•Potential adoption barriers of Industry 4.0 are identified from the literature.•Industry experts validated the identified barriers and developed contextual relationships between them.•Relationships ...established among the barriers using ISM and Fuzzy MICMAC analysis.•Driving and dependence power of barriers in Indian manufacturing industry context is developed.•The results reveal the direct and indirect effects of identified barriers in the Industry 4.0 adoption.
The aim of this paper is the analysis of potential barriers which would hinder the manufacturing organizations from embracing Industry 4.0. This paper establishes relationships among the barriers using interpretive structural modeling (ISM) and finds out driving and dependence power of barriers, using fuzzy MICMAC (Matriced’ Impacts Croise´s Multiplication Applique´e a´ un Classement) analysis. A group of experts from industry and academia was consulted and ISM methodology was used to develop the contextual relationship among the identified barriers to Industry 4.0 adoption. The results of ISM were used as input to fuzzy MICMAC analysis for determining the driving and dependence power of the Industry 4.0 adoption barriers. The results are helpful in identifying and classifying the significant barriers, revealing the direct and indirect effects of each identified barrier on the Industry 4.0 adoption. The findings will help the practitioners and the policymakers for a detailed understanding of the Industry 4.0 adoption process and the barriers hindering its implementation. They may utilize the framework and the driving-dependence power of the barriers to understanding the inter-relationship between the barriers to building a valid and operative digital manufacturing platform. The study is first of its kind to identify industry 4.0 adoption barriers and develop hierarchical relationships between them using ISM and fuzzy MICMAC methodology in the Indian manufacturing context.
•Trends in Industry 4.0 (I4.0) are influencing the development of manufacturing execution systems.•I4.0-related requirements of MES functionalities are determined.•MESs should interconnect all ...components of cyber-physical systems.•Formal models and ontologies will play essential role in I4.0 systems.•The overview can serve as a guide for engineers as well as for researchers.
This work presents how recent trends in Industry 4.0 (I4.0) solutions are influencing the development of manufacturing execution systems (MESs) and analyzes what kinds of trends will determine the development of the next generation of these technologies. This systematic and thematic review provides a detailed analysis of I4.0-related requirements in terms of MES functionalities and an overview of MES development methods and standards because these three aspects are essential in developing MESs. The analysis highlights that MESs should interconnect all components of cyber-physical systems in a seamless, secure, and trustworthy manner to enable high-level automated smart solutions and that semantic metadata can provide contextual information to support interoperability and modular development. The observed trends show that formal models and ontologies will play an even more essential role in I4.0 systems as interoperability becomes more of a focus and that the new generation of linkable data sources should be based on semantically enriched information. The presented overview can serve as a guide for engineers interested in the development of MESs as well as for researchers interested in finding worthwhile areas of research.
Industry 4.0 technologies provide critical perspectives for future innovation and business growth. Technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big data, Machine Learning ...(ML), and other advanced upcoming technologies are being used to implement Industry 4.0. This paper explores how Industry 4.0 technologies help create a sustainable environment in manufacturing and other industries. Industry 4.0 technologies and the crucial interrelationships through advanced technologies should impact the environment positively. In the age of Industry 4.0, manufacturing is tightly interlinked with information and communication systems, making it more scalable, competitive, and knowledgeable. Industry 4.0 provides a range of principles, instructions, and technology for constructing new and existing factories, enabling consumers to choose different models at production rates with scalable robotics, information, and communications technology. This paper aims to study the significant benefits of Industry 4.0 for sustainable manufacturing and identifies tools and elements of Industry 4.0 for developing environmental sustainability. This literature review-based research is undertaken to identify how Industry 4.0 technologies can help to improve environmental sustainability. It also details the capabilities of Industry 4.0 in dealing with environmental aspects. Twenty major applications of Industry 4.0 to create a sustainable environment are identified and discussed. Thus, it gives a better understanding of the production environment, the supply chains, the delivery chains, and market results. Overall, Industry 4.0 technology seems environmentally sustainable while manufacturing goods with better efficiency and reducing resource consumption.
Industry 4.0 (I4.0) and Circular Economy (CE) are undoubtedly two of the most debated topics of the last decades. Progressively, they gained the interest of policymakers, practitioners and scholars ...all over the world. Even if they have been usually described as two independent research fields, there are some examples presenting overlaps between these topics, represented by hybrid categories like Circular I4.0 and Digital CE. Starting from these two perspectives, an innovative framework both highlighting the links between I4.0 and CE and unveiling future research fields has been developed. Basing on one of the two perspectives, results show as it is possible to enhance a set of different relations. Depending on a dedicated area of either CE or I4.0 it is possible to see the prevalence of some I4.0 technology than others. However, the influence of I4.0 technologies on CE is always verified.
A Indústria 4.0 traz consigo um papel importante para os Sistemas de Informação, uma vez que, todos os sistemas inteligentes são interconectados com redes com ou sem fio e passam a tomar suas ...próprias decisões, percebe-se que ataques cibernéticos a essas redes causarão falhas de produção irreparáveis ou danos graves. Para aumentar a segurança da informação, é necessário abordar os riscos cibernéticos e identificar estratégias de segurança. Buscando prevenir possíveis ataques a rede. O objetivo do estudo é mostrar a importância de se abordar a segurança da informação como parte da estratégia organizacional na Indústria 4.0. O método de pesquisa foi uma revisão bibliográfica utilizando como fonte de informações as publicações sobre a temática encontradas em Bases de dados eletrônicas. O estudo concluiu que é nítida a necessidade do uso da estratégia da segurança nas organizações no contexto da Indústria 4.0, por motivos como, maior conectividade a redes cibernéticas, maior transação de dados e informações confidenciais.
In the conditions of market volatility and a shortening of the life cycle of products, modern manufacturers are faced with the need to increase costs, accelerate and localize production processes. ...The answer to these challenges is offered by the fourth industrial revolution, or Industry 4.0 (I4.0). It consists in increasing the speed of bringing products to market through the transformation of the supply chain into highly adaptive integrated networks. The potential effect of I4.0 implementation on competitiveness (in particular, subsidiaries of foreign companies) and the nature of the modernization of global value chains, of which companies are a part, are considered on four specific examples. It is shown that in the I4.0 era, the competitive advantages of a business may depend both on the transformation of individual industries and on changes in relations between partners. These results are consistent with findings in the literature about the uncertainty and complexity of the digital economy in general, and confirm that there are problems with accurately assessing perceived benefits. I4.0 is based on the struggle for leadership, in which competitiveness is increased primarily by improving product quality, and not by reducing costs. At the same time, I4.0 contributes to the emergence of groups of closely interconnected, integrated with each other companies up to the erasure of clear boundaries between them.
EFQM is one of the popular business excellence modelling frameworks and is globally accepted in several countries to motivate organisations to formulate strategies for the continual improvement of ...organisational processes leading to excellence. This paper tracks the historical evolution of the EFQM model and dissects the model to its most fundamental elements for analysis and synthesis. The paper aims at understanding the process of evolution of the EFQM model and identifying the major changes in the new EFQM model (2020). In the second stage, an in-depth analysis of the evolution of the EFQM 2020 vis-a-vis the EFQM 2012 model is presented. Lastly, the relationship between EFQM and Industry 4.0 is presented. The research brought to the fore several interesting findings which include the changes in the criteria and sub-criteria of the model over the time. The research points out that the EFQM model is moving towards a generic model with a focus on the futuristic requirements of the organisations rather than merely a business excellence model and/or just a quality award enablement model. The research has been carried out based on the current understanding and available information.
Industry 4.0 is transforming the manufacturing industry and the economics of value creation. A great deal of positive hype has built up around the sustainable development implications of Industry 4.0 ...technologies during the past few years. Expectations regarding the opportunities that Industry 4.0 offers for sustainable manufacturing are significantly high, but the lack of accurate understanding of the process through which Industry 4.0 technologies enable sustainable manufacturing is a fundamental barrier for businesses pursuing digitalization and sustainable thinking. The present study addresses this knowledge gap by developing a roadmap that explains how Industry 4.0 and the underlying digital technologies can be leveraged to support and facilitate the triple bottom line of sustainable manufacturing. To this purpose, the study conducted a systematic literature review and identified 15 sustainability functions through which Industry 4.0 contributes to sustainable manufacturing. Interpretive structural modeling was further applied to identify the relationships that may exist within the sustainability functions. The resulting sustainable manufacturing roadmap explains how, and in which order, various Industry 4.0 sustainability functions contribute to developing the economic, environmental, and social dimensions of sustainability. The resulting implications are expected to serve manufacturers, industrialists, and academia as a strategic guide for leveraging Industry 4.0 digital transformation to support sustainable development.
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•Identifies functions through which Industry 4.0 enables sustainable manufacturing.•Explains the correct order to develop Industry 4.0 manufacturing sustainability functions at the value chain level.•Explains the enabling role of each function concerning other functions.•Develops a structural model of Industry 4.0-enabled sustainable manufacturing.