PurposeThe purposes of this research article are as follows: to explore the understanding of the Industry 4.0 (I4.0) concept among Indian manufacturing industries, to determine the motivating factors ...for I4.0 implementation, to identify I4.0 enabling technologies which are used by Indian manufacturing industries and assess their sustainability, to explore the impact of above identified enabling technologies on sustainability pillars, to determine how Indian manufacturing industries interpret the concept of I4.0 and to develop a road map for I4.0 implementation and sustainability.Design/methodology/approachTo perform this research work, a dual research methodology was adopted. Questionnaires were sent to 16 Indian manufacturing industries, and expert interviews were conducted with seven experts who have been practicing the I4.0 concept since the last three years in their business. Also, a sustainability measurement tool was developed to measure the sustainability of the used I4.0 enabling technologies.FindingsIn this research article, it is found that smart sensors and robot arms have high sustainability, whereas cyber physical systems (CPSs) and big data analytics have low sustainability. During an expert interview, it has been found that adoption of the I4.0 concept in Indian manufacturing industries is creating job loss fear in employees. Also, it is found that Indian workers must be trained to adopt and sustain I4.0 enabling technologies.Research limitations/implicationsThe sustainability of I4.0 enabling technologies in Indian manufacturing industries was indicated by analyzing responses received through questionnaires and expert interviews. There are other measures of sustainability which are beyond this study. Further studies are expected to fill the gap.Practical implicationsThe authors have explored reasons for low sustainability of I4.0 enabling technologies in Indian manufacturing industries, suggested a road map for its implementation and sustainability and identified the relationship between different parameters (such as job loss, job creation, workers’ qualification and business profit) and I4.0 sustainability, therefore helping Indian organizations to develop sustainable manufacturing systems based on the I4.0 concept.Originality/valueThis research article gives an idea about sustainability of I4.0 enabling technologies in Indian manufacturing industries.
One MES model in Digital Manufacturing Vukadinovic, Vojin; Majstorovic, Vidosav; Zivkovic, Jovan ...
Procedia CIRP,
2022, 2022-00-00, Letnik:
112
Journal Article
Recenzirano
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Digital manufacturing is base for Industry 4.0, based on advanced digital-oriented technologies, smart products (advanced production mode and new characteristics), and smart supply - chain ...(procurement of raw materials and delivery of finished products). Bidirectional exchange of information in collaborative manufacturing, using it exchange also for digital platforms of design of the innovative products. In this paper we are show developed model of Serbian digital factory with selected examples for the MES area.
Industry 4.0 (I4.0) aims to link disruptive technologies to manufacturing systems, combining smart operations and supply chain management (OSCM). Maturity models (MMs) are valuable methodologies to ...assist manufacturing organizations to track the progress of their I4.0 initiatives and guide digitalization. However, there is a lack of empirical work on the development of I4.0 MMs with clear guidelines for OSCM digitalization. There is no I4.0 MM with an assessment tool that addresses the imprecision brought by human judgment and the uncertainty and ambiguity inherent to OSCM evaluation. Here we develop a fuzzy logic-based I4.0 MM for OSCM, through a transparent and rigorous procedure, built on a multi-method approach comprising a literature review, interviews, focus groups and case study, from model design to model evaluation. To provide a more realistic evaluation, fuzzy logic and Monte Carlo simulation are incorporated into an I4.0 self-assessment readiness-tool, which is connected with the model architecture. The proposed model has been validated through a real application in a multinational manufacturing organization. The results indicate that the approach provides a robust and practical diagnostic tool, based on a set of OSCM indicators to measure digital readiness of manufacturing industries. It supports the transition towards I4.0 in OSCM domain, by holistically analyzing gaps and prescribing actions that can be taken to increase their OSCM4.0 maturity level.
•Roadmap to Industry 4.0 is still unclear to industry and the research/academic community.•Maturity models can help organizations to track progress and guide new strategies towards I4.0.•A fuzzy rule-based maturity model, combined with a Monte Carlo simulation, is introduced.•The model evaluates how organizations integrate digital technologies in their operations.•The model is applied in the Brazilian branch of a multinational manufacturing company.
PurposeThe evolution of technology from the most recent industrial age to the technology era better known as Industry 4.0 resulted in greater demand for horizontal, vertical and end-to-end digital ...integration. Prior studies show that Industry 4.0 adoption majorly influences the sustainability aspects in a supply chain network. The purpose of this paper is to identify the Industry 4.0 enablers of supply chain sustainability and further attempt to propose a research framework to bridge the theoretical gaps.Design/methodology/approachIn this research study, the authors have used a systematic literature review methodology in the field of Industry 4.0 and sustainable supply chain management. The list of papers was downloaded from Scopus (www.scopus.com) database. Through strict screening, only journal papers were selected for conducting the review of the literature.FindingsThe review brings out some interesting findings which will be helpful for the research community. There have been limited research in the area of managing supply chain network sustainability through Industry 4.0 technologies. The authors found only 10 papers out of a total of 53 papers which emphasize on smart manufacturing, smart production system, smart warehouse management system, smart logistics and sustainability. Most of the previous research studies have ignored the social aspects of supply chain sustainability. Finally, the authors identified 13 key enablers of Industry 4.0 playing an important role in driving supply chain sustainability.Practical implicationsThe strategies for Industry 4.0 should be refined and detailed to develop economic and social systems that can act flexibly to sudden changes in the system. Top management must be convinced for prioritizing investment support and creating a system that can facilitate technology convergence. Managers must also act on new models of employment and frame plans to continuously improve the system. In addition, managers must focus on establishing a collaborative platform to facilitate high-tech research and developments. Finally, it is essential to develop a performance management system for monitoring all actions in the supply chain network.Originality/valueIntegrating two independent subjects is the uniqueness of the current study. Here, Industry 4.0 and supply chain sustainability have been integrated to build the research framework, and in such a process, the authors have extended the existing knowledge base.
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.
•Identification of 14 barriers to adopt i4.0 technologies in manufacturing industry.•Barriers categorization using Technology-Organization-Environment framework.•Establishing the interrelationships ...and hierarchy between barriers.•Proposing implications for managers and policy makers to overcome the barriers.
While Industry 4.0 promises large technological improvements, firms face multiple challenges in its adoption. Current literature has made significant efforts to identify the barriers which are common to most companies but fails to identify their interrelationships and their implications for practitioners. We use interpretive structural modelling (ISM) methodology to identify these barriers and their interrelationships, combined with matrix impact of cross multiplication applied to classification (MICMAC) analysis to identify the root barriers, in the context of the Portuguese manufacturing industry. We categorize these barriers using the Technology-Organization-Environment framework. We conclude that barriers related to standardization and lack of off-the-shelf solutions are considered root barriers. Our results differ from other studies that regard barriers related to legal and contractual uncertainty with the highest driving power and lowest dependence power. Also, we find that organizational barriers have the highest dependency and lowest driving power, contradicting studies on the topic. We provide recommendations for managers and policymakers in three areas: Standardization Dissemination, Infrastructure Development, and Digital Strategy.
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.
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•Industry 4.0 practices most suitable to aeronautical maintenance are selected.•Advantages and open issues are widely discussed and case studies are illustrated.•Augmented Reality can ...support maintenance tasks.•Additive Manufacturing can be useful to produce spare parts.•A strong effort is necessary to develop an appropriate aeronautical regulatory framework.
The paper broadly addresses how Industry 4.0 program drivers will impact maintenance in aviation. Specifically, Industry 4.0 practices most suitable to aeronautical maintenance are selected, and a detailed exposure is provided. Advantages and open issues are widely discussed and case studies dealing with realistic scenarios are illustrated to support what has been proposed by authors. The attention has been oriented towards Augmented Reality and Additive Manufacturing technologies, which can support maintenance tasks and spare parts production, respectively. The intention is to demonstrate that Augmented Reality and Additive Manufacturing are viable tools in aviation maintenance, and while a strong effort is necessary to develop an appropriate regulatory framework, mandatory before the wide-spread introduction of these technologies in the aerospace systems maintenance process, there has been a great interest and pull from the industry sector.
Due to industrialization and economic development, urban expansion in St. Petersburg (Russia) has swelled its solid waste generation. The current waste management system does not meet the city's ...needs. Fundamental changes are required to accelerate its sustainability transition to achieve the 2030 UN's Sustainable Development Goals. This article critically evaluates and analyzes the existing situation of waste management in St. Petersburg and its role in promoting digitalization-based circular economy. Challenges in waste recycling that prevent it from reforming its waste management are identified. Lessons drawn from Taiwan's prowess in resources recovery are presented to inspire a transformation of its waste sector towards a digitalization. The implications of digitalization on the city's waste recycling industry are elaborated. Before applying digitalization, St. Petersburg encountered challenges such as a lack of proper infrastructure in waste management, low public participation and environmental awareness, technological gaps, and insufficient coordination among its institutions. As one of the world's leaders in waste recycling (65%), Taiwan was selected as a role model for St. Petersburg in improving its waste management. The Island's daily per capita rate decreased by 96% to 0.4 kg in 2015. Taiwan also minimized the amount of waste disposal into landfills to less than 2%, while 80% of its industrial waste was recycled. About 33% of annual waste generation in Taiwan was reduced through “Pay-as-you-throw” policy. The average volume of municipal solid waste generation per capita decreased by 20% to 0.91 kg/day. This suggests that moving towards digitalization has minimized the extraction of raw materials through resource recovery. As implications of digitalization in waste management, the consumption of virgin materials could be lowered by 25% in 2030, while a half of greenhouse gas emissions could be avoided. The World Economic Forum estimated that the circular economy could potentially add USD 700 billion in material savings to global economy.
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•Taiwan attained the second highest recycling target of 65% after Germany (67%).•Taiwan's ‘Keep Trash off the Ground Policy’ is transferable to St. Petersburg.•Pandemic hastens the transformation of recycling industry through digitalization.•Achieving carbon neutrality requires both economic and technological development.•Consumption of virgin materials could be lowered by 25% in 2030 by adopting CE.
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