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Готові списки джерел за темами / Industrial and manufacturing processes / Статті в журналах

Статті в журналах з теми "Industrial and manufacturing processes"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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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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5

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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9

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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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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10

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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11

Al-Makky, M., and D. Mahmoud. "THE IMPORTANCE OF ADDITIVE MANUFACTURING PROCESSES IN INDUSTRIAL APPLICATIONS." International Conference on Applied Mechanics and Mechanical Engineering 17, no. 17 (April 1, 2016): 1–14. http://dx.doi.org/10.21608/amme.2016.35288.

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12

Biege, Sabine, Gunter Lay, and Daniela Buschak. "Mapping service processes in manufacturing companies: industrial service blueprinting." International Journal of Operations & Production Management 32, no. 8 (July 13, 2012): 932–57. http://dx.doi.org/10.1108/01443571211253137.

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13

Franceschini, F., and M. Galetto. "Composition laws for learning curves of industrial manufacturing processes." International Journal of Production Research 41, no. 7 (January 2003): 1431–47. http://dx.doi.org/10.1080/1352816031000075035.

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14

Garcia-Crespo, A., B. Ruiz-Mezcua, J. L. Lopez-Cuadrado, and J. M. Gomez-Berbis. "Conceptual model for semantic representation of industrial manufacturing processes." Computers in Industry 61, no. 7 (September 2010): 595–612. http://dx.doi.org/10.1016/j.compind.2010.01.004.

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15

Moroz, Ewa. "Computer aided manufacturing processes using Lean Management and Lean Manufacturing methods." Mechanik 91, no. 7 (July 9, 2018): 535–37. http://dx.doi.org/10.17814/mechanik.2018.7.76.

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Анотація:

In the paper the basic assumptions leading to identification of causes and to the elimination of waste occurring in production processes based on the assumptions of Lean Management and Lean Manufacturing are defined. Presented is the use of example applications for computer-assisted value stream mapping of production streams in industrial practice.

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16

Liang, Steven Y. "MANUFACTURING PROCESSES AND EQUIPMENT." Machining Science and Technology 4, no. 2 (January 2000): 317–18. http://dx.doi.org/10.1080/10940340008945713.

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17

Bernard, Gabriel, Sofiane Achiche, Sébastien Girard, and René Mayer. "Condition Monitoring of Manufacturing Processes under Low Sampling Rate." Journal of Manufacturing and Materials Processing 5, no. 1 (March 23, 2021): 26. http://dx.doi.org/10.3390/jmmp5010026.

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Анотація:

Manufacturing processes can be monitored for anomalies and failures just like machines, in condition monitoring and prognostic and health management. This research takes inspiration from condition monitoring and prognostic and health management techniques to develop a method for part production process monitoring. The contribution brought by this paper is an automated technique for process monitoring that works with low sampling rates of 1/3Hz, a limitation that comes from using data provided by an industrial partner and acquired from industrial manufacturing processes. The technique uses kernel density estimation functions on machine tools spindle load historical time signals for distribution estimation. It then uses this estimation to monitor the manufacturing processes for anomalies in real time. A modified version was tested by our industrial partner on a titanium part manufacturing line.

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18

Wang, Yuanbin, Robert Blache, and Xun Xu. "Selection of additive manufacturing processes." Rapid Prototyping Journal 23, no. 2 (March 20, 2017): 434–47. http://dx.doi.org/10.1108/rpj-09-2015-0123.

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Анотація:

Purpose This study aims to review the existing methods for additive manufacturing (AM) process selection and evaluate their suitability for design for additive manufacturing (DfAM). AM has experienced a rapid development in recent years. New technologies, machines and service bureaus are being brought into the market at an exciting rate. While user’s choices are in abundance, finding the right choice can be a non-trivial task. Design/methodology/approach AM process selection methods are reviewed based on decision theory. The authors also examine how the user’s preferences and AM process performances are considered and approximated into mathematical models. The pros and cons and the limitations of these methods are discussed, and a new approach has been proposed to support the iterating process of DfAM. Findings All current studies follow a sequential decision process and focus on an “a priori” articulation of preferences approach. This kind of method has limitations for the user in the early design stage to implement the DfAM process. An “a posteriori” articulation of preferences approach is proposed to support DfAM and an iterative design process. Originality/value This paper reviews AM process selection methods in a new perspective. The users need to be aware of the underlying assumptions in these methods. The limitations of these methods for DfAM are discussed, and a new approach for AM process selection is proposed.

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19

Balasubramanian, S., K. Manonmani, and R. M. Hemalatha. "Lasers in Green Manufacturing Processes." Applied Mechanics and Materials 592-594 (July 2014): 473–78. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.473.

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A safe and healthy work piece is important for sustainable manufacturing process. Green laser surface hardening is a heat treatment process on a part of its application does not use water or oil as quenching media, because it is self-quenching and less detrimental to the environment. Since it is an energy saving process it is fast being adopted by manufacturing industries. Quenching media used in conventional heat treatment process for a sudden cooling of the heated work piece to get hard structure transformation. Unfortunately the reactions of quenchant with hot working also have several negative health, production cost, and environmental impact.This paper focuses the experimental investigation into the roller of green surface hardening on energy saving, the production cost of the industrial components. A comparative study of surface hardening under conventional and laser sources was conducted using similar components. The results show that the quality of hardening improved in laser hardening but the process time increased marginally at one stage and reduced at other shapes of manufacturing. In analyzing the process cost laser hardening show cast saving notably.

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20

Denkena, Berend, Marc-André Dittrich, Siebo Stamm, Marcel Wichmann, and Sören Wilmsmeier. "Gentelligent processes in biologically inspired manufacturing." CIRP Journal of Manufacturing Science and Technology 32 (January 2021): 1–15. http://dx.doi.org/10.1016/j.cirpj.2020.09.015.

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21

Kalyakulin, S. Yu, V. V. Kuz’min, P. M. Kuznetsov, E. V. Mitin, and S. P. Sul’din. "Mathematical Design of Industrial Processes." Russian Engineering Research 40, no. 12 (December 2020): 1045–47. http://dx.doi.org/10.3103/s1068798x20120060.

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22

Shih, Albert J., Shiva Raman, Yuebin Guo, Meisam Salahshoor, and Lihui Wang. "Advancements in manufacturing processes." Journal of Manufacturing Processes 24 (October 2016): 319–20. http://dx.doi.org/10.1016/j.jmapro.2016.06.010.

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23

Анцев, Виталий, Vitaliy Ancev, Наталья Витчук, Natal'ya Vitchuk, Анатолий Тотай, Anatoliy Totay, Александр Реутов, and Aleksandr Reutov. "ALGORITHM FOR STEPWISE IMPROVEMENT OF INDUSTRIAL PROCESSES AT MANUFACTURING ENTERPRISES." Bulletin of Bryansk state technical university 2018, no. 12 (December 18, 2018): 93–99. http://dx.doi.org/10.30987/article_5c174d774f4ae1.07857193.

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24

KAWANAMI, Takao. "Industrial Effects of Continuous Manufacturing Processes for Steel Strip Products." Journal of the Japan Society for Technology of Plasticity 48, no. 555 (2007): 263. http://dx.doi.org/10.9773/sosei.48.263.

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25

Leng, Sheng, Lu Wang, Gang Chen, and Dunbing Tang. "Engineering change information propagation in aviation industrial manufacturing execution processes." International Journal of Advanced Manufacturing Technology 83, no. 1-4 (July 30, 2015): 575–85. http://dx.doi.org/10.1007/s00170-015-7612-2.

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26

Banciu, F. V., and E. Pămîntaş. "Concepts and tools used to manage industrial manufacturing processes optimization." IOP Conference Series: Materials Science and Engineering 568 (September 17, 2019): 012031. http://dx.doi.org/10.1088/1757-899x/568/1/012031.

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27

Schindlerová, Vladimíra, Ivana Šajdlerová, and Dominika Lehocká. "Dynamic simulation for optimisation solution of manufacturing processes." MATEC Web of Conferences 244 (2018): 01010. http://dx.doi.org/10.1051/matecconf/201824401010.

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Анотація:

One way how to study the real behaviour of industrial processes or systems in practice is to use computer simulations. We can simulate different conditions and find optimal parameters without increased risk. The right application of these parameters in practice can produce the desired results. The advantage is not only the safe verification of various variants of the simulated parameters, but also the possibility of their use in different areas of industrial practice. This article deals with an example of the use of simulation in the production of the selected automobile cooling system component. The simulation model was created to design the correct number of Kanban circuits to shorten production lead time and to reduce inter-operational supplies. The suitability of using computer simulations to optimize the production processes and systems in practice can be confirmed based on comparison of the results from the computer simulation with results achieved in practice.

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28

Tabor, Joanna. "Study on Use of Information Technologies in Manufacturing Processes." Applied Mechanics and Materials 795 (October 2015): 220–26. http://dx.doi.org/10.4028/www.scientific.net/amm.795.220.

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Анотація:

This paper contains analysis and assessment of use of information technologies in manufacturing processes performed over the years 2010-2013 by manufacturing companies that employ at least 10 employees. Although companies use many different information technology automation devices and tools, this paper is only focused upon manufacturing process automation devices, since these automation devices exert a significant impact upon improvement of work safety levels. As a result of this study, industrial processing sector’s divisions were identified with the highest level of use of determined automation devices in relation to the adopted average value for the industrial processing sector as a whole, and directions of changes were identified in the area of use of the particular automation devices in the analysed groups of manufacturing companies being active in Poland.

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29

Peralta, M. E., Francisco Aguayo González, and Juan Ramón Lama Ruiz. "Clean Manufacturing from Cradle to Cradle." Key Engineering Materials 502 (February 2012): 43–48. http://dx.doi.org/10.4028/www.scientific.net/kem.502.43.

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Анотація:

The sustainability of manufacturing processes lies in industrial planning and productive activity. Industrial plants are characterized by the management of resource (inputs and outputs), processing and conversion processes, which usually are organized in a linear system. Good planning will optimize the manufacturing and promoting the quality of the industrial system. Cradle to Cradle is a new paradigm for engineering and sustainable manufacturing that integrates projects (industrial parks, manufacturing plants, systems and products) in a framework consistent with the environment, adapted to the society and technology and economically viable. To carry it out, we implement this paradigm in the MGE2 (Genomic Model of Eco-innovation and Eco-design), as a methodology for designing and developing products and manufacturing systems with an approach from the cradle to cradle.

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30

Tichkiewitch, S., and M. Véron. "Integration of Manufacturing Processes in Design." CIRP Annals 47, no. 1 (1998): 99–102. http://dx.doi.org/10.1016/s0007-8506(07)62794-2.

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31

Ferreira, Inês A., Radu Godina, and Helena Carvalho. "Waste Valorization through Additive Manufacturing in an Industrial Symbiosis Setting." Sustainability 13, no. 1 (December 29, 2020): 234. http://dx.doi.org/10.3390/su13010234.

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Анотація:

Given the current environmental concerns related to manufacturing, the introduction to the industrial symbiosis concept brought purpose to waste, instead of disposing it in landfills or eliminating it through incineration. The waste generated by industrial processes, or end-of-life products, is redirected to be used as a “new” input in another process by one or more organizations, which is a mutual benefit or a “symbiosis”. Despite its relevancy, the industrial symbiosis concept is marginally explored in the context of additive manufacturing; this emerging technology has disruptive potential regarding the use of different materials as secondary raw materials. This paper presents a systematic literature review regarding industrial symbiosis and additive manufacturing. The main objective is to identify how wastes can be used as input materials to additive manufacturing processes and what exchanges of resources occur in an industrial symbiosis setting. A final sample of 32 documents was reached and analyzed. Five examples of using waste streams in additive manufacturing processes to produce goods were highlighted and explored.

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32

Black, I. "Product Design in British Manufacturing—New Processes from Old Practices." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 208, no. 2 (May 1994): 81–87. http://dx.doi.org/10.1243/pime_proc_1994_208_064_02.

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Despite the publicity given nowadays to Britain's troubled economic condition, the roots of the demise of British manufacturing can be traced back to the mid-nineteenth century, a time when Britain reached its peak of industrialization and market dominance. However, complacency, mistrust and a general lack of nerve by Victorian society led the workshop of the world down a path that would lead to ongoing industrial decay and stagnation, reflected in Britain's current poor position in the global market-place. During this decline in industrial status modern design processes emerged within a general approach to manufacturing that was incapable of meeting the market demands that were to grow as the twentieth century progressed. This paper, by taking a backward look at product design from the industrial revolution, will show that salutary lessons can be learned from examining past performance. British manufacturing must profit from that experience if it wants to take its place among the leading industrialized nations of the future.

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33

Rao, Ming, and James T. Luxhoj. "Integration framework for intelligent manufacturing processes." Journal of Intelligent Manufacturing 2, no. 1 (February 1991): 43–52. http://dx.doi.org/10.1007/bf01471335.

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34

Sadeh, Arik, and Cristina Feniser. "Uncertainty and Managers’ skills in Industrial Innovation Processes." MATEC Web of Conferences 343 (2021): 05001. http://dx.doi.org/10.1051/matecconf/202134305001.

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Анотація:

In the manufacturing industry, there is a strive for innovative processes. This study puts the focus on the successful implementation of innovation projects in the manufacturing industry. The study identifies the interrelationships between two dimensions: management skills and change management of innovation projects implemented in an industrial organization and technological uncertainty. Innovation can be achieved through small steps (incremental innovation), i.e., minor improvements to current products, services, processes, and business models. The necessary skills for successful organizational change and how managers can acquire them are provided. The literature review dedicated to this subject emphasizes the relationship between an innovation project’s success and managers’ skills within the industrial organization. In this study, we have narrowed this dimension to the manager’s communication abilities. The data analysed were collected from Israel and Romania. We want to analyse the role human resources departments manage skills acquisition in the organisation, as well as the role of manager’s communication skills in innovative cases. The data from 275 Israeli project managers, mainly from innovative projects, was collected using a validated questionnaire. Data from Romanian 48 industrial companies was collected using questionnaires distributed to 67 managers from all hierarchical levels. We found that management skills are correlated with innovation and its success; communication skills are acquired through non-formal learning methods. The skills of managers are highly correlated with success, especially under high levels of technological uncertainty.

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35

Le Goff, Pierre. "Ecological Balance of Industrial Processes." Chemie Ingenieur Technik 73, no. 6 (June 2001): 589. http://dx.doi.org/10.1002/1522-2640(200106)73:6<589::aid-cite5891111>3.0.co;2-x.

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36

Ryan, A., and H. Lewis. "Manufacturing an environmentally friendly PCB using existing industrial processes and equipment." Robotics and Computer-Integrated Manufacturing 23, no. 6 (December 2007): 720–26. http://dx.doi.org/10.1016/j.rcim.2007.02.009.

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37

Furrer, David Ulrich. "Application of phase-field modeling to industrial materials and manufacturing processes." Current Opinion in Solid State and Materials Science 15, no. 3 (June 2011): 134–40. http://dx.doi.org/10.1016/j.cossms.2011.03.001.

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38

Stavropoulos, Panagiotis, Panagis Foteinopoulos, John Stavridis, and Harry Bikas. "Increasing the industrial uptake of additive manufacturing processes: A training framework." Advances in Industrial and Manufacturing Engineering 6 (May 2023): 100110. http://dx.doi.org/10.1016/j.aime.2022.100110.

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39

Xie, M., T. N. Goh, and D. Q. Cai. "An integrated SPC approach for manufacturing processes." Integrated Manufacturing Systems 12, no. 2 (April 2001): 134–38. http://dx.doi.org/10.1108/09576060110361573.

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40

Mani, Mahesh, Jatinder Madan, Jae Hyun Lee, Kevin W. Lyons, and S. K. Gupta. "Sustainability characterisation for manufacturing processes." International Journal of Production Research 52, no. 20 (February 28, 2014): 5895–912. http://dx.doi.org/10.1080/00207543.2014.886788.

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41

NAKADATE, Hajime, and Yoshinobu TAKEDA. "Metal Powder for AM (Additive Manufacturing) and Manufacturing Processes." Journal of the Japan Society of Powder and Powder Metallurgy 66, no. 11 (November 15, 2019): 539–46. http://dx.doi.org/10.2497/jjspm.66.539.

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42

P. Cooper, Khershed, and Ralph F. Wachter. "Cyber-enabled manufacturing systems for additive manufacturing." Rapid Prototyping Journal 20, no. 5 (August 12, 2014): 355–59. http://dx.doi.org/10.1108/rpj-01-2013-0001.

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Анотація:

Purpose – The purpose of this paper is to study cyber-enabled manufacturing systems (CeMS) for additive manufacturing (AM). The technology of AM or solid free-form fabrication has received considerable attention in recent years. Several public and private interests are exploring AM to find solutions to manufacturing problems and to create new opportunities. For AM to be commercially accepted, it must make products reliably and predictably. AM processes must achieve consistency and be reproducible. Design/methodology/approach – An approach we have taken is to foster a basic research program in CeMS for AM. The long-range goal of the program is to achieve the level of control over AM processes for industrial acceptance and wide-use of the technology. This program will develop measurement, sensing, manipulation and process control models and algorithms for AM by harnessing principles underpinning cyber-physical systems (CPS) and fundamentals of physical processes. Findings – This paper describes the challenges facing AM and the goals of the CeMS program to meet them. It also presents preliminary results of studies in thermal modeling and process models. Originality/value – The development of CeMS concepts for AM should address issues such as part quality and process dependability, which are key for successful application of this disruptive rapid manufacturing technology.

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43

Paul, Brian K., Laine Mears, and Albert Shih. "Teaching Manufacturing Processes from an Innovation Perspective." Procedia Manufacturing 53 (2021): 814–24. http://dx.doi.org/10.1016/j.promfg.2021.06.076.

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44

Bambura, Roman, Marek Šolc, Miroslav Dado, and Luboš Kotek. "Implementation of Digital Twin for Engine Block Manufacturing Processes." Applied Sciences 10, no. 18 (September 21, 2020): 6578. http://dx.doi.org/10.3390/app10186578.

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The digital twin (DT) is undergoing an increase in interest from both an academic and industrial perspective. Although many authors proposed and described various frameworks for DT implementation in the manufacturing industry context, there is an absence of real-life implementation studies reported in the available literature. The main aim of this paper is to demonstrate feasibility of the DT implementation under real conditions of a production plant that is specializing in manufacturing of the aluminum components for the automotive industry. The implementation framework of the DT for engine block manufacturing processes consists of three layers: physical layer, virtual layer and information-processing layer. A simulation model was created using the Tecnomatix Plant Simulation (TPS) software. In order to obtain real-time status data of the production line, programmable logic control (PLC) sensors were used for raw data acquisition. To increase production line productivity, the algorithm for bottlenecks detection was developed and implemented into the DT. Despite the fact that the implementation process is still under development and only partial results are presented in this paper, the DT seems to be a prospective real-time optimization tool for the industrial partner.

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Magsino, Elmer R., and Jay Robert B. del Rosario. "Offline and Simplified Industrial Automation Processes Employing Robotic Manipulators." Applied Mechanics and Materials 446-447 (November 2013): 1250–54. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1250.

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One of the predominant applications of the theories and principles of robotics is in industrial automation particularly in automotive manufacturing. This paper explores some mini-projects related to industrial automation that will help students and even robotics enthusiasts understand the kinematics of each manipulator. These projects can be as simple as following a straight line to as complex as adding machine vision and online intelligence to the robotics manipulator.

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Gliń, Wojciech, Tomasz Nitkiewicz, and Wichai Chattinnawat. "Demand for Competences of Industrial Engineering Graduates in the Context of Automation of Manufacturing Processes." Quality Production Improvement - QPI 1, no. 1 (July 1, 2019): 193–200. http://dx.doi.org/10.2478/cqpi-2019-0026.

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Abstract Automation and robotization is considered to be a key determinant of the development and innovation in manufacturing enterprises. But the scope and range of its implementation is changing due to ongoing fourth industrial revolution towards Industry 4.0. The objective of the paper is to analyze the needs of manufacturing enterprises with regard to automation and robotization but from the perspective of desired competences of Industrial Engineering graduates. To achieve the objective the results of industrial survey are analyzed. The survey was made among Thai and EU companies within the project titled Curriculum Development of Master’s Degree Program in Industrial Engineering for Thailand Sustainable Smart Industry -MSIE4.0. The results show that the requirements towards graduates are changing especially with reference to real-time control of manufacturing process, big data use and mobile devices use to steer and feed with the information the management and manufacturing processes.

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Liu, Tung-Kuan, Yu-Cheng Chou, and Yuan-Tang Wen. "Hybrid evolutionary optimization for nutraceutical manufacturing processes." Journal of Intelligent Manufacturing 28, no. 8 (April 23, 2015): 1933–46. http://dx.doi.org/10.1007/s10845-015-1079-8.

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Jeong, Hwa Young, Yoon Ho Kim, and Young Gi Kim. "CMMI Based System Software Process for Industrial Manufacturing System." Applied Mechanics and Materials 300-301 (February 2013): 77–80. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.77.

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Capability Maturity Model Integrated (CMMI) can be help to evaluate the development processes of manufacturing system software according to qualitative and quantitative development progress when the system developer or engineer design and develop their system. As well known, the development progress for manufacturing system is very complex. In this paper, we identify and make the development model for manufacturing system software. In order to make the efficient the model, we use CMMI process.

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Bendig, Matthias, François Maréchal, and Daniel Favrat. "Defining “Waste Heat” for industrial processes." Applied Thermal Engineering 61, no. 1 (October 2013): 134–42. http://dx.doi.org/10.1016/j.applthermaleng.2013.03.020.

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Macchiaroli, R., S. Mole, and S. Riemma. "Modelling and optimization of industrial manufacturing processes subject to no-wait constraints." International Journal of Production Research 37, no. 11 (July 1999): 2585–607. http://dx.doi.org/10.1080/002075499190671.

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