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.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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.
Facing the challenges of globalisation and unpredictable shocks, manufacturers seek novel methods to maintain the sustainability of their supply chains. Adopting Industry 4.0 (I4.0) technologies ...facilitates sustainable supply chain management (SSCM) with the precise decision-making of supply chain activities and the realisation of circular development. However, according to the bibliometric analysis and systematic literature review of articles related to “SSCM”, few frameworks with I4.0 technologies are found to empower SSCM under circular economy (CE) logic. Thus, this article proposes a conceptual framework of I4.0 technologies-embedded SSCM, which takes advantage of five kinds of emerging digital technologies, including cloud services, artificial intelligence (AI), big data analytics (BDA), blockchain technology (BT), and internet of things (IoT). The CAB2IN framework is based on the technologies mentioned above alongside the design, manufacturing, delivering, using, and end-of-life stages of products and services to meet the requirements of reducing material usage, remanufacturing, reusing, and recycling. This paper's contribution lies in indicating the trends of SSCM in the era of Industry 4.0 and proposing CAB2IN to creatively establish the virtual side of circular SSCM, which leverages the data generated in each stage to assist sustainable decision-making. CAB2IN illuminates several research directions for future studies of digitalised SSCM under the perspective of CE. The case of Company S illustrates the application of CAB2IN in the healthcare supply chain. This paper also summarises insightful directions of digitalised SSCM under the proposed circular framework.
•Emerging technologies in SSCM are identified with bibliometric analysis.•A framework integrating information and digital technologies in SSCM is developed.•The framework guides the lifecycle management of SSCM with digital technologies.•A case study of pharmaceutical SSCM is used to validate the proposed framework.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
There is an increasing interest in understanding the interdependencies between conventional lean and agile implementations and Industry 4.0 technology adoptions. Our knowledge of how they interact ...and enable Industry 4.0 implementations in learning organisations is still immature. Informed by the Strategic Momentum Theory and the contextual ambidexterity framework, this paper empirically investigates the effects of lean and agile implementations on Industry 4.0 technology adoptions with exploratory and exploitative learning as mediators. Using the data collected from an online survey of 166 Australian firms and analysed using the PLS-SEM method, we found that only lean practices have significant and positive direct effects on Industry 4.0 implementations, and exploitative learning partially mediates the relationship. We also found that agility does not have direct effects on Industry 4.0 implementations, and exploitative learning fully mediates their relationship. However, the mediating role of exploratory learning is not empirically confirmed. This study confirms several recent exploratory research studies that found evidence for the significant role lean implementations play in Industry 4.0 technology adoption. Agile practices need to first translate into exploitative learning. The findings inform practitioners that firms with investments in lean, agility and exploitative learning capability development will have advantages in technology implementations.
•Conventional agile and lean practices interact with Industry 4.0 (I4.0) technologies.•Lean practices have significant and positive direct effects on I4.0 implementations.•Exploitative learning partially mediates the relationship between lean and I4.0.•Exploitative learning fully mediates the relationship between agility and I4.0.•The mediating role of exploratory learning is not empirically confirmed.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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