Готові списки джерел за темами / Industrial and manufacturing processes

Добірка наукової літератури з теми "Industrial and manufacturing processes"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Industrial and manufacturing processes"

1

Hayes, K. S. "Industrial processes for manufacturing amines." Applied Catalysis A: General 221, no. 1-2 (November 2001): 187–95. http://dx.doi.org/10.1016/s0926-860x(01)00813-4.

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2

Florusse, Leendert B. "Manufacturing processes from an industrial management viewpoint." Computer Integrated Manufacturing Systems 5, no. 4 (November 1992): 269–75. http://dx.doi.org/10.1016/0951-5240(92)90043-c.

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3

MILITARU (BRATU), Elena-Mădălina, Roxana Alexandra GHEȚA, Andrei-Valentin BRATU, Gabriel Marius DUMITRU, and Gabriel IACOBESCU. "Non-Conformities Analysis in the Industrial Manufacturing Processes." Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science 41, no. 3 (September 15, 2018): 35–44. http://dx.doi.org/10.35219/mms.2018.3.06.

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4

Salmi, Mika. "Comparing additive manufacturing processes for distributed manufacturing." IFAC-PapersOnLine 55, no. 10 (2022): 1503–8. http://dx.doi.org/10.1016/j.ifacol.2022.09.603.

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Zagidullin, R. R. "Management of manufacturing processes." Russian Engineering Research 31, no. 2 (February 2011): 187–90. http://dx.doi.org/10.3103/s1068798x11020286.

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6

Lauwers, Bert, Fritz Klocke, Andreas Klink, A. Erman Tekkaya, Reimund Neugebauer, and Don Mcintosh. "Hybrid processes in manufacturing." CIRP Annals 63, no. 2 (2014): 561–83. http://dx.doi.org/10.1016/j.cirp.2014.05.003.

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7

Silva Parente, Ricardo, Italo Rodrigo Soares Silva, Paulo Oliveira Siqueira Junior, and Iracyanne Retto Uhlmann. "Digital technologies review for manufacturing processes." Independent Journal of Management & Production 13, no. 1 (March 1, 2022): 321–49. http://dx.doi.org/10.14807/ijmp.v13i1.1516.

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Анотація:
It is apparent the industrial processes transformations caused by industry 4.0 are in advance in some countries like China, Japan, Germany and United States. But, in return, the developing countries, as the emergent Brazil, seem like to have a long way to achieve digital era. Considering manufacturing processes as the starting point the rise of industry 4.0, this research aims to show a review about the most important technologies used in smart manufacturing, including the main challenges to implement it at Brazil. The papers were collected from Web of Science (WoS), comprising 114 articles and 2 books to underpin this study. This exploratory research resulted in the presentation of some challenges faced by Brazilian industry to join the new industrial era, such as poor technological infrastructure, besides lack of investment in technologies and training of qualified people. Even though the primary motivation of this research was to present a panorama of smart manufacturing for Brazil, this study results contributes to the most of emergent countries, bringing together general concepts and addressing practical applications developed by several researchers from the international academic community.
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8

Šťastná, Lucie, and Michal Šimon. "Improvement of Administration Processes in Manufacturing Companies." Applied Mechanics and Materials 835 (May 2016): 835–40. http://dx.doi.org/10.4028/www.scientific.net/amm.835.835.

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This paper is focused on administrative processes in manufacturing companies. It discusses about that the company should focus on its administrative processes and not just on manufacturing processes. In these processes a big potential is hidden. The article deals the concept of lean enterprise and defines all of its areas. Further it also shows the current status of administrative processes and the waste that occurs. Furthermore a proposal of workflow with the administrative processes is shown here with using methods of industrial engineering. Finally the two examples from practice are shown with using methods of industrial engineering in the administrative processes
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Horr, Amir M., and Johannes Kronsteiner. "Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique." Metals 11, no. 12 (November 23, 2021): 1884. http://dx.doi.org/10.3390/met11121884.

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Анотація:
Hybrid physical-data-driven modeling techniques have steadily been developed to address the multi-scale and multi-physical aspects of dynamic process simulations. The analytical and computational features of a new hybrid-evolving technique for these processes are elaborated herein and its industrial applications are highlighted. The authentication of this multi-physical and multi-scale framework is carried out by developing an integrated simulation environment where multiple solver technologies are employed to create a reliable industrial-oriented simulation framework. The goal of this integrated simulation framework is to increase the predictive power of material and process simulations at the industrial scale.
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Barash, Moshe M. "Manufacturing engineering processes." Journal of Manufacturing Systems 13, no. 3 (January 1994): 235–37. http://dx.doi.org/10.1016/0278-6125(94)90007-8.

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Дисертації з теми "Industrial and manufacturing processes"

1

Hides, Michael. "New products into manufacturing." Thesis, University of Salford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341312.

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Bose, Prosenjit. "Geometric and computational aspects of manufacturing processes." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=28686.

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Анотація:
Two of the fundamental questions that arise in the manufacturing industry concerning every type of manufacturing process are: (1) Given an object, can it be built using a particular process? (2) Given that an object can be built using a particular process, what is the best way to construct the object? The latter question gives rise to many different problems depending on how best is qualified. We address these problems for two complimentary categories of manufacturing processes: rapid prototyping systems and casting processes. The method we use to address these problems is to first define a geometric model of the process in question and then answer the question on that model.
In the category of rapid prototyping systems, we concentrate on stereolithography, which is emerging as one of the most popular rapid prototyping systems. We model stereolithography geometrically and then study the class of objects that admit a construction in this model. For the objects that admit a construction, we find the orientations that allow a construction of the object.
In the category of casting processes, we concentrate on gravity casting and injection molding. We first model the process and its components geometrically. We then characterize and recognize the objects that can be formed using a re-usable two-part cast. Given that a cast of an object can be formed, we determine a suitable location for the pin gate, the point from which liquid is poured or injected into a mold. Finally, we compute an orientation of a mold that ensures a complete fill and minimizes the number of venting holes for molds used in gravity casting processes.
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3

Ahn, Song-Jun. "The impacts of automation equipment at Chung-Woo Industrial Co., Ltd." Online version, 1998. http://www.uwstout.edu/lib/thesis/1998/1998ahns.pdf.

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Lofthouse, Victoria Anne. "Facilitating ecodesign in an industrial design context : an exploratory study." Thesis, Cranfield University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270755.

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Williams, Edward James. "A neural network based approach to fault detection in industrial processes." Thesis, University of Plymouth, 1994. http://hdl.handle.net/10026.1/1743.

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Анотація:
The need for automated fault detection methods has increased in line with the complexity of processing plant technology and their control systems. Fast and accurate fault detection and isolation (FDI) is essential if a controller is to be effective in a supervisory role. This thesis is concerned with developing an FDI system based upon artificial neural network techniques. The artificial neural network (ANN) is a mechanism based upon the concepts of information processing within the brain, and consequently has the ability to self adjust, or learn about a given problem domain. It can thus be utilised in currently favoured model-based FDI systems with the advantage that it can learn process dynamics by being presented examples of process input-output pairs without the need for traditional mathematically complex models. Similarly, ANNs can be taught to classify characteristics in the residual (or plant-model difference) signal without the necessity of constructing the types of filter used in more classical solutions. Initially, a class of feedforward neural network called the multilayer perceptron (MLP) is used to model mathematically simulated linear and nonlinear plants in order to demonstrate their abilities in this field, as well as investigating the consequence of parameter variation on model effectiveness and how the model can be utilised in a model-based FDI system. A principle aim of this research is to demonstrate the ability of the system to work online and in real-time on genuine industrial processes, and the plant nominated as a test bed - the Unilever Automated Freezer (UAF) - is introduced. The UAF, being a time-varying system, requires a novel system identification approach which has resulted in a number of cascaded MLPs to model the various stages in the phased startup of the process. In order to reduce model mismatch to a minimum, it was necessary to develop an effective switching mechanism between one MLP in the cascade and the next. Attempts using a rule-based switching mechanism, a simple MLP switch and an error based switching mechanism were made, before a solution incorporating a genetic algorithm and an MLP network was developed which had the capability of learning the optimum switching points. After the successful development of the model, a series of MLPs were trained to recognise the characteristics of a number of faults within the residual signals. Problems involving false alarms between certain faults were reduced by the introduction of templates - or information pertaining to when a particular fault was most evident in the residuals. The final solution consisting of an MLP Cascade model and fault isolation MLPs is essentially generic for this class of time-varying system, and the results achieved on the UAF were far superior to those of the currently used FDI system without the need for any extra sensory information. The MLP Cascade and associated switching device together with the development of an online real-time FDI system for a time-varying piece of industrial machinery, are deemed to be original contributions to knowledge.
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Menon, U. "A multi-objective production planning framework for automated manufacturing systems." Thesis, University of Nottingham, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356077.

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Kamtekar, Darshana M. "Implementation of functional safety in a robotic manufacturing cell using IEC 61508 standard and Siemens technology /." Online version of thesis, 2009. http://hdl.handle.net/1850/11174.

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Small, Caroline Armentha. "A study of the use of modelling in manufacturing change projects." Thesis, University of Derby, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326176.

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Owen, John J. IIII. "Economic evaluation and justification of industrial automation." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/24539.

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Wahid, Zaharah. "Potential for process improvement of the rubber glove manufacturing process : an industrial case study." Thesis, University of Newcastle Upon Tyne, 1998. http://hdl.handle.net/10443/792.

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Анотація:
Coagulant dipping constitutes an important part of the rubber glove manufacturing process. Its operation is affected by many variables which dictates the quality of the finished product. Therefore, investigating the controllable factors affecting the quality of the product and process in the presence of noise factors for process improvement is the primary aim of this study. Robust process design for off-line quality control has received much attention in the literature. Application of this design in the rubber examination glove industry as an alternative solution for potential competitive advantage was investigated. The robust design problem is defined in terms of design objectives, controllable factors and noise factors. In this thesis we combined both controllable and noise factors as a single experimental set-up. An L16 orthogonal array was used as it would allow the evaluation of the eight main factors chosen and some of their interactions. The use of fractional factorial reduces the number of runs required. Physical experiments were conducted in the glove manufacturing plant for the case problem. Effects of experimental errors, model assumptions, the experimental design and modelling approaches on the results are discussed. Models capable of predicting the response performance of the process under study are developed and investigated. Experience learnt from the implementation of quality improvement which are human related factors are also addressed in this thesis. From this study we gained a better understanding of the rubber glove manufacturing process. We are therefore in a better position to see what levels of the independent factors will lead to acceptable response values and acceptable variability. This approach allows us to make appropriate compromises between a target value for the response of interest and resulting variance. The additional knowledge were not known before. It could be used as an advantage for the glove manufacturers to better control their processes. The enormous potential benefits that could be reaped from the information gained about the process quantify the efforts for improvements.
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Книги з теми "Industrial and manufacturing processes"

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Cavani, Fabrizio. Sustainable industrial processes. Weinheim: Wiley-VCH, 2009.

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Introduction to manufacturing processes. Hoboken, NJ: Wiley, 2011.

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3

Simulation of industrial processes for control engineers. Oxford: Butterworth-Heinemann, 1999.

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4

A, Fasano, ed. Complex flows in industrial processes. Boston: Birkhäuser, 1999.

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5

Optimization of industrial unit processes. 2nd ed. Boca Raton, Fla: CRC Press, 1999.

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6

Thomas, Vasilos, ed. Industrial materials. Englewood Cliffs, N.J: Prentice Hal, 1995.

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7

Sá, Eduardo Klingelhoefer de. Automação industrial: Um suporte à competitividade. [Rio de Janeiro, Brazil]: Banco Nacional de Desenvolvimento Econômico e Social, Area de Planejamento, Departamento de Estudos, 1989.

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8

Klocke, Fritz. Manufacturing Processes 4: Forming. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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9

Klocke, Fritz. Manufacturing Processes 1: Cutting. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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10

Industrial processes and waste stream management. New York: Wiley, 1998.

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Частини книг з теми "Industrial and manufacturing processes"

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Karpinski, Andrzej, and Rolf Wink. "Manufacturing Processes." In Industrial High Pressure Applications, 257–81. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527652655.ch11.

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Evans, Mark. "Process Optimisation Through Industrial Experimentation." In Optimisation of Manufacturing Processes, 3–15. London: CRC Press, 2022. http://dx.doi.org/10.1201/9780138744885-2.

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3

Kalita, Hridayjit, and Kaushik Kumar. "Industrial Internet of Things in Manufacturing." In Advances in Sustainable Machining and Manufacturing Processes, 251–61. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003284574-17.

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Singh, Ravinder P., Vishal Gupta, Girish C. Verma, Pulak Mohan Pandey, and Uday Shanker Dixit. "Recent Advances in Ultrasonic Manufacturing and Its Industrial Applications." In Additive and Subtractive Manufacturing Processes, 51–73. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003327394-3.

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Martínez-Pastor, J., Patricio Franco, Domingo Moratilla, and Pedro J. Lopez-Garcia. "Optimization of Forming Processes for Gelled Propellant Manufacturing." In Management and Industrial Engineering, 1–28. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60432-9_1.

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Farina, Angiolo, and Luigi Preziosi. "Infiltration Processes in Composite Materials Manufacturing: Modeling and Qualitative Results." In Complex Flows in Industrial Processes, 281–306. Boston, MA: Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1348-2_9.

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López-Ramos, Luis Alberto, Guillermo Cortés-Robles, Eduardo Roldán-Reyes, Giner Alor-Hernández, and Cuauhtémoc Sánchez-Ramírez. "The Knowledge-Based Maintenance: An Approach for Reusing Experiences in Industrial Systems." In Best Practices in Manufacturing Processes, 505–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99190-0_23.

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Jamil, George Leal, Antonio Juan Brioñes-Peñalver, and Domingo García-Perez de Lema. "Reflecting on Industrial Business Models: A History of Tradition, Challenges, and Potential Innovations." In Best Practices in Manufacturing Processes, 211–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99190-0_10.

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Grewal, Simmy. "Industrial Case Studies." In Manufacturing Process Design and Costing, 61–70. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-091-5_7.

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Saha, N. C., Anup K. Ghosh, Meenakshi Garg, and Susmita Dey Sadhu. "Semi-rigid Materials—Manufacturing Processes and Its Application." In Lecture Notes in Management and Industrial Engineering, 89–111. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4233-3_3.

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Тези доповідей конференцій з теми "Industrial and manufacturing processes"

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Krellner, Bjorn, Raphael Kunis, and Gudula Runger. "Modeling of energy-sensitive manufacturing processes." In 2011 9th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2011. http://dx.doi.org/10.1109/indin.2011.6034898.

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Wu, Z., Abdelhakim H. Boughriet, Hugh McCann, L. E. Davis, and A. T. Nugroho. "Investigation of microwave tomographic imaging techniques for industrial processes." In Intelligent Systems and Smart Manufacturing, edited by Hugh McCann and David M. Scott. SPIE, 2001. http://dx.doi.org/10.1117/12.417172.

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Liu, Ping, Qiang Zhang, Aihui Wang, Jingwen Song, Daming Li, Yuhao Yan, and Li Yang. "Machinery-oriented Capacity Control for Complex Industrial Manufacturing Processes." In 2021 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2021. http://dx.doi.org/10.1109/icamechs54019.2021.9661541.

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Peydró Rasero, M. A., D. Juarez Varón, M. A. Selles Cantó, Raul Navarro Vidal, and Vicente Jesus Segui. "Innovative Technical Issues In The Subject Industrial Processes." In THIRD MANUFACTURING ENGINEERING SOCIETY INTERNATIONAL CONFERENCE: MESIC-09. AIP, 2009. http://dx.doi.org/10.1063/1.3273693.

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Alexakos, Christos, Christos Anagnostopoulos, and Athanasios P. Kalogeras. "Integrating IoT to manufacturing processes utilizing semantics." In 2016 IEEE 14th International Conference on Industrial Informatics (INDIN). IEEE, 2016. http://dx.doi.org/10.1109/indin.2016.7819150.

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Isaja, Mauro, and John Soldatos. "Distributed ledger technology for decentralization of manufacturing processes." In 2018 IEEE Industrial Cyber-Physical Systems (ICPS). IEEE, 2018. http://dx.doi.org/10.1109/icphys.2018.8390792.

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Mondal, S. C. "A study of multivariate process capability indices in manufacturing processes." In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2015. http://dx.doi.org/10.1109/ieem.2015.7385874.

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Biancucci, Michele, Jordan Janeiro, Massimo Mecella, and Stephan Lukosch. "Supporting industrial processes by monitoring and visualizing collaborations." In 2014 International Conference on Innovative Design and Manufacturing (ICIDM). IEEE, 2014. http://dx.doi.org/10.1109/idam.2014.6912716.

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Ho, W. K., A. Tay, K. W. Lim, A. P. Loh, and W. W. Tan. "Integrated metrology and processes for semiconductor manufacturing." In 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005. IEEE, 2005. http://dx.doi.org/10.1109/iecon.2005.1569258.

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Chiumenti, M. "Developments in additive manufacturing processes: industrial technologies and numerical analyses." In 9th edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering. CIMNE, 2021. http://dx.doi.org/10.23967/coupled.2021.066.

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Звіти організацій з теми "Industrial and manufacturing processes"

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Plasil, F., and J. Walter. (Development of industrial processes for manufacturing of silicon sampling hadron calorimeters). Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/6282509.

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Mac Dougall, James. Bioelectrochemical Integration of Waste Heat Recovery, Waste-to- Energy Conversion, and Waste-to-Chemical Conversion with Industrial Gas and Chemical Manufacturing Processes. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1242987.

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Medina, Enrique A., Kaitlin Schneider, Arthur Temmesfeld, Jill Csavina-Raison, Douglas Hutchens, Robert Drerup, Roberto Acosta, et al. Manufacturing Technology (MATES) II. Task Order 0006: Air Force Technology and Industrial Base Research Sub-Task 07: Future Advances in Electronic Materials and Processes-Flexible Hybrid Electronics. Fort Belvoir, VA: Defense Technical Information Center, February 2016. http://dx.doi.org/10.21236/ad1011193.

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Jagannathan, Shanti, and Dorothy Geronimo. Reaping the Benefits of Industry 4.0 through Skills Development in the Philippines. Asian Development Bank, January 2021. http://dx.doi.org/10.22617/spr200326.

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Анотація:
This report explores the implications of the Fourth Industrial Revolution (4IR) on the future of the job market in the Philippines. It assesses how jobs, tasks, and skills are being transformed in the information technology-business process outsourcing industry and electronics manufacturing industry. These two industries have high relevance to 4IR technologies and are important to the country’s employment, growth, and international competitiveness. They are likely to benefit from the transformational effect of 4IR, if there is adequate investment on jobs, skills, and training. The report is part of series developed from an Asian Development Bank study on trends in skills demand in Cambodia, Indonesia, the Philippines, and Viet Nam.
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Goldberg, A. Beryllium Manufacturing Processes. Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/897931.

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McCarthy, James, Michael Powell, Keith Stouffer, CheeYee Tang, Timothy Zimmerman, William Barker, Titilayo Ogunyale, Devin Wynne, and Johnathan Wiltberger. Securing manufacturing industrial control systems:. Gaithersburg, MD: National Institute of Standards and Technology, July 2020. http://dx.doi.org/10.6028/nist.ir.8219.

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Gur, Ilan. Turbocharging bio-based manufacturing processes. Office of Scientific and Technical Information (OSTI), March 2020. http://dx.doi.org/10.2172/1607929.

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Jordan, Brian. Industrial Deployment of Computer Aided Manufacturing Software for Hybrid Advanced Manufacturing. Office of Scientific and Technical Information (OSTI), August 2022. http://dx.doi.org/10.2172/1883743.

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BALYSH, A., and O. CHIRICOVA. PROBLEMS OF PRODUCTION AND USE OF SHEALING SLEEVES IN THE USSR BEFORE AND DURING THE GREAT PATRIOTIC WAR. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2077-1770-2021-13-4-2-24-33.

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Анотація:
The aim of the article. One of the most interesting and topical problems in the USSR military industry development is the establishment and development of the USSR ammunition industry. The article is devoted to the study of one of the reasons for the poor supply of the Red Army by ammunition in the initial period of the war of 1941 - a lack of sleeves, which limited the production of artillery shells. The author sets the purpose of revealing the reasons for the unsatisfactory state of affairs in the field of manufacture by the industrial enterprises of the USSR industrial enterprises before the war, as well as the influence of this factor on the production and use of the sleeves during the war years. Methodology. General principles of historism and objectivity are the theoretical-methodological base of this work. Author also uses special historical methods: logic, systematic, chronological, actualisation and periodizing. Results. This article is based on documents storing in the Russian State Archive and Russian State Economical Archive. With the help of this documents and materials the author make the following decision: in 30th years of XX century in the USSR under forcing of industrial development the governmental bodies were not able to perform the efficient planning policy in the field of enterprises control especially in the defense branches. High-level personnel purposively disturbed technological process. It spoiled enterprises operation and it was the reason of defect production manufacturing. Practical application. Practical significance of this work is as follows: the archive data, which are for the first time used for scientific investigation and also the conclusions formulated in this article can be used for further scientific research of the USSR military industry in the industrialization period and on military production lend-lease during the Great Patriotic War and also in Soviet history in general.
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Anand, Shriya, Amogh Arakali, Arindam Jana, Jyothi Koduganti, and Neha Sami. Manufacturing Cities : Industrial Policy and Urban Growth. Indian Institute for Human Settlements, 2014. http://dx.doi.org/10.24943/iihsrfpps7.2014.

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