-nine communities, which provide better housing conditions and access to public services and infrastructures, combining also qualitative natural environment, whereas five mountainous and remote communities scored the lowest level. Mapping QoL may support decision making strategies that target to improve human well-being, increase QoL levels and upgrade living conditions.


2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shubhangini Rajput ◽  
Surya Prakash Singh

Purpose The purpose of this paper is to identify the Industry 4.0 barriers to achieve circular economy (CE). The study focuses on exploring the link between Industry 4.0 and CE. This leads to the implementation of integrated Industry 4.0-CE and attainment of sustainable production and consumption through analyzing the technological benefits of Industry 4.0. Design/methodology/approach Industry 4.0 barriers are identified from literature review and discussions with industry experts. Here, the interpretive structural modeling (ISM) technique is applied to develop the contextual relationship among the barriers and to identify the prominent barriers hindering the CE implementation. Findings The ISM hierarchical model and Matriced’ impacts croised-multiplication applique’ and classment analysis illustrate that the digitalization process and the semantic interoperability possess high driving power and low dependence. These barriers require keen attention to play a significant role in improving resource efficiency and sustainability, and absence of these barriers may not drive other barriers for CE. Apart from these barriers, cyber-physical systems standards and specifications, sensor technology and design challenges are also the most influential Industry 4.0 barriers for achieving CE. Practical implications The findings provide an opportunity for industry practitioners to explore the most driving Industry 4.0 barriers. The study confirms that integrated Industry 4.0-CE will maintain sustainable operations management by optimizing the production and consumption patterns. It will also provide an opportunity of customization where customers and products interact and can monitor the performance of the operations through the Internet of Things sensors. Originality/value The study provides integration of Industry 4.0 challenges to implement CE. However, the integration of the two burgeoning fields is still very scarce and lacks in adopting the technological benefits of the integrated Industry 4.0-CE.


Author(s):  
Daniela Ponciano ◽  
Fernanda Bogarim Borin Chiacchio ◽  
Gisele Alves Rodrigues ◽  
Daniely de Sousa Prado ◽  
Deusimar Noleto Soares ◽  
...  

Universities for the elderly are places focused on learning, well-being, and quality of life of the elderly which ensures healthier aging. Objective: To describe the contributions of universities of  the elderly to the healthy aging of their participants. Methodology: The work is characterized as bibliographic research. Regarding inclusion criteria, the bibliographic study included national journals on the theme, of the free access databases SCIELO and LILACS from 2008 to 2018. Results: Social experiences in universities promote the elderly a pleasurable old age, with socialization, the maintenance of friendships, self-knowledge, self-esteem, learning, the satisfaction of living. All this helps in coping with crises and losses of this phase and enables successful aging. Final considerations: given what was raised, it is concluded that the participation of the elderly in a university for the elderly contributes positively to a better quality of life in the aging process. This is because these sites offer the elderly the opportunity to live in a pleasurable and healthier way, as well as favors in maintaining biopsychosocial well-being.


2020 ◽  
Vol 64 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Arnulf Sebastian Schüffler ◽  
Christof Thim ◽  
Jennifer Haase ◽  
Norbert Gronau ◽  
Annette Kluge

Abstract. Industry 4.0, based on increasingly progressive digitalization, is a global phenomenon that affects every part of our work. The Internet of Things (IoT) is pushing the process of automation, culminating in the total autonomy of cyber-physical systems. This process is accompanied by a massive amount of data, information, and new dimensions of flexibility. As the amount of available data increases, their specific timeliness decreases. Mastering Industry 4.0 requires humans to master the new dimensions of information and to adapt to relevant ongoing changes. Intentional forgetting can make a difference in this context, as it discards nonprevailing information and actions in favor of prevailing ones. Intentional forgetting is the basis of any adaptation to change, as it ensures that nonprevailing memory items are not retrieved while prevailing ones are retained. This study presents a novel experimental approach that was introduced in a learning factory (the Research and Application Center Industry 4.0) to investigate intentional forgetting as it applies to production routines. In the first experiment ( N = 18), in which the participants collectively performed 3046 routine related actions (t1 = 1402, t2 = 1644), the results showed that highly proceduralized actions were more difficult to forget than actions that were less well-learned. Additionally, we found that the quality of cues that trigger the execution of routine actions had no effect on the extent of intentional forgetting.


2020 ◽  
Vol 12 (21) ◽  
pp. 8943
Author(s):  
Barbara Aquilani ◽  
Michela Piccarozzi ◽  
Tindara Abbate ◽  
Anna Codini

Advanced manufacturing solutions, augmented reality, and cloud and big data are technologies pertaining to Industry 4.0. These technologies improve working conditions, create new business models, and increase both productivity and firm quality production. However, they can also improve life and society as a whole. This new perspective, oriented toward social and global well-being, is called Society 5.0. As has happened for all past industrial revolutions, Industry 4.0 will support the transition to a different society, i.e., Society 5.0. In this transition, open innovation and value co-creation can play an important role. The aim of the study was twofold: to examine how Industry 4.0 features and enabling technologies can support the transition to Society 5.0 and to investigate the roles of both open innovation and value co-creation within this transition. A conceptual framework was developed to jointly consider for the first time Industry 4.0, Society 5.0, open innovation, and value co-creation, which are all challenging issues that firms must cope with nowadays. Managers could profit from these insights to design ad hoc strategies in order to benefit from the opportunities emerging from this transition and overcome the main related challenges.


2018 ◽  
Vol 2 (2) ◽  
pp. 7-14
Author(s):  
Shirley Mo-Ching Yeung

Since the adoption of UNSDGs in New York in September 2015, quality of education (UNSDG #4) with transferable skills for economic development and social inclusion has been discussed. The application of design thinking with a new perspective of applying ABC costing into training services for innovations and transformations to achieve United Nations Sustainable Development Goals (UNSDGs) has become a trend. This paper is to explore the use of ABC costing into pioneer training services of blockchain content-based distribution technology and aromatherapy for well-being with design thinking for realizing the impacts of costing model, the application of CSR/Sustainable Development concepts for quality training services. These findings provide a better understanding of costing, pioneer concepts of design thinking for the applicability of UNSDGs #3 well-being and #4 quality of education in Hong Kong.


Author(s):  
Nilubon Chonsawat ◽  
Apichat Sopadang

In the Industry 4.0 revolution, advanced manufacturing capabilities integrate technology and data to create intelligent production systems, such as automation, cloud computing, the Internet of Things and cyber-physical systems. Small and medium-sized enterprises, which are the backbone of economic growth, especially must apply the advanced technology in their business and operations so as to increase productivity. This paper empirically proposes the Smart SMEs 4.0 maturity model and its implementation for assessing the readiness of an organisation to enter the realm of smart manufacturing. The model is categorised into five dimensions as well as 43 sub-dimensions for evaluating SMEs 4.0 maturity. These dimensions are mainly composed of “manufacturing and operations”, “people capability”, “technology-driven process”, “digital support” and “business and organisation strategies”. Moreover, the model is implemented in two case studies for two companies in Thailand. The results imply that the model can evaluate an organisation’s readiness and also can guide companies to implement the Smart SMEs 4.0 efficiently.


2021 ◽  
Vol 273 ◽  
pp. 07024
Author(s):  
Nikolay Boldyrikhin ◽  
Ali Tawafan Al-Obaydi ◽  
Alexey Svizhenko ◽  
Alexander Manin ◽  
Ivan Sosnovsky

The article discusses the possibilities of using wireless technologies of the Internet of Things at agricultural facilities using the example of ZigBee technologies. This topic seems to be relevant, since the smart farm market is growing very quickly. This is due to the fact that the use of automated control systems for humidity, temperature, acidity, electrical conductivity of the soil, etc. allows you to increase productivity, reduce costs. The aim of the research is to assess the potential communication range between ZigBee devices, and to analyze the factors affecting the quality of the radio channel. As the results of the work, it should be noted a mathematical study of radio channels at frequencies of 868 and 2400 MHz, analysis of factors affecting signal propagation. The article also provides practical recommendations for choosing a network topology and ZigBee equipment..


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