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Journal articles on the topic 'Smart Manufacturing'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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10

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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11

x, Praveen. "Smart Manufacturing using Control and Optimization." International Journal of Science and Research (IJSR) 13, no. 10 (2024): 75–80. http://dx.doi.org/10.21275/mr24930141041.

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12

Chen, Qingsong. "Literature Review on Smart Manufacturing Upgrades for Manufacturing Enterprises." Journal of Computing and Electronic Information Management 11, no. 1 (2023): 53–58. http://dx.doi.org/10.54097/jceim.v11i1.10474.

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Smart manufacturing is an important way to achieve a strong manufacturing country and a power engine to promote the rapid development of the country's secondary industry economy. As smart manufacturing enters the stage of comprehensive promotion, there is an urgent need to put forward reasonable suggestions for the measurement of capability elements and their evolution. This paper compares the research results about the leap of smart manufacturing hierarchy in recent years, summarizes the issues related to smart manufacturing from the connotation, development paradigm, role mechanism, capabili

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13

Palanisamy, Chockalingam. "Smart Manufacturing with Smart Technologies – A Review." International Journal on Robotics, Automation and Sciences 5, no. 2 (2023): 85–88. http://dx.doi.org/10.33093/ijoras.2023.5.2.10.

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The application of smart technologies like the Internet of Things (IoT), Cloud Computing (CC), Cyber Physical Systems (CPS), Big Data (BD), and Artificial Intelligence (AI) in production is known as "smart manufacturing" (SM). This article examines how SM changed as a result of the advancement of these technologies. This review summarises the development of each technology before explaining how SM made these technologies possible. The final topic is the future improvements for Industry 4.0. With the purpose of elucidating next-generation smart manufacturing, this review will make an effort to

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14

Angga, Debby Frayudha, Mulyono Totok, Agung Hamzah, Adya Riza, Nur Amalina Evy, and Fitriana Ida. "Implementation to Increase Productivity, Efficiency and Flexibility in the Production Process in Manufacturing Companies." Implementation to Increase Productivity, Efficiency and Flexibility in the Production Process in Manufacturing Companies 8, no. 11 (2023): 4. https://doi.org/10.5281/zenodo.10168907.

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The development of the 4.0 industrial revolution is characterized by the rapid development of the Internet of Things (IoT) fast. This also affects the manufacturing sector in the Industrial Revolution 4.0 in manufacturingis a combination of automation technology and network technology associated with information technology.Production flexibility determines the value of effectiveness and efficiency in the industry. Some aspects of industrial development, especially the manufacturing sector, are trending very important. Therefore, it is necessary to do more in-depth research on the impact of the

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15

TAO, Fei. "Service-oriented Smart Manufacturing." Journal of Mechanical Engineering 54, no. 16 (2018): 11. http://dx.doi.org/10.3901/jme.2018.16.011.

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16

Park, Hong-Seok, and Ngoc-Hien Tran. "Autonomy for Smart Manufacturing." Journal of the Korean Society for Precision Engineering 31, no. 4 (2014): 287–95. http://dx.doi.org/10.7736/kspe.2014.31.4.287.

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17

Wang, Lihui, and Albert J. Shih. "Challenges in smart manufacturing." Journal of Manufacturing Systems 40 (July 2016): 1. http://dx.doi.org/10.1016/j.jmsy.2016.05.005.

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18

Tao, Fei, Qinglin Qi, Ang Liu, and Andrew Kusiak. "Data-driven smart manufacturing." Journal of Manufacturing Systems 48 (July 2018): 157–69. http://dx.doi.org/10.1016/j.jmsy.2018.01.006.

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19

Gackstatter, Christian G., and Todd A. Story. "Smart structure manufacturing methods." Matériaux & Techniques 82, no. 11 (1994): 13–17. http://dx.doi.org/10.1051/mattech/199482110013.

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20

ElMaraghy, Hoda. "Smart changeable manufacturing systems." Procedia Manufacturing 28 (2019): 3–9. http://dx.doi.org/10.1016/j.promfg.2018.12.002.

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21

Wang, Baicun, Tao Peng, Xi Vincent Wang, Thorsten Wuest, David Romero, and Lihui Wang. "Human-centric smart manufacturing." Journal of Manufacturing Systems 69 (August 2023): 18–19. http://dx.doi.org/10.1016/j.jmsy.2023.06.001.

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22

Paszkiewicz, Andrzej, Karol Siwiec, Bartosz Pawłowicz, Grzegorz Budzik, Maria Ganzha, and Marcin Paprzycki. "RFID-Enabled Smart Manufacturing." Tehnički glasnik 19, Si1 (2025): 25–30. https://doi.org/10.31803/tg-20250327110159.

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The article presents the possibility of implementing an RFID system to increase transport efficiency in both classic industrial environments and in infrastructure with a high level of automation. The proposed solution takes into account the possibility of installing RFID readers on poles, suspended ceilings, as well as in the floor of the storage and communication space. Thanks to its universal approach and scalability, it allows to increase the level of process automation, especially in SMEs. The implementation of the proposed system in modern factories will make it possible to track in real

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23

Majstorovic, Vidosav, Vladimir Simeunovic, Zarko Miskovic, Radivoje Mitrovic, Dragan Stosic, and Sonja Dimitrijevic. "Smart Manufacturing as a framework for Smart Mining." Procedia CIRP 104 (2021): 188–93. http://dx.doi.org/10.1016/j.procir.2021.11.032.

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24

Vyshnevskyi, Oleksandr. "Smart manufacturing: definition and theory of stimulating development based on local protectionism." Economy of Industry 3, no. 103 (2023): 5–27. http://dx.doi.org/10.15407/econindustry2023.03.005.

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The accelerated development of smart manufacturing is taking place all over the world, but the definition of the theoretical foundations of its stimulation, as well as the unequivocal understanding of "smart manufacturing" concept still has an untapped research potential. Therefore, the purpose of the article is to determine the theoretical foundations of stimulating the development of smart manufacturing in Ukraine based on local protectionism. The systematization and arrangement of concepts related to the Fourth Industrial Revolution (Industry 4.0) allows not only to clarify the concept of "

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25

Hu, Bin, XiaoDong Zhang, XinJie Liu, TianJu Ding, and XiSong Dong. "A Parallel Flexible Manufacturing System: Smart Manufacturing in the Age of Smart Industry." IEEE Systems, Man, and Cybernetics Magazine 9, no. 4 (2023): 69–76. http://dx.doi.org/10.1109/msmc.2022.3227383.

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26

Yoon, Chui Young. "Measurement of Smart Technology Capability for Manufacturing Fields in a Smart Technology Environment." International Journal of Information and Electronics Engineering 9, no. 3 (2019): 67–71. http://dx.doi.org/10.18178/ijiee.2019.9.3.708.

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27

Davis, Jim, Thomas Edgar, James Porter, John Bernaden, and Michael Sarli. "Smart manufacturing, manufacturing intelligence and demand-dynamic performance." Computers & Chemical Engineering 47 (December 2012): 145–56. http://dx.doi.org/10.1016/j.compchemeng.2012.06.037.

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28

Hsu, Chao-Chung, Bi-Hai Jiang, and Chun-Cheng Lin. "A Survey on Recent Applications of Artificial Intelligence and Optimization for Smart Grids in Smart Manufacturing." Energies 16, no. 22 (2023): 7660. http://dx.doi.org/10.3390/en16227660.

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To enable highly automated manufacturing and net-zero carbon emissions, manufacturers have invested heavily in smart manufacturing. Sustainable and smart manufacturing involves improving the efficiency and environmental sustainability of various manufacturing operations such as resource allocation, data collecting and monitoring, and process control. Recently, a lot of artificial intelligence and optimization applications based on smart grid systems have improved the energy usage efficiency in various manufacturing operations. Therefore, this survey collects recent works on applications of art

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29

Wu, Binbin, Bangjun Gao, Wei Xu, Hongxun Wang, Yang Yi, and Premalatha R. "Sustainable food smart manufacturing technology." Information Processing & Management 59, no. 1 (2022): 102754. http://dx.doi.org/10.1016/j.ipm.2021.102754.

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30

Brown, Keith A., and Grace X. Gu. "Dimensions of Smart Additive Manufacturing." Advanced Intelligent Systems 3, no. 12 (2021): 2100240. http://dx.doi.org/10.1002/aisy.202100240.

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31

Li, Lianhui, Bingbing Lei, and Chunlei Mao. "Digital twin in smart manufacturing." Journal of Industrial Information Integration 26 (March 2022): 100289. http://dx.doi.org/10.1016/j.jii.2021.100289.

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32

Eynard, Benoît, and Magali Bosch-Mauchand. "Integrated design and smart manufacturing." Concurrent Engineering 23, no. 4 (2015): 281–83. http://dx.doi.org/10.1177/1063293x15607367.

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33

Towill, D. "Smooth is smart [automobile manufacturing]." Manufacturing Engineer 85, no. 2 (2006): 18–23. http://dx.doi.org/10.1049/me:20060202.

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34

Bayart, M. "Smart devices for manufacturing equipment." Robotica 21, no. 3 (2003): 325–33. http://dx.doi.org/10.1017/s0263574702004836.

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Smart devices used in continuous system, benefit from the addition of microelectronics and software that runs inside the device to perform control and diagnostic functions. Very small components, such as inputs/outputs blocks and overload relays, are too small to integrate data processing for technical-economic reason. However, it's possible to develop embedded intelligence and control for the smallest factory floor devices. In the paper, a generic model of smart equipment with reconfiguration functions is proposed. The interest of this functional model is that it can be used for smart devices

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35

Tuptuk, Nilufer, and Stephen Hailes. "Security of smart manufacturing systems." Journal of Manufacturing Systems 47 (April 2018): 93–106. http://dx.doi.org/10.1016/j.jmsy.2018.04.007.

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36

Oberai, Ankush, and Rupa Kamoji. "SMART manufacturing through predictive FA." Microelectronics Reliability 114 (November 2020): 113822. http://dx.doi.org/10.1016/j.microrel.2020.113822.

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37

Riordan, Andrew D. O’, Daniel Toal, Thomas Newe, and Gerard Dooly. "Object recognition within smart manufacturing." Procedia Manufacturing 38 (2019): 408–14. http://dx.doi.org/10.1016/j.promfg.2020.01.052.

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38

Dutton, Gail. "Smart Manufacturing Widens Pharma's Horizons." Genetic Engineering & Biotechnology News 39, no. 8 (2019): 12–14. http://dx.doi.org/10.1089/gen.39.08.04.

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39

Lu, Jinzhi, Xiaochen Zheng, and Dimitris Kiritsis. "Special Issue: Smart Resilient Manufacturing." Applied Sciences 13, no. 1 (2022): 464. http://dx.doi.org/10.3390/app13010464.

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During the past decades, the global manufacturing industries have been reshaped by the rapid development of advanced technologies, such as cyber-physical systems, Internet of Things, artificial intelligence (AI), machine learning, cloud/edge computing, smart sensing, advanced robotics, blockchain/distributed ledger technology, etc [...]

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40

Edgar, Thomas F., and Efstratios N. Pistikopoulos. "Smart manufacturing and energy systems." Computers & Chemical Engineering 114 (June 2018): 130–44. http://dx.doi.org/10.1016/j.compchemeng.2017.10.027.

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41

Barari, Ahmad, and Marcos Sales Guerra Tsuzuki. "Smart Manufacturing and Industry 4.0." Applied Sciences 13, no. 3 (2023): 1545. http://dx.doi.org/10.3390/app13031545.

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42

Li, Xingyu, Ragu Athinarayanan, Baicun Wang, et al. "Smart Reconfigurable Manufacturing: Literature Analysis." Procedia CIRP 121 (2024): 43–48. http://dx.doi.org/10.1016/j.procir.2023.09.228.

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43

Kamand, Sahar al. "Smart Printing for Sustainable Manufacturing." OPE Journal 14, no. 46 (2024): 14–16. http://dx.doi.org/10.51202/2366-8040-2024-46-014.

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The contemporary electronics manufacturing landscape emphasizes sustainability due to technological advancements and demand for electronic products. This growth in production has raised concerns about electronic waste. Printed electronics emerges as a pivotal solution, leveraging its capacity for lower material usage through additive printing. Sahar al Kamand of Hummink (France) explains how the company’s High Precision Capillary Printing (HPCAP) technology aligns with eco-friendly objectives.

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44

Verma, Deepak. "Analysis of Smart Manufacturing Technologies for Industry Using AI Methods." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 9, no. 2 (2018): 529–40. http://dx.doi.org/10.17762/turcomat.v9i2.13857.

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Smart manufacturing technologies have gained significant attention in the industrial sector due to their potential to revolutionize traditional manufacturing processes. Among these technologies, artificial intelligence (AI) methods have emerged as powerful tools for enhancing efficiency, productivity, and decision-making in manufacturing operations. This paper presents an analysis of smart manufacturing technologies for industry using AI methods. The analysis focuses on the application of AI techniques such as machine learning, deep learning, and data analytics in various aspects of smart manu

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45

Bequette, B. Wayne. "110th Anniversary: Commentary: The Smart Human in Smart Manufacturing." Industrial & Engineering Chemistry Research 58, no. 42 (2019): 19317–21. http://dx.doi.org/10.1021/acs.iecr.9b03544.

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46

Noor-A-Rahim, Md, Jobish John, Fadhil Firyaguna, et al. "Wireless Communications for Smart Manufacturing and Industrial IoT: Existing Technologies, 5G and Beyond." Sensors 23, no. 1 (2022): 73. http://dx.doi.org/10.3390/s23010073.

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Smart manufacturing is a vision and major driver for change in today’s industry. The goal of smart manufacturing is to optimize manufacturing processes through constantly monitoring, controlling, and adapting processes towards more efficient and personalised manufacturing. This requires and relies on technologies for connected machines incorporating a variety of computation, sensing, actuation, and machine to machine communications modalities. As such, understanding the change towards smart manufacturing requires knowledge of the enabling technologies, their applications in real world scenario

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47

STRIZHAKOV, Dmitrii V., and Ekaterina N. STRIZHAKOVA. "Technological transformation of industry: The smart manufacturing phenomenon." National Interests: Priorities and Security 21, no. 6 (2025): 113–31. https://doi.org/10.24891/cphmlk.

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Subject. This article focuses on technological transformation of industrial production under the influence of digital technologies. Objectives. The article aims to analyze the concept of smart manufacturing and the key technologies used by a smart factory, and identify the advantages of implementing elements of smart manufacturing for companies. Methods. For the study, we used the methods of general scientific research. Results. Smart factory technologies possess high flexibility and can bring positive results at any stage of a company's digital transformation. Enterprises and organizations th

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48

Kaňovská, Lucie. "Are smart service manufacturing providers different in cooperation and innovation flexibility, in innovation performance and business performance from non-smart service manufacturing providers?" Engineering Management in Production and Services 12, no. 4 (2020): 105–16. http://dx.doi.org/10.2478/emj-2020-0031.

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Abstract To overcome the challenges posed by increasing competition, many traditional manufacturing companies are moving from the mere production of manufacturing goods to the integration of services that are more or less integrated into the product, which is also due to the constant development of the industry. Moreover, many manufacturing companies offer products that use smart technologies. This paper focuses on the importance of smart service provision for cooperation and innovation flexibility, innovation performance and business performance in small and medium manufacturing companies. Th

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49

Merzlikina, Galina Stepanovna. "Economic efficiency of smart production: from targets to regulations." Vestnik of Astrakhan State Technical University. Series: Economics 2021, no. 3 (2021): 17–27. http://dx.doi.org/10.24143/2073-5537-2021-3-17-27.

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The article deals with the problems of assessing the economic efficiency of smart production and ways to resolve them. It has been found that Smart Manufacturing is currently becoming a goal in itself and a guarantor of successful development of industrial business. A comparative analysis of scientific publications to clarify the content of the concept of Smart Manufacturing is carried out, it is revealed that it is necessary to distinguish between intelligent and smart production, which are currently used as synonyms. Analysis of the practice of organizing smart manufacturing has shown that o

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50

Yonemoto, Ryo, Tetsuo Samukawa, and Haruhiko Suwa. "Development of Flexible Manufacturing Simulator for Smart Green Manufacturing." Proceedings of Manufacturing Systems Division Conference 2018 (2018): 205. http://dx.doi.org/10.1299/jsmemsd.2018.205.

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