Relevant bibliographies by topics / Smart Manufacturing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Smart Manufacturing'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Smart Manufacturing"

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Kusiak, Andrew. "Smart manufacturing." International Journal of Production Research 56, no. 1-2 (2017): 508–17. http://dx.doi.org/10.1080/00207543.2017.1351644.

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Davis, Jim, Thomas Edgar, Robert Graybill, et al. "Smart Manufacturing." Annual Review of Chemical and Biomolecular Engineering 6, no. 1 (2015): 141–60. http://dx.doi.org/10.1146/annurev-chembioeng-061114-123255.

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Ramakrishna, Seeram, Tham Chen Khong, and Teo Kie Leong. "Smart Manufacturing." Procedia Manufacturing 12 (2017): 128–31. http://dx.doi.org/10.1016/j.promfg.2017.08.017.

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Sufian, Amr T., Badr M. Abdullah, and Oliver J. Miller. "Smart Manufacturing Application in Precision Manufacturing." Applied Sciences 15, no. 2 (2025): 915. https://doi.org/10.3390/app15020915.

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Industry 4.0 presents an opportunity to gain a competitive advantage through productivity, flexibility, and speed. It also empowers the manufacturing sector to drive the sustainability revolution to achieve net zero carbon by reducing emissions in operations. In this paper, the aim is to demonstrate a practical implementation of a smart manufacturing application using a systematic approach based on conceptual six-gear smart factory roadmap with connectivity, integration and analytics stages to build a smart production management ecosystem using off-the-shelf technologies applied in precision m
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Calì, Michele. "Smart Manufacturing Technology." Applied Sciences 11, no. 17 (2021): 8202. http://dx.doi.org/10.3390/app11178202.

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This Special Issue of Applied Sciences provides a collection of original papers on smart manufacturing technology with the aim of: examining emerging aspects of digitalization in the industrial and biomedical fields, as well as in business management and sustainability; proposing and developing a new approach useful for companies, factories, and organizations to achieve greater innovation and productivity—as well as sustainability—by applying smart manufacturing technologies; and exploring new ideas and encouraging research directions so as to obtain autonomous and semiautonomous processes, hi
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Menascé, Daniel A., Mohan Krishnamoorthy, and Alexander Brodsky. "Autonomic smart manufacturing." Journal of Decision Systems 24, no. 2 (2015): 206–24. http://dx.doi.org/10.1080/12460125.2015.1046714.

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Botcha, Bhaskar, Ashif S. Iquebal, and Satish T. S. Bukkapatnam. "Smart manufacturing multiplex." Manufacturing Letters 25 (August 2020): 102–6. http://dx.doi.org/10.1016/j.mfglet.2020.08.004.

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Brown, Alan S. "Manufacturing Gets Smart." Mechanical Engineering 138, no. 09 (2016): 34–39. http://dx.doi.org/10.1115/1.2016-sep-1.

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This article explores impact and advantages of information technology on manufacturing industry. Information technology on the factory floor promises a revolution in productivity. The industrial hype machine is among the favorites because of its full-on mashup of manufacturing with modern information technologies. There is use of intelligent software and machines to interact with one another (and with people) autonomously, both in the factory and through the cloud. According to the experts, this new combination of brains and muscle will revolutionize manufacturing in ways that rival the introd
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Shahbazi, Zeinab, and Yung-Cheol Byun. "Improving Transactional Data System Based on an Edge Computing–Blockchain–Machine Learning Integrated Framework." Processes 9, no. 1 (2021): 92. http://dx.doi.org/10.3390/pr9010092.

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The modern industry, production, and manufacturing core is developing based on smart manufacturing (SM) systems and digitalization. Smart manufacturing’s practical and meaningful design follows data, information, and operational technology through the blockchain, edge computing, and machine learning to develop and facilitate the smart manufacturing system. This process’s proposed smart manufacturing system considers the integration of blockchain, edge computing, and machine learning approaches. Edge computing makes the computational workload balanced and similarly provides a timely response fo
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Haricha, Karim, Azeddine Khiat, Yassine Issaoui, Ayoub Bahnasse, and Hassan Ouajji. "Towards smart manufacturing: Implementation and benefits." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 02 (2021): 25–31. http://dx.doi.org/10.5383/juspn.15.02.004.

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Production activities is generating a large amount of data in different types (i.e., text, images), that is not well exploited. This data can be translated easily to knowledge that can help to predict all the risks that can impact the business, solve problems, promote efficiency of the manufacture to the maximum, make the production more flexible and improving the quality of making smart decisions, however, implementing the Smart Manufacturing(SM) concept provides this opportunity supported by the new generation of the technologies. Internet Of Things (IoT) for more connectivity and getting da
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Dissertations / Theses on the topic "Smart Manufacturing"

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Tell, Eric, and Alexander Ökvist. "SMART MANUFACTURING AND METROLOGY : How can metrology enable smart manufacturing?" Thesis, KTH, Industriell produktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-244837.

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To create the possibilities needed for more precise simulations and calculations regarding manufacturing changes in the equipment and new technology has to be implemented. This work investigates possible solutions for the gathering of information in manufacturing companies. To get a wider understanding of the current situation in manufacturing we have also researched some possible solutions and applications that can be applied in manufacturing. The work consists of a literature study regarding the possible solutions and technologies of smart manufacturing complemented by a survey and a follow-
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Nilsson, Felix. "Image analysis for smart manufacturing." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39856.

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The world of industrial manufacturing has changed a lot during the past decades. It has gone from a labour-intensive process of manual control of machines to a fully connected and automated process. The next big leap in industrial manufacturing is known as industry 4.0 or smart manufacturing. With industry 4.0 comes increased integration between IT systems and the factory floor. This change has proven challenging to implement into existing factories many with the intended lifespan of several decades. One of the single most important parameters to measure is the operating hours of each machine.
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PERRUCCI, FRANCESCO. "High Performance & Smart Manufacturing." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2712640.

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Additive Manufacturing can be considered as one of the key factors for sustainable economic growth, increasing competitiveness and innovative technology with the potential to transform global manufacturing industry, to influence the environmental impact and to change the European economies. In recent years, 3D printing has grown rapidly and has shown great potential in various application fields: from bioengineering, to microfluidics and electronics. There is a growing interest for 3D printing focused on the production of functional structures. The possibility to obtain functional elements by
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SHARMA, BHARAT, and PRAVEEN NATARAJAN. "Simplifying smart manufacturing concepts : Commercialization of smart manufacturing concepts to help small and medium-sized enterprises." Thesis, KTH, Maskinkonstruktion (Avd.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236488.

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Smart manufacturing is a concept that has taken over the manufacturing sector. The definition of smart manufacturing or the German concept Industry 4.0 has not been clearly stated and the transition from Industry 3.0 to 4.0 is still debated. Large companies have started investing a lot of money to research on concepts like Industrial Internet of Things (IIoT), advanced data analytics and cloud computing, that compliment smart manufacturing to fit their manufacturing setup and hence the solutions are not standardized. They have still managed to improve their production systems to make it more f
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ORLANDI, ILENIA. "Analytics and Intelligence for Smart Manufacturing." Doctoral thesis, Università degli studi di Genova, 2018. http://hdl.handle.net/11567/929353.

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Digital transformation is one of the main aspects emerged by the current 4.0 revolution. It embraces the integration between the digital and physical environment,including the application of modelling and simulation techniques, visualization, and data analytics in order to manage the overall product life cycle.
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Li, Yifu. "Data Filtering and Modeling for Smart Manufacturing Network." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99713.

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A smart manufacturing network connects machines via sensing, communication, and actuation networks. The data generated from the networks are used in data-driven modeling and decision-making to improve quality, productivity, and flexibility while reducing the cost. This dissertation focuses on improving the data-driven modeling of the quality-process relationship in smart manufacturing networks. The quality-process variable relationships are important to understand for guiding the quality improvement by optimizing the process variables. However, several challenges emerge. First, the big data se
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Mirza, Helen, and Erika Wahlstén. "Capturing the Value of 5G in Smart Manufacturing." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300170.

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Suppliers of the next generation mobile network, 5G, promises increased performance which can ensure smart manufacturing. Smart manufacturing entails systems of wireless and connected sensors, robots and other devices that together are optimizing the manufacturing process with data. At the same time, 5G has become one of the major technological trends in manufacturing. Globally, efforts are being made to optimize assembly lines through smart manufacturing, but there is no evidence of 5G's promised performance in practice. This study addresses how an industrial company that offers smart tools s
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Rodriguez, Verjan Gloria Luz. "SMART SAMPLING FOR RISK REDUCTION IN SEMICONDUCTOR MANUFACTURING." Thesis, Saint-Etienne, EMSE, 2014. http://www.theses.fr/2014EMSE0747/document.

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Dans les processus de fabrication de semi-conducteurs, différents types des contrôles existent pour maîtriser les procédés et garantir la qualité du produit final. Ces travaux de thèse s’intéressent aux contrôles de défectivité qui visent à maîtriser le risque sur les équipements de production. L'indicateur utilisé est le nombre de produits traités par un équipement depuis la date du dernier produit contrôlé. On s’intéresse à la maîtrise et la réduction du risque sur les équipements de production. Pour cela, différentes stratégies de sélection des lots existent et peuvent être classifiées selo
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Vestin, Alexander. "Smart manufacturing for the wooden single-family house industry." Licentiate thesis, Tekniska Högskolan, Jönköping University, JTH, Industriell produktutveckling, produktion och design, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48249.

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To meet the demand of future building requirements, and to improve productivity and competitiveness, there is a need to modernize and revise the current practices in the wooden single-family house industry. In several other sectors, intensive work is being done to adapt to the anticipated fourth industrial revolution. The manufacturing industry has already begun its transformation with concepts such as smart manufacturing and Industry 4.0. So far, smart manufacturing has not been discussed to any significant extent for the wooden single-family house industry, even though it might be a way for
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Diaz, Castañeda Jenny Lorena. "Advanced energy management/control strategies for smart manufacturing systems." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2020. http://hdl.handle.net/10803/672058.

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This thesis is devoted to the study of the optimisation-based control techniques for the design of control strategies that contribute to improve the energy efficiency of smart manufacturing systems. Currently, manufacturing industry is suffering a transformation towards smart, flexible, and energy-efficient manufacturing systems. This transformation requires modularised and reconfigurable manufacturing systems to respond to changes in productions programs and to the time-varying pieces demand while keeping an energy-efficient operation. Thus, suitable control systems should be designed to sati
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Books on the topic "Smart Manufacturing"

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Quazi, Hebab A., and Scott M. Shemwell. Smart Manufacturing. CRC Press, 2023. http://dx.doi.org/10.1201/9781003156970.

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Neto, Pedro, and António Paulo Moreira, eds. Robotics in Smart Manufacturing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39223-8.

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Shah, Saumya, Hemant Nautiyal, Gaurav Gugliani, Ashwani Kumar, Tanuj Namboodri, and Yogesh Kumar Singla. Sustainability in Smart Manufacturing. CRC Press, 2024. http://dx.doi.org/10.1201/9781003467496.

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Kumar, Ajay, Hari Singh, Parveen Kumar, and Bandar AlMangour. Handbook of Smart Manufacturing. CRC Press, 2023. http://dx.doi.org/10.1201/9781003333760.

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Kurniawan, Denni, and Fethma M. Nor, eds. Advances in Manufacturing Processes and Smart Manufacturing Systems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-80338-3.

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Kurniawan, Denni, and Fethma M. Nor, eds. Advances in Manufacturing Processes and Smart Manufacturing Systems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-80341-3.

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Jake, Krakauer, and Computer and Automated Systems Association of SME. Publications Development Dept. Marketing Services Dept., eds. Smart manufacturing with artificial intelligence. Computer and Automated Systems Association of SME, Publications Development Dept., Marketing Services Division, 1987.

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Tran, Kim Phuc, ed. Artificial Intelligence for Smart Manufacturing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30510-8.

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Suresh, P., B. Balamurugan, T. Poongodi, and Meenakshi Sharma. Big Data Analytics in Smart Manufacturing. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003202776.

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Kandasamy, Jayakrishna, Kamalakanta Muduli, V. P. Kommula, and Purushottam L. Meena. Smart Manufacturing Technologies for Industry 4.0. CRC Press, 2022. http://dx.doi.org/10.1201/9781003186670.

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Book chapters on the topic "Smart Manufacturing"

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Sinsel, Alexander. "Smart Manufacturing." In Das Internet der Dinge in der Produktion. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-59761-3_1.

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Mishra, Neha, and Atul Garg. "Smart manufacturing." In Aspects of Quality Management in Value Creating in the Industry 5.0 Way. CRC Press, 2024. http://dx.doi.org/10.1201/9781032677040-2.

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Hiremath, Mrutyunjaya S., N. Praveen, Lipsa Subhadarshini, Sujith Kumar Sivanandan, Jayaprada S. Hiremath, and Shantala S. Hiremath. "Smart Manufacturing." In Industry 4.0, Smart Manufacturing, and Industrial Engineering. CRC Press, 2024. http://dx.doi.org/10.1201/9781003473886-14.

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Kusiak, Andrew. "Smart Manufacturing." In Springer Handbook of Automation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-96729-1_45.

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Quazi, Hebab A. "Smart Manufacturing." In Smart Manufacturing. CRC Press, 2023. http://dx.doi.org/10.1201/9781003156970-1.

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Sadiku, Matthew N. O., Abayomi J. Ajayi-Majebi, and Philip O. Adebo. "Smart Manufacturing." In Emerging Technologies in Manufacturing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23156-8_4.

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Ramakrishnan, Ravi, and Loveleen Gaur. "Smart Manufacturing." In Internet of Things. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429486593-5.

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Su, Yu-Shan, and Yuan-Ting Lin. "Smart Manufacturing." In The Routledge Companion to Technology Management. Routledge, 2022. http://dx.doi.org/10.4324/9781003046899-39.

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Clough, Paul D., and Jon Stammers. "Smart Manufacturing." In Smart Connected World. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76387-9_8.

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Paranitharan, K. P., M. Raja Chandra Sekar, T. Ramesh Babu, V. Balaji, S. Thanushkar, and S. Sree Ramnath Sudalai. "Smart manufacturing." In Industry 4.0 for Manufacturing Systems. CRC Press, 2025. https://doi.org/10.1201/9781003470861-3.

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Conference papers on the topic "Smart Manufacturing"

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Papazoglou, Michael P., Bernd J. Krämer, Maria Jose Núñez Ariño, and Amal Elgammal. "Technology Roadmap for Resilient Smart Manufacturing Ecosystems." In 2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC). IEEE, 2024. https://doi.org/10.1109/ice/itmc61926.2024.10794325.

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Menexis, Antonios N., Dimitrios G. Fragkoulis, Fotis N. Koumboulis, and Nikolaos D. Kouvakas. "Supervisory Control for Smart Manufacturing Using FIWARE." In 2024 IEEE 3rd Industrial Electronics Society Annual On-Line Conference (ONCON). IEEE, 2024. https://doi.org/10.1109/oncon62778.2024.10931487.

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SHIVDAS, Rutuja. "Reconfigurable manufacturing system: Key to smart manufacturing." In Mechanical Engineering for Sustainable Development. Materials Research Forum LLC, 2025. https://doi.org/10.21741/9781644903438-22.

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Abstract. Revolution in traditional manufacturing paradigms has become a prerequisite in the 21st centuries manufacturing environment. Globalization currently drives the personalization and customization of products. To be competitive companies have to enhance with the changing market environments by producing low-cost products with high quality that are efficiently responding to market unpredictability. Types of traditional manufacturing systems that are evolved due to changing manufacturing requirements are such as cellular, dedicated and flexible manufacturing systems. Reconfigurable Manufa
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Thomas, Matthew M., Robert A. Glowasky, Bruce E. McIlroy, and Todd A. Story. "Manufacturing of smart structures using fiber placement manufacturing processes." In Smart Structures & Materials '95, edited by C. Robert Crowe and Gary L. Anderson. SPIE, 1995. http://dx.doi.org/10.1117/12.209339.

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Shigeoka, Iain, and Terry N. Faddis. "Distributed open manufacturing environment (DOME): a manufacturing controller integration toolkit." In Intelligent Systems and Smart Manufacturing, edited by Peter E. Orban and George K. Knopf. SPIE, 2001. http://dx.doi.org/10.1117/12.417241.

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Muller, Marcel, Daniel Behnke, Patrick-Benjamin Bok, Christoph Kottke, Kai Lennert Bober, and Volker Jungnickel. "Leverage LiFi in Smart Manufacturing." In 2020 IEEE Globecom Workshops (GC Wkshps). IEEE, 2020. http://dx.doi.org/10.1109/gcwkshps50303.2020.9367446.

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Lee, Seoung Jong, and Hee Jun Cho. "South Korean Smart Manufacturing Strategy." In 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD). IEEE, 2022. http://dx.doi.org/10.1109/bcd54882.2022.9900787.

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Vater, Johannes, Lars Harscheidt, and Alois Knoll. "Smart Manufacturing with Prescriptive Analytics." In 2019 8th International Conference on Industrial Technology and Management (ICITM). IEEE, 2019. http://dx.doi.org/10.1109/icitm.2019.8710673.

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"Collaborative Robots in Smart Manufacturing." In IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2018. http://dx.doi.org/10.1109/iecon.2018.8591479.

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Sahu, Parimal, and David Balfour. "Smart Manufacturing with Augmented Reality." In AeroCON 2022. SAE International, 2022. http://dx.doi.org/10.4271/2022-26-0026.

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Reports on the topic "Smart Manufacturing"

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Kuo, Tsai-Chi, ed. Smart Green Manufacturing. 10.61145/XJEL3803, 2023. http://dx.doi.org/10.61145/xjel3803.

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This P-Insights unveils the exciting possibilities of smart green manufacturing, an innovative integration of Industry 4.0 and circular economy principles aimed at achieving sustainable growth. Dr. Tsai-Chi Kuo explores how Industry 4.0 can enhance Green Productivity with case studies of smart recycling and circular economy practices.
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Bourne, David, S. K. Gupta, Kazu Saitou, Prasanta Bose, and Brandon Widmer. iFAB Smart Manufacturing Adapting Rapidly to Product Variants (SMARTV). Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada564700.

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Chen, Dr James C. From Lean to Smart Manufacturing. Asian Productivity Organization, 2024. http://dx.doi.org/10.61145/xdrc9700.

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Starting with a review of the manufacturing scenario in the mid- to late 1980s when the Toyota Production System (TPS) gained a global foothold, the P-Insights report From Lean to Smart Manufacturing by Dr. James C. Chen details how the TPS has evolved by incorporating elements of smart manufacturing, technological advances, and the insights of employees. Relationships among the TPS, lean, kaizen, digitalization, Industry 4.0, and smart manufacturing are analyzed in different manufacturing scenarios. Concluding with two brief case studies, the report provides examples for manufacturers to cons
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Li, Meng Hua, ed. Smart Manufacturing: National Implementation Framework. Asian Productivity Organization, 2022. http://dx.doi.org/10.61145/getj1519.

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APO has brought out this publication at a time when smart manufacturing is being recognized as a key leverage for raising productivity growth, more so after the pandemic-induced degrowth and slowdown. With some members that are already at an advanced level of smart manufacturing adoption, it is time for other APO member economies to accelerate. From policymaking at the national level to crafting strategies at the enterprise level, this publication offers a multitude of frameworks and implementation plans that the stakeholders can adapt and use.
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Pol'shhikov, Ivan. New Smart Manufacturing Technologies (part 2). Intellectual Archive, 2024. http://dx.doi.org/10.32370/iaj.3110.

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Часть вторая, - преобразование отходов и регенерация отработанных технологических растворов без использования химических реагентов ; Превращение токсичных выхлопных газов в безвредную жидкость. Обеспечение экологической безопасности в технологиях производства в соответствии с действующими стандартами является обязательным условием проведения и продолжения таких производств. Сегодня в связи с резким ужесточением экологических требований такая очистка становится очень затратной , что в конечном счёте резко снижает экономическую эффективность любого производственного процесса. Ситуация заставила
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Polshchikov, Ivan. New Smart Manufacturing Technologies (part 1). Intellectual Archive, 2024. http://dx.doi.org/10.32370/iaj.3103.

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Часть первая , - утилизация отходов и регенерация отработанных технологических растворов ; Рециркуляция травильных растворов и других технологических жидкостей ; Превращение токсичных выхлопных газов в безвредную жидкость
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Gallaher, Michael P., Zachary T. Oliver, Kirsten T. Rieth, and Alan C. O'Connor. Economic Analysis of Technology Infrastructure Needs for Advanced Manufacturing: Smart Manufacturing. National Institute of Standards and Technology, 2016. http://dx.doi.org/10.6028/nist.gcr.16-007.

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Lu, Yan, KC Morris, and Simon Frechette. Current Standards Landscape for Smart Manufacturing Systems. National Institute of Standards and Technology, 2016. http://dx.doi.org/10.6028/nist.ir.8107.

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Krima, Sylvere, Thomas Hedberg, and Allison Barnard-Feeney. Securing the digital threat for smart manufacturing:. National Institute of Standards and Technology, 2019. http://dx.doi.org/10.6028/nist.ams.300-6.

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Jung, Kiwook, Katherine Morris, Kevin W. Lyons, Swee Leong, and Hyunbo Cho. Performance Challenges Identification Method for Smart Manufacturing Systems. National Institute of Standards and Technology, 2016. http://dx.doi.org/10.6028/nist.ir.8108.

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