The integration of Industry 4.0 (I4.0) technologies and Lean Manufacturing (LM) principles has emerged as a significant strategy for industries seeking to improve precision, customization, ...competitiveness, and environmental sustainability. However, existing literature lacks a comprehensive model that incorporates these approaches and guides companies towards a green paradigm (GP) transition. This study aims to address the gap in literature by developing a comprehensive model that integrates I4.0 and LM practices and examines how this integration can enhance companies' ability to achieve a green transition. A Systematic Literature Review was conducted to identify 27 critical variables related to I4.0, LM, and GP. The ISM-MICMAC method was applied for analysis. Validation of the model was performed through interview with a sample company. The developed model provides a comprehensive framework for integrating I4.0 and LM practices to facilitate companies' transition towards environmental sustainability. The analysis revealed critical variables and their interactions, highlighting areas of focus for organizations aiming to adopt a green paradigm. The integration of I4.0 and LM practices offers significant potential for enhancing companies' ability to achieve environmental sustainability goals. By identifying critical variables and their relationships, this study provides valuable insights for organizations seeking to navigate the transition towards a green paradigm. This research contributes to the existing literature by presenting a novel model that bridges the gap between I4.0, LM, and environmental sustainability. The findings offer practical guidance for industries aiming to leverage technology and operational strategies to address sustainability challenges.
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.
3D printing, unlike other manufacturing processes, being an additive process has emerged as a viable technology for the production of engineering components. The aspects associated with 3D printing ...such as less material wastage, ease of manufacturing, less human involvement, very less post processing and energy efficiency makes the process sustainable for industrial use. The paper discusses numerous 3D printing processes, their advantages and disadvantages. A comprehensive description of different materials compatible for each type of 3D printing process is presented. The paper also presents the various application areas of each type of process. A dedicated section on industry 4.0 has also been included. The literature studied revealed that although the field of 3D printing has evolved to a great extent, there are still issues that need to be addressed such as material incompatibility and the cost of the materials. Future research could be undertaken to develop and modify the processes to suit a broad range of materials. To broaden the range of applications for 3D printed parts, more focus needs to be laid on developing cost effective printer technologies and materials compatible for these printers.
Naše pracovisko, Ustav procesného inžinierstva SjF STU, patrí v patentovaní k veľmi aktívnym pracoviskám, a preto služby NCTT SR využívame napr. pri patentovej rešerši, spracovávaní patentových ...prihlášok, ohodnocovaní komerčného potenciálu priemyselného vlastníctva a ďalších poskytovaných podporných aktivitách. S realizovanými činnosťami a službami Centra transferu technológií pri CVTI SR som detailne oboznámený a v spolupráci s Kanceláriou spolupráce s praxou STU pod vedením JUDr. Prestížne ocenenia sú obyčajne udeľované jednotlivcom, ale vždy za tým treba vidieť prácu dobre fungujúceho kolektívu, na čo som zvlášť hrdý. Vyhlasovatelia podujatia „Vedec roka 2020" (CVTI SR, SAV, ZSVTS a MŠ SR) mi udelili ocenenie v kategórii „Technológ roka" za mimoriadny prínos v oblasti vývoja nových netradičných a unikátnych technológií spracovania suchých aj vlhkých práškových a zrnitých látok, v oblasti pokrokových materiálov pre nasadenie v systémoch Industry 4.0 a za výchovu mladých technológov. V rámci týchto aktivít mi boli udelené viaceré ocenenia, ako už spomínaná Cena za transfer technológií na Slovensku 2016 (CVTI SR), Mladý výskumník roka 2018 (SjF STU), bol som finalistom kategórie Výnimočný vysokoškolský pedagóg v rámci ESET Science Award 2019 (Nadácia ESET), potom Vedec roka STU 2020 (STU) a teraz Inovatívny čin roka 2020 (MHSR) v kategórii Technologická inovácia.
This research aims to explore how digital technology can enhance productivity in manufacturing firms through the application of lean methodology and Industry 4.0. While previous studies have been ...primarily theoretical, digital technologies have the potential to improve efficiency in lean organizations. The research develops a practical and effective digitalization framework for manufacturing firms to improve operational efficiency. The proposed framework recommends a step-by-step approach to implementing digital technologies and fostering a culture of digital innovation. The framework will be tested in a real-world manufacturing setting to provide industry practitioners with empirical evidence to support and guide its implementation. The study first focuses on the literature review of Lean Manufacturing, Industry 4.0, and their connection. The methodology adopted for the research is then discussed, followed by the case study. The study concludes that a culture of digital innovation is critical for digitalization success. The study recommends that companies adopt the proposed framework to increase operational efficiency, reduce waste, and gain a competitive advantage. This study provides a practical framework for manufacturing firms to implement digital technologies and improve operational efficiency. The proposed framework is designed to be adaptable and can be customized to meet specific organizational needs. The study highlights the importance of a digital innovation culture and recommends a step-by-step approach to implementing digital technologies in manufacturing firms.
There is the increased application of new technologies in manufacturing, service, and communications. Industry 4.0 is the new fourth industrial revolution, which supports organisational efficiency. ...Robotics is an important technology of Industry 4.0, which provides extensive capabilities in the field of manufacturing. This technology has enhanced automation systems and does repetitive jobs precisely and at a lower cost. Robotics is progressively leading to the manufacturing of quality products while maintaining the value of existing collaborators schemes. The primary outcome of Industry 4.0 is intelligent factories developed with the aid of advanced robotics, massive data, cloud computing, solid safety, intelligent sensors, the Internet of things, and other advanced technological developments to be highly powerful, safe, and cost-effective. Thus, businesses will refine their manufacturing for mass adaptation by improving the workplace's safety and reliability on actual work and saving costs. This paper discusses the significant potential of Robotics in the field of manufacturing and allied areas. The paper discusses eighteen major applications of Robotics for Industry 4.0. Robots are ideal for collecting mysterious manufacturing data as they operate closer to the component than most other factory machines. This technology is helpful to perform a complex hazardous job, automation, sustain high temperature, working entire time and for a long duration in assembly lines. Many robots operating in intelligent factories use artificial intelligence to perform high-level tasks. Now they can also decide and learn from experience in various ongoing situations.
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This research aims at exploring barriers of adopting Industry 4.0 in manufacturing supply chains. Data were collected based on a review of extant literature on barriers Industry 4.0 adoption, ...individual interviews with a panel consisted of academic and industry experts. Following numerous previous studies, interpretive structural modeling (ISM) and matrix multiplication applied to classification (MICMAC) analysis were conducted to order 10 barriers based on their importance and impacts. The results excluded one barrier “cyber security challenges”, categorized another one as a dependent barrier “lack of digital strategy”, and eight barriers as linkage barriers “lack of infrastructure”, “personnel resistance to adopt new technologies”, “high investment requirements”, “data management and quality challenges”, “uncertainty of economic benefits”, “low maturity level of technology”, “lack of adequate skills”, and “job disruptions”. Henceforward, it was concluded that mitigating these eight barriers is very critical to ensure a successful adoption of Industry 4.0 technologies in supply chains. Further studies are required to categorize these eight barriers based on their importance and relationships.
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