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A Conceptual Framework for Industry 4.0
... In Industry 4.0, digital technologies, data analytics, artificial intelligence (AI), and the Internet of Things (IoT) are integrated into industrial processes (Demir et al., 2021). In addition to optimizing efficiency and productivity, this wave has also laid the foundation for sustainable practices in various industries. ...
... In essence, the concept of smart factories is based on the concept that machines and systems can communicate with each other as well as with human operators to perform the tasks that are required. This revolution has led to several new technologies including digital twins, that are being used to create virtual replicas of real physical objects and processes and that can be monitored, optimized, and even automated in real-time (Demir, 2021). ...
Using Industry 4.0 technologies in energy harvesting has ushered in a transformative era, which has revolutionized the ways in which industries generate, consume, and store energy. The energy sector is experiencing a paradigm shift characterized by the seamless convergence of cyber-physical systems, the internet of things (IoT), big data analytics, and artificial intelligence in a way that has never been experienced before. There is no doubt that 4.0 technologies have a pivotal role to play in enhancing the output, efficiency, reliability, and sustainability of energy harvesting processes. In order to minimize downtime and maximize energy yield, artificial intelligence algorithms contribute to predictive maintenance strategies. A new generation of autonomous, self-optimizing systems is on the verge of being developed thanks to the synergistic effects between Industry 4.0 and energy harvesting.
... The fourth industrial revolution the universities are operating in was firstly introduced in January 2016 by Klaus Schwab in his book titled "The Fourth Industrial Revolution(4IR)" (Xu et al., 2018). Fourth industrial revolution and industry 4.0 are used interchangeably and many academicians use industry 4.0 as the synonym of 4IR (Demir, 2021;Marzano & Martinovs, 2020;Kitole, 2023;Nasution, 2021). The main features of 4IR include the fifthgeneration mobile network (5G), Cloud Computing, Artificial Intelligence (AI), three-dimensional (3D) printing, robotics, drones, biometrics, genomics, virtual reality (VR) and augmented reality (AR), internet of things (IoT), industrial internet of things (IIoT) and block chain (Mhlanga, 2022;Kitole et al. 2023a;2023b). ...
The late Mwalimu Julius Nyerere is considered as one of the pioneers of the African revolution, his struggles entailed the economic change that embodied the employability transformations in order to increase production and enhance growth. However, changes in the industrial revolution as the result of technological changes resulted in the shift of employment patterns across generations from the Nyerere generation which represent the second and third industrial generation to the new fourth industrial revolution (4IR) which is characterized by high technological innovations. These innovations have led to the change in the government policies in order to equip youths especially university graduates with relevant skills to cope with the speed of 4IR. Despite the efforts undertaken by governments to address and enhance soft and technical skills development most graduates have been fearing of losing chances before these technological innovations, therefore the current study explores youth perception on the employability status in the face of 4IR in Tanzania using probit model from 100 students at Mzumbe university who were randomly sampled. The results reveal that there is a positive relationship between life/soft skills, technological/hard skills, awareness of 4IR, preparation for self-employment, and graduate’s employability in 4IR, shown by positive coefficients of 0.514, 0.337, 0.976 and 1.038 respectively. Life/soft skills, technological/hard skills, awareness of industry 4.0, and preparation for self-employment were found significant at a 5% significance level with p-values of 0.000, 0.034, 0.033, and 0.029 respectively. Simply the findings suggest that a graduate (finalist) who is aware of industry 4.0, is prepared for self-employment, and have soft/life skills and technological/hard skills. Therefore, the study recommends that higher learning institutions and government authorities governing higher learning should be investment in the soft skills among youths, and enhance entrepreneurial course that constitutes innovation and creativity components in order to enable graduates and youths be able to cope with the speed of the technological and industrial demands for employability.
... (Mugahed Ahmed Abdullah & Research Scholar, 2017) This ERP will update old stand-alone computer systems such as finance, human resources, production, and warehouse functions and break them down into modules that run under one program. (Demir et al., 2020). With the presence of this ERP software, it aims to improve the quality and productivity of the management and marketing of the creative beading industry in Sumberlesung Village, Ledokombo District, and Jember Regency. ...
Sumberlesung Village is a village that is administratively located in Ledokombo District, Jember Regency. One of the most famous potentials of Sumberlesung Village and continues to be developed is the handicraft industry in the form of beads, which are exported abroad. But in reality, even though it has been exported to various countries, it turns out that the existence of this beading craft is still not well known by the local community and needs to be expanded further abroad. So that there is a need for improvement and development in terms of segmentation and marketing locally and abroad, this happens because the bead artisans in Sumberlesung Village have not yet marketed their products digitally so an innovation is needed that can integrate their products with technology. Departing from the above problems, the author plans an idea in the form of village empowerment by establishing a community in Sumberlesung Village equipped with software, namely ERP (Enterprise Resource Planning) which is integrated with the website. The research method used is qualitative research with a A.D.D.I.E. The expected target of this research is that the bead craftsmen are members of a community who can market digitally in export and import activities as well as the craftsmen who understand the concept of technology and ERP software systems.
... By understanding the current maturity levels of firms and sectors, senior management and policymakers can see the whole picture, better focus on Industry 4.0 performance, and set a road map for the future. Besides, increasing environmental awareness, legal regulations, diminishing natural resources, and market competition lead to the emergence of sustainable supply chains (Demir et al, 2020). Hence smart and sustainable supply chain readiness and maturity assessment helps evaluate the current state and set a strategic roadmap. ...
Many companies embrace Industry 4.0 technologies to enable operational sustainability against increasing climate change effects, decreasing natural resources, and raising consumer awareness of environmental issues. Even though readiness and maturity assessment of smartness and sustainability concepts are nested, no study simultaneously focuses on these concepts. As pioneering research, we propose a novel model titled “Smart and Sustainable Supply chain Readiness and Maturity model (S3RM)” and validate it by conducting a case study in the automotive industry. We design our model upon the triple-bottom-line (TBL) approach consisting of smartness and sustainability dime5nsions. Our study introduces the TBL of smartness covering availability, integrity, and adaptability sub-dimension. TBL of sustainability includes social, environmental, and economic sub-dimensions. The proposed model calculates the Smart and Sustainable Readiness and Maturity Index by averaging sustainability scores’ summation and smartness scores’ multiplication. Each sub-dimension consists of items measured by a readiness and maturity scale. The findings suggest how smartness and sustainability items create strengths, weaknesses, opportunities, and threats for the supply chain operations. Our model provides managerial implications in assessing the readiness and maturity of Industry 4.0 tools and sustainability indicators. This study offers a road map to managers on smart and sustainable supply chains’ defined target areas.
Dijitalleşen dünyada, ülkemiz sanayisi için çok önemli olan KOBİ’lerin Endüstri 4.0’a geçiş ve uyumları büyük önem taşımaktadır. Bu nedenle, KOBİ’ lerin bu geçiş süreçlerinde hazırlık ve olgunluk düzeylerini ölçülebilir yöntemlerle takip edebilmeleri uygulamada çıkabilecek sorunların önceden belirlenmesi ve sürecin sağlıklı tamamlanması açısından büyük önem arz etmektedir. Bu çalışmada; Şanlıurfa ilinde farklı sektörlerde faaliyet gösteren KOBİ’lerin Endüstri 4.0’ın temelini oluşturan teknolojilerden beş tanesine (Robotik ve Otonom Sistemler, Eklemeli İmalat, Nesnelerin İnterneti, Bulut Bilişim, Siber Güvenlik) hazırlık ve olgunluk seviyelerini akıllı ve sürdürülebilir tedarik zinciri kapsamında belirlenmesi ve sektörel olarak Endüstri 4.0 olgunluk seviyelerinin ortaya çıkarılması amaçlanmıştır. Çalışmanın sonuçlarına göre, Şanlıurfa'da enerji sektöründe faaliyet gösteren şirketlerin Endüstri 4.0’ ın beraberinde getirdiği dijital dönüşüm sürecine makine ve tekstil sektöründe faaliyet gösteren şirketlere göre daha hazır oldukları ortaya çıkmıştır. Enerji sektöründeki şirketlerden sonra en hazır olan sektör tekstil sektöründeki şirketler olarak belirlenirken, makine sektörü bu iki sektörün gerisinde kalmıştır. Şanlıurfa ve çevre illerdeki, KOBİ' lerin hazırlık ve olgunluk seviyelerinin belirlenmesi konusunda farkındalıklarının oluşturulması, onların dijital dönüşümün önemini daha iyi anlamalarını sektörlerinde rekabet avantajını elde tutmalarını sağlayacaktır.
A key characteristic for industrial production in the Industry 4.0 paradigm is the connection of physical items like sensors, devices and enterprise assets, connected both to each other and to the Internet. In this Internet of Things environment, things will sense more data, become context-aware and provide added-value information to assist people take more relevant and valuable decisions. Context-aware information distribution may offer substantial value to manufacturing. It provides task-relevant information or services to users in a manufacturing shop-floor improving decision making through context-driven recommendations. This paper presents a context-aware information distribution system to support users in an industrial environment. The system aims at utilising data collected from sensors located at a shop-floor in order to increase the visibility of shop-floor processes by providing the right information, to the right people, at the right time. The system’s architecture and key elements have been developed for a pilot implementation in the white goods industry and are presented in this study.