Notwithstanding its disruptive potential, which has been the object of considerable debate, Industry4.0 (I4.0) operationalisation still needs significant study. Specifically, scheduling is a key ...process that should be explored from this perspective. The purpose of this study is to shed light on the issues regarding scheduling that need to be considered in the new I4.0 framework. To achieve this, a two-stage cascade literature review is performed. The review begins with an analysis regarding the opportunities and challenges brought by I4.0 to the scheduling field, outputting a set of critical scheduling areas (CSA) in which development is essential. The second-stage literature review is performed to understand which steps have been taken so far by previous research in the scheduling field to address those challenges. Thus, a first contribution of this work is to provide insight on the influence and expected changes brought by I4.0 to scheduling, while showcasing relevant research. Another contribution is to identify the most promising future lines of research in this field, in which relevant challenges such as holistic scheduling, or increased flexibility requirements are highlighted. Concurrently, CSA such as decentralised decision-making, and human-robot collaboration display large gaps between current practice and the required technological level of development.
•Current status and future prospects of renewable and non-renewable resources are evaluated in light of COVID-19.•Providing a secure supply of electricity systems in terms of cyber-attacks and ...climate change are addressed.•Modernization and digitalization of the energy system are assessed.•The role of industrial 4.0 is discussed to achieve the SDGs and to enhance energy efficiency.•Integration of the smart grid with blockchain network is offered.
Taking into consideration of substantial role of energy system and sustainable development goals (SDGs) in modern society, it is critical to analyse current situation and forthcoming renewable energy development strategies under the impact of COVID-19. For this purpose, this paper provides significant new insights to assess effective approaches, opportunities, challenges and future potential capabilities for the development of energy systems and SDGs under on-going pandemic and in case of a future global crisis. The digital energy systems with Industry 4.0 (I4.0), which provide noteworthy solutions such as enhancing energy efficiency policy, providing clean, secure and efficient energy and achieving SDG targets, has been discussed and evaluated. Integration of the smart grid (SG) architecture with blockchain-Internet of Things (IoT)-based technologies is also offered. Alongside the various discussions, short-term, mid-term and long-term plans have been suggested in determining the well-defined renewable energy development and SDGs targets, struggling with climate change, transition to a more sustainable energy future and reaching global net-zero emissions. To achieve SDGs and provide more strong and sustainable energy systems under the continuing pandemic and in case of potential risk of forthcoming global crisis, this paper reveals significant perceptions that inform politicians and legislators in performing successful policy decisions.
Today, businesses are facing increasing demands from the customers and strong competitive pressure. Firms must continuously deliver value and satisfy customer demands to survive and maintain growth ...in the market. In this regard, organizations are implementing Industry 4.0 (I4) technologies to satisfy customer requirements, deliver value and sustain in the market. This study examines how strategic orientations (market and technology orientation) influence firms to adopt I4 technologies, and how I4 technologies can help to deliver customer value and improve firm performance. To this end, the study posits that adoption of I4 technologies develops innovation capability, which can lead to desired performance outcomes (innovation and market performance). The proposed model is examined using survey responses from 154 US industrial firms. Findings show that market and technology orientation have significant effect on adoption of I4 technologies, and partial mediation effect of technology orientation between market orientation and adoption of I4 technologies. Further, I4 technologies help to build innovation capability, which improves performance outcomes. The study provides implications for managers in industrial firms with regard to understanding the key facets of I4 technologies.
•Examines the effect of market and technology orientation on Industry 4.0 (I4).•Proposed model is tested using survey data from 154 US industrial firms by PLS.•Market and technology orientation have a positive effect on I4 technologies.•I4 technologies help firms to generate innovation capability.•Innovation capability positively affects innovation and market performance.
We are currently in the midst of a fourth wave of technological growth and the development of an industrial technology known as Industry 4.0. Industry 4.0 can be broken down into three major ...paradigms: smart product, smart machine and augmented operator. through which the factory operations are digital, which could imply and will put into operation the position of the producers on the market. Industry 4.0 is the future solution.
We are in a new stage of industrialization. Following the analysis of several definitions and interpretations, Smart Manufacturing, a term used in the USA for the next stage of industrialization, ...mainly refers to the use of information and technological communication to which is added the ability to analyze massive amounts of data in order to improve manufacturing processes and processes throughout the value chain. Following the concept of Industry 4.0, first mentioned by Germany in 2011, the Netherlands reacted with its own concept called Smart Industry, adapted to the strategy and vision from an industrial perspective and In turn, China has a Master Industrial Plan called "Made in China 2025" and is in fact the national strategic plan to transform the country into a superpower in terms of technology and manufacturing. This industrial policy aims to achieve economic supremacy and global recognition.
Industrial revolution 4.0 has an impact, namely the demand for the labor market has changed, where the automation revolution replaces work that is usually capable of being done by humans and poses ...the risk of termination of employment. The purpose of this study is to identify the competencies that must be possessed by graduates based on aspects of organizational activity according to the needs of the industry. The data in this study are in the form of literacy studies, data from direct interviews with the industry and questionnaires to a number of respondents. Testing the validity of the questionnaire using the product moment correlation formula, followed by reliability testing using the Cronbach alpha. Meanwhile, to determine the sample size in this study using the purposive sampling technique with a total of 75 respondents consisting of practitioners and graduates of the Faculty of Engineering, Universitas Negeri Jakarta (FT-UNJ), Indonesia. The research method is carried out with a qualitative descriptive method which is intended to obtain results that describe in detail the competencies that must be possessed by graduates based on aspects of organizational activity according to the needs of the industry. The results of the research related to the competence of graduates needed by industry 4.0 based on aspects of organizational activity, namely open minded, decision making abilities, emotional intelligence, cognitive flexibility, service orientation, coordinating with others, leadership skills, critical thinking and creativity skills, skills in technology, and complex problem solving.
•A comprehensive literature review of Industry 4.0 based on text mining was performed.•Four clusters emerged: “Business”, “Operations”, “Technological solutions” and “Work and skills”.•The analysis ...allowed the understanding of the evolution of research areas on the topic.•Prominent future research directions emerged from the analysis of recent studies.
The existing literature provides a ‘piecemeal’ approach to our understanding of Industry 4.0 as a ‘technological revolution’. However, such an approach leads to scattered literature and the possibility (or risk) that the focus could spin out of control in terms of the existing themes and future research trends. Consequently, the aim of this research is twofold: (i) to identify the main overarching themes discussed in the past and track their evolution over time, and (ii) propose a future research agenda for each overarching theme that considers the multidisciplinary nature of research efforts made on the topic. To reach the first objective, a method based on text mining was implemented. To reach the second one, a review based on recent and relevant paper was made for each overarching theme. Text mining suggests four overarching themes: (i) business, (ii) operations, (iii) technological solutions and (iv) work and skills. ‘Business’ includes studies that investigate the impact of Industry 4.0 on business perspectives and they suggest that governments and industries have a change in manufacturing perspective and attempt to benefit from this industrial revolution wave. ‘Operations’ includes studies investigating the impact of Industry 4.0 new technologies on production, logistics, and supply-chain processes. Manuscripts belonging to ‘Technological solutions’ discuss technological solutions at the core of Industry 4.0. ‘Work and skills’ stream of literature attempts to under the human element lurking behind the scene of Industry 4.0 regarding opportunities and implications. Finally, the paper suggests a future research agenda for each overarching theme, thus paving the way for new research on the topic.
This study was conducted because the current situation requires awareness, assumption and rapid action in a context where digitalization has changed the business world more than anyone expected, ...putting pressure on the employed human capital, which now requires continuous professional development. We believe it's time to learn to reinvent ourselves and progress every day to keep up with the changing environment. Industry 4.0, suggestively called "Web of Things", originated in Germany and emerged to make people's work easier by automating repetitive processes and more. Thus, many companies have begun to turn to artificial intelligence (IoT) to solve work tasks. In terms of accounting, the accounting profession will transform considerably by 2025 as public expectations have evolved. We will see how the ability to integrate artificial intelligence and use Big Data will help accountants use the data produced by the system and generate important insights into decision 10 1. However, implementing these technological innovations will not entirely eliminate the role of accountants. The study also draws attention to the impact of the digital age on the environment, on the use of renewable energy. The study below contributes to the literature by presenting the impact of digital technology, as Romanian businesses need to be very diligent in terms of having the necessary skills to take advantage of the latest developments in information technology to maintain their position in the market.
Digital Twin is a virtual representation of objects, processes, and systems that exist in real-time. While Digital Twin can represent digital objects, they are often used to connect the physical and ...digital worlds. This technology plays a vital role in fulfilling various requirements of Industry 4.0. It gives a digital image of a factory's operations, a communications network's activities, or the movement of items through a logistics system. This paper studies Digital Twin and its need in Industry 4.0. Then the process and supportive features of Digital Twin for Industry 4.0 are diagrammatically discussed, and finally, the major applications of Digital Twin for Industry 4.0 are identified. Digital Twin sophistication depends on the process or product represented and the data available. Manufacturers can learn how assets will behave in real-time, in the physical world, by putting sensors on particular assets, gathering data, creating digital duplicates, and employing machine intelligence. They can confidently make wise judgments, which helps improve company performance. Digital Twin assesses material usage to save costs, discover inefficiencies, replicate tool tracking systems, and do other things. Manufacturers construct a digital clone for specific equipment and tools, exclusive products or systems, entire procedures, or anything else they want to improve on the factory floor. Sensors and other equipment that collect real-time data on the state of the process or product collect this information, which on the other hand, must be handled and processed appropriately. It is made feasible by IoT sensors, which collect data from the physical environment and transmit it to be virtually recreated. This information comprises design and engineering details that explain the asset's shape, materials, components, and behaviour or performance.
Industry 4.0 is a ubiquitous term throughout general newspapers, on company websites or in scientific journals. One of its key constructs is the smart factory, envisioned as a future state of a fully ...connected manufacturing system, mainly operating without human force by generating, transferring, receiving and processing necessary data to conduct all required tasks for producing all kinds of goods. Although the understanding of smart factory concepts has been sharpened in the last years, it is still difficult for industrial companies to establish a concrete strategy roadmap within the jungle of different terminologies, ideas and concepts. To generate further clarity and to consolidate the previous findings around smart factory for researchers as well as for practitioner, we conducted a systematic literature review. For this purpose, we chose a five steps approach: Scope definition, topic conceptualisation, literature search, literature analysis and synthesis, and synthesis of future research questions. During our review, we found that research within each perspective is fragmented and unequally advanced. Most publications treat single use cases with low generalizability, often rely upon machine data, typically have a technical nature and seldom incorporate impact estimations. In this paper, our key academic and practical contribution lies in the categorisation of the selected publications into eight thematic distinct perspectives within the sphere of smart factory: Decision making, cyber-physical systems, data handling, IT infrastructure, digital transformation, human machine interaction, IoT, and cloud manufacturing and services. These are further developed into the smart factory research model, stating a foundation for future research endeavors.
•Systematic literature review and analysis of 106 papers within smart factory.•Research around the smart factory construct is heterogeneous and unequally advanced.•Most articles treat single use cases with low generalizability.•The articles often rely upon machine data and typically have a technical nature.•Categorisation into eight perspectives by applying qualitative coding techniques.
