Sustainability is a pressing need, as well as an engineering challenge, in the modern world. Developing smart technologies is a critical way to ensure that future manufacturing systems are ...sustainable. Blockchain is a next-generation development of information technology for realizing sustainability in businesses and industries. Much research on blockchain-empowered sustainable manufacturing in Industry 4.0 has been conducted from technical, commercial, organizational, and operational perspectives. This paper surveys how blockchain can overcome potential barriers to achieving sustainability from two perspectives, namely, the manufacturing system perspective and the product lifecycle management perspective. The survey first examines literature on these two perspectives, following which the state of research in blockchain-empowered sustainable manufacturing is presented, which sheds new light on urgent issues as part of the UN's Sustainable Development Goals. We found that blockchain-empowered transformation of a sustainable manufacturing paradigm is still in an early stage of the hype phase, proceeding toward full adoption. The survey ends with a discussion of challenges regarding techniques, social barriers, standards, and regulations with respect to blockchain-empowered manufacturing applications. The paper concludes with a discussion of challenges and social barriers that blockchain technology must overcome to demonstrate its sustainability in industrial and business spheres.
•The transparency characteristics enabled by blockchain shows promising for enhancing the sustainability of manufacturing networks.•Twelve metrics of adopting blockchain in the manufacturing sector have been concluded corresponding to nine blocks of the Business Model Canvas.•An overview of social barriers and the challenges of achieving sustainability goal in blockchain-empowered manufacturing applications have been presented.
Smart manufacturing (SM) confronts several challenges inherently suited to knowledge graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied data surrounding ...the manufacturing context, which demands advanced semantic analysis and inference capabilities. The second main limitation is the contextualization of manufacturing systems and the exploitation of manufacturing domain knowledge, which requires a dynamic and holistic representation of knowledge. The last major obstacle arises from the facilitation of intricate decision-making processes towards correlated manufacturing ecosystems, which benefit from interconnected data structures that KGs excel at organizing. However, the existing survey studies concentrated on distinct facets of SM and offered isolated insights into KG applications while overlooking the interconnections between various KG technologies and their application across multiple domains. What specific role KGs should play in SM towards the aforementioned challenges, how to effectively harness KGs for these challenges, and the essential topics and methodologies required to make KGs functional remain underexplored. To explore the potential of KGs in SM, this study adopts a systematic approach to investigate, evaluate, and analyse current research on KGs, identifying core advancements and their implications for future manufacturing practices. Firstly, cutting-edge developments in the challenge-driven roles of KGs and KG techniques are identified, from knowledge extraction and mining to techniques for KG construction and updates, further extending to KG embedding, fusion, and reasoning—central to driving SM ecosystems. Specifically, the KG technologies for SM are depicted holistically, emphasizing the interplay of diverse KG techniques with a comprehensive framework. Subsequently, this foundation outlines and discusses key application scenarios of KGs from engineering design to predictive maintenance, covering the main representative stages of the manufacturing life cycle. Lastly, this study explores the intricate interplay of the practical challenges and advantages of KGs in manufacturing systems, pointing to emerging research avenues.
•Knowledge graph (KG) and KG techniques tackling smart manufacturing (SM) challenges are identified and reviewed.•Research and applications of KG for different SM domains are reviewed.•The KG techniques from data acquisition to decision making in SM is illustrated.•The challenges and opportunities of KG for SM are highlighted and discussed.
Vincular a Indústria 4.0 com Lean pode promover resultados econômicos, sociais e ambientais em muitos setores industriais. Mas para que isto ocorra, há necessidade de promover a colaboração entre ...empresas e entre pessoas. O pensamento lean engloba: qualidade, cooperação e comunicação, ou seja, está diretamente relacionado às pessoas que atuam no processo produtivo e kata de melhoria promove, através da mudança comportamental, cooperação e o envolvimento das pessoas para atingir os objetivos organizacionais. Assim, o objetivo deste estudo foi desenvolver um estudo teórico a fim de encontrar e quantificar os documentos existentes, denominados trabalhos relacionados ao tema em estudo e que evidenciam as relações entre Indústria 4.0 e lean kata. Para esta revisão foi realizada uma busca na base de dados Scopus a partir dos termos de busca “Industry 4.0”, “lean” e “kata”. Dos principais resultados encontrados destacam-se os 10 documentos. A pesquisa também indicou um campo de pesquisa ainda não explorado, abrindo oportunidades para novos estudos, assim como destaca a importância da integração entre as diversas áreas da organização quanto a implementação de ambos os programas.
Industria 4.0 es un término empleado para hacer referencia a tecnologías modernas que inciden significativamente en el funcionamiento de la industria, tiene una gran repercusión en la logística al ...transformar la forma de gestionar y operar los procesos con métodos de trabajo más optimizados. Por ello, el artículo tiene como objetivo realizar un acercamiento teórico a las tecnologías de la industria 4.0 con aplicación en la logística. Se emplea una metodología de enfoque histórico-lógico con el modelo Kitchenham apoyada en la herramienta Rayyan. Los resultados ponen de manifiesto diversas tecnologías que son posibles de aplicar en los procesos logístico (recepción, almacenaje, despacho y distribución), para lo cual resulta clave estudiar a fondo la condición y las necesidades de la empresa.
At the core of every high-performing warehouse is an efficient order picking (OP) system. To attain such a system, policy choices should be carefully aligned with subjects responsible for the actual ...picking within the established system. Despite recent advancements in automating the picking process due to Industry 4.0, human operators will continue to play a crucial role in the future of warehousing. However, unlike robots, human operators have specific skills, conduct, and perceptions, which are only partly accounted for in current planning models. This review adopts a multimethod approach to identify and analyse how these phenomena are currently integrated into OP planning problems. In addition, we assess the relevance and adequacy of human factors modelling in academic literature with practice-based insights gathered via semi-structured interviews. This leads to five major human factors integration constructs and dedicated recommendations on how to refine them. We then take the analysis one step further and make suggestions on how to integrate these constructs with leading research methodologies in the context of Industry 5.0. The results highlight the prevalent need to increasingly account for psychosocial phenomena and their impact on operational performance. Future research opportunities provide a substantiated foundation to assist in human-centric work design.
The impediments to Industry 4.0 adoption in sustainable production function as a roadblock to the digital transformation of manufacturing companies. The study's goal is to look at the intricate of ...Industry 4.0's impediments to the advancement of digital manufacturing for long-term sustainability. Adoption of Industry 4.0 is challenging in the current environment, but the consideration of Industry 4.0 in the sustainability industry is much more difficult. The empirical investigation followed a mixed-methods approach, which included the systematic literature review (SLR) method and Analytical Hierarchy Process (AHP). The thirty sustainability impediments relating to technological, organizational, economic, environmental, social, and institutional factors were identified using the SLR approach, and the AHP method (a multi-criteria decision-making method) was used to rank or prioritize the synchronized impediments. Based on the results from all six categories of impediments, the study found the organizational (compound priority weight 0.413) impediments of Industry 4.0 are the most prominent impediment to sustainability measures for digital manufacturing. It was followed by the Environmental, Technological, Economical, Societal and institutional impediments, with compound priority weights of 0.256, 0.152, 0.099, 0.054 and 0.026 respectively that represent the sequence of these impediments. Overall, the study reveals a 360-degree overview of the organization in order to identify Industry 4.0 factors for digital transformation. By examining the sustainability factors and challenges of Industry 4.0, the study assists company managers in revolutionizing their businesses into digitally-enabled ones. Furthermore, this study also helps managers and practitioners to prioritize the various sustainability factors that are most relevant for their organization when they try to transform digitally their business.
•Identifying and prioritizing impediments of I4.0 to sustainable digital manufacturing.•It indicates a 360-degree overview of the organization to identify I4.0 factors for digital transformation.•The empirical investigation followed a mixed methods approach.•Based on SLR, total of thirty impediments were identified.•AHP method has been used to prioritize the sustainability impediments categories and subcategories.
The interest towards Industry 4.0 is growing since its introduction. The available literature highlights the impacts of Industry 4.0 on the whole supply chain and stress that companies must rethink ...the way they manage their supply chain. Even if the benefits of Industry 4.0 are generally recognized, the latest pandemic Covid-19 has caused disturbances in supply chains. The objective of this paper is to investigate the topic of Industry 4.0 in the pandemic context, highlighting, by means of a case study, its benefits on the supply chain notwithstanding the pandemic. The paper also provides suggestions for future research related to the fields.
•A deep literature review on DT applications in manufacturing is performed.•Rarely a DT environment offers a large set of services to the real system.•Almost never a DT share the elaborated analysis ...to the real counterpart.•A DT application is proposed in a Simulink environment to overcome these gaps.•The illustrated DT poses the basis for further improvements.
In the Industry 4.0 era, the Digital Twin (DT), virtual copies of the system that are able to interact with the physical counterparts in a bi-directional way, seem to be promising enablers to replicate production systems in real time and analyse them. A DT should be capable to guarantee well-defined services to support various activities such as monitoring, maintenance, management, optimization and safety. Through an analysis of the current picture of manufacturing and a literature review about the already existing DT environment, this paper identifies what is still missing in the implemented DT to be compliant to their description in literature. Particular focuses of this paper are the degree of integration of the proposed DT with the control of the physical system, in particular with the Manufacturing Execution Systems (MES) when the production system is based on the Automation Pyramid, and the services offered from these environments, comparing them to the reference ones.
This paper proposes also a practical implementation of a DT in a MES equipped assembly laboratory line of the School of Management of the Politecnico di Milano. The application has been created to pose the basis to overcome the missing implementation aspects found in literature. In such a way, the developed DT paves the way for future research to close the loop between the MES and the DT taking into consideration the number of services that a DT could offer in a single environment.
Recent advances in manufacturing industry has paved way for a systematical deployment of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and ...synchronized between the physical factory floor and the cyber computational space. Moreover, by utilizing advanced information analytics, networked machines will be able to perform more efficiently, collaboratively and resiliently. Such trend is transforming manufacturing industry to the next generation, namely Industry 4.0. At this early development phase, there is an urgent need for a clear definition of CPS. In this paper, a unified 5-level architecture is proposed as a guideline for implementation of CPS.
Quality of education 4.0 is aimed at producing competent and quality human resources in carrying out activities in the industrial world later ( Pohan , 2019). In the current implementation of ...education in capturing information on the resulting human resources, it is required to obtain information on a very broad scale and human resources are also required to be able to understand various matters, one of which is understanding related to English. In this study, the researcher used a qualitative descriptive method to describe the HOTS concept which would be implemented in English learning activities at SDN 1 Timpag . Qualitative research generally describes the dominant data using words rather than describing phenomena through a numeric number. Based on the results of the research that has been done, some conclusions that can be drawn in this study are that the HOTS indicator learning method is developed in its entirety, there are 6 indicators including Creating, Evaluating, Analyzing, Applying, Remembering and Understanding . At SDN 1 Timpag as a whole there are several implementation indicator ideas that can be improved in the implementation of HOTS in English materials including story telling planning, introduction to animal objects and body anatomy and simple greetings and the use of grammar.
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