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Journal articles on the topic 'System design. Engineering design'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Abhyankar, Kushal, and Subhashini Ganapathy. "Technology-Enhanced Learning Analytics System Design for Engineering Education." International Journal of Information and Education Technology 4, no. 4 (2014): 345–50. http://dx.doi.org/10.7763/ijiet.2014.v4.427.

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2

Japikse, David. "Agile Engineering Design System." Proceedings of the Fluids engineering conference 2003 (2003): 59. http://dx.doi.org/10.1299/jsmefed.2003.59.

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3

Militello, Laura G., Gavan Lintern, Cynthia O. Dominguez, and Gary Klein. "Cognitive Systems Engineering for System Design." INSIGHT 12, no. 1 (2009): 11–14. http://dx.doi.org/10.1002/inst.200912111.

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4

hashemi, Seyed mehdi golestan, bijan khaiambashi, alireza mansoorian, and Maryam heidari. "Presenting a Consolidated Model of Bionic Product Design Engineering and Systems Engineering, New Approach in Product Design Engineering." International Academic Journal of Science and Engineering 05, no. 02 (2018): 111–24. http://dx.doi.org/10.9756/iajse/v5i1/1810030.

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5

Krus, Petter. "1.5.2 Systems Engineering in Aircraft System Design." INCOSE International Symposium 11, no. 1 (2001): 723–28. http://dx.doi.org/10.1002/j.2334-5837.2001.tb02363.x.

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6

TANISHITA, Kazuo, Koichi HISHIDA, Akira ONO, and Motoyuki AKAMATSU. "System design engineering and Synthesiology." Synthesiology 2, no. 1 (2009): 69–74. http://dx.doi.org/10.5571/synth.2.69.

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7

Saito, Norifumi. "Engineering Ethics and System Design." Journal of the Japan Institute of Metals 66, no. 12 (2002): 1253–63. http://dx.doi.org/10.2320/jinstmet1952.66.12_1253.

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8

Aguilar, Ronald J. "7.5.2 RAPID PROCESS DESIGN A SYSTEM ENGINEERING DESIGN METHOD." INCOSE International Symposium 5, no. 1 (1995): 993–97. http://dx.doi.org/10.1002/j.2334-5837.1995.tb01968.x.

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9

Yang, Quangang, and Carl Reidsema. "AN INTEGRATED INTELLIGENT DESIGN ADVISOR SYSTEM IN ENGINEERING DESIGN." Cybernetics and Systems 37, no. 6 (2006): 609–34. http://dx.doi.org/10.1080/01969720600734644.

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10

Gualtieri, James W., Samantha Szymczak, and William C. Elm. "Cognitive System Engineering - Based Design: Alchemy or Engineering." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 3 (2005): 254–58. http://dx.doi.org/10.1177/154193120504900309.

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Cognitive Systems Engineering (CSE) techniques are widely used for the description and analysis of the sources of cognitive complexity and explicating the basis of expertise within a work domain. However, the results of the CSE techniques often focus on work analysis and are only weakly coupled to the design of decision support systems that are built based on those analyses. In fact, some within the CSE community have suggested that such a design epiphany occurs as if by magic. If CSE is to be treated as an engineering discipline, it cannot rely on magic to create systems. The approach describ

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11

Cline, Terry, Harold Abelson, and Warren Harris. "Symbolic computing in engineering design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 3, no. 3 (1989): 195–206. http://dx.doi.org/10.1017/s0890060400001220.

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Computer programs that combine traditional numeric methods with symbolic algebra and with specific knowledge of application-based techniques can provide new levels of computational support for engineering design. We illustrate this with a computer-based ‘control engineer’s assistant’. Although this program is focussed on control system design, it demonstrates techniques that should be widely applicable across many engineering disciplines. In particular, we show how, with symbolic computing, a computer-aided design system can usefully simulate engineering models early in the design process, bef

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12

Eggleston, Robert G. "Work-Centered Design: A Cognitiive Engineering Approach to System Design." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 47, no. 3 (2003): 263–67. http://dx.doi.org/10.1177/154193120304700303.

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13

Howard, H. Craig, Jenmu Wang, Francois Daube, and Taufiq Rafiq. "Applying design-dependent knowledge in structural engineering design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 3, no. 2 (1989): 111–23. http://dx.doi.org/10.1017/s0890060400001141.

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Recent knowledge-based expert systems for structural engineering design have focused on design-independent knowledge (abstract reasoning rules for designing), and while great strides have been made in that area, there is still a significant need to develop systems to take advantage of the wealth of knowledge contained in every substantial structural design. On the other hand, previous database-oriented design efforts have focused primarily on knowledge-poor databases of solutions, in which the traditional engineering handbook of solutions has simply been replaced by digital data. The challenge

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14

Liang, Di, and Li Li Wang. "Teaching System Design of “Systems Engineering” Curriculum in Industrial Engineering." Advanced Materials Research 271-273 (July 2011): 1488–92. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.1488.

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This paper is concerned with teaching system construction of “systems engineering” curriculum according to the characteristics and developing trend of industrial engineering. The teaching emphases, difficulty and solution of this curriculum are analyzed together with the target determination and knowledge model constitution, specialized in the research on practice teaching method. At last, teaching system with systematic thinking is obtained.

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15

Specking, Eric, Nicholas Shallcross, Gregory S. Parnell, and Edward Pohl. "Quantitative Set-Based Design to Inform Design Teams." Applied Sciences 11, no. 3 (2021): 1239. http://dx.doi.org/10.3390/app11031239.

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System designers, analysts, and engineers use various techniques to develop complex systems. A traditional design approach, point-based design (PBD), uses system decomposition and modeling, simulation, optimization, and analysis to find and compare discrete design alternatives. Set-based design (SBD) is a concurrent engineering technique that compares a large number of design alternatives grouped into sets. The existing SBD literature discusses the qualitative team-based characteristics of SBD, but lacks insights into how to quantitatively perform SBD in a team environment. This paper proposes

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16

White, K. Preston. "Systems design engineering." Systems Engineering 1, no. 4 (1998): 285–302. http://dx.doi.org/10.1002/(sici)1520-6858(1998)1:4<285::aid-sys4>3.0.co;2-e.

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17

YIE, Zhengguang, Hiroshi TAKAHARA, Yukihiro MATSUBARA, and Mitsuo NAGAMACHI. "KANSEI engineering and design support system." Japanese journal of ergonomics 28, Supplement (1992): 322–23. http://dx.doi.org/10.5100/jje.28.supplement_322.

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18

Oikawa, Kenichi, Hiroshi Takada, Fujio Maekawa, Masahide Harada, Masatoshi Futakawa, and Yujiro Ikeda. "Engineering design of JSNS shutter system." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 600, no. 1 (2009): 84–86. http://dx.doi.org/10.1016/j.nima.2008.11.059.

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19

Efatmaneshnik, Mahmoud, and Carl Reidsema. "A COMPLEX SYSTEM ENGINEERING DESIGN MODEL." Cybernetics and Systems 41, no. 8 (2010): 554–76. http://dx.doi.org/10.1080/01969722.2010.520212.

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20

Amrollahi, R., D. Iraji, M. Ghasemi, et al. "Alborz tokamak system engineering and design." Fusion Engineering and Design 141 (April 2019): 91–100. http://dx.doi.org/10.1016/j.fusengdes.2019.02.111.

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21

Basyoni, Marwa Sayed Salem, Mona Sayed Salem Basyoni, and Kawther Al-Dhlan. "Design, Sizing and Implementation of a PV System for Powering a Living Room." International Journal of Engineering Research and Science 3, no. 5 (2017): 64–68. http://dx.doi.org/10.25125/engineering-journal-ijoer-may-2017-23.

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22

Specking, Eric, Gregory Parnell, Edward Pohl, and Randy Buchanan. "Early Design Space Exploration with Model-Based System Engineering and Set-Based Design." Systems 6, no. 4 (2018): 45. http://dx.doi.org/10.3390/systems6040045.

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Adequately exploring the tradespace in the early system design phase is important to determine the best design concepts to pursue in the next life cycle stage. Tradespace exploration (TSE) often uses trade-off analysis. Set-based design (SBD) methods, compared to traditional point-based design, explore significantly more designs. An integrated framework with model-based system engineering (MBSE) and a life cycle cost model enables design evaluation in near real-time. This study proposes an early design phase SBD methodology and demonstrates how SBD enabled by an integrated framework with MBSE

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23

Valenti, Michael. "Re-Engineering Aerospace Design." Mechanical Engineering 120, no. 01 (1998): 70–72. http://dx.doi.org/10.1115/1.1998-jan-5.

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This article reviews that by integrating its CAD/CAM tools, Boeing’s Space Systems Unit hopes to enhance the quality of its products as it reduces both design- and manufacturing-cycle times. Sharper market competition led management to re-emphasize the practice and couple it with integrated CAD/CAM systems to provide a more supportive environment for concurrent engineering, thereby assuring the customer that cost, schedule, and quality goals would be met. This concept, called integrated product development (IPD), was launched in 1991. Boeing’s intention is to use the IPD strategy to reduce des

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24

MAUW, S., W. T. WIERSMA, and T. A. C. WILLEMSE. "LANGUAGE-DRIVEN SYSTEM DESIGN." International Journal of Software Engineering and Knowledge Engineering 14, no. 06 (2004): 625–63. http://dx.doi.org/10.1142/s0218194004001828.

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Studies have shown significant benefits of the use of Domain-Specific Languages (DSL) in software engineering. We discuss a software engineering methodology that fully exploits these benefits. The methodology, called the Language-Driven Approach (LDA), is centred around the design of a DSL. It prescribes a staged development of a DSL, which is tailored to the system-under-construction. On the basis of a domain analysis, a formal definition of the problem is obtained. This formal problem definition contains all the relevant ingredients for designing the syntax, the semantics and the pragmatics,

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25

Baker, Loyd. "SYSTEM ENGINEERING: COMMUNICATING FROM A SYSTEM DESIGN DATABASE." INCOSE International Symposium 4, no. 1 (1994): 860–67. http://dx.doi.org/10.1002/j.2334-5837.1994.tb01802.x.

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26

Flumerfelt, Shannon, Gary Halada, and Franz-Josef Kahlen. "Complexity by Design." Mechanical Engineering 134, no. 03 (2012): 29–33. http://dx.doi.org/10.1115/1.2012-mar-1.

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This article discusses various engineering revolutions taking place to deal with challenges of complex systems’ design. Engineers who design complex systems have to understand how the various components of a system fit together and anticipate how the interactions between these components could lead to failure. The development of sophisticated expert system software that can provide rapid and intuitive access to vast amounts of data on materials and design features of available components also enables an individual engineer to tap into the expertise of many others. Adaptive risk management stru

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27

Huang, Jia-Yen, and Shih-Tian Siao. "Development of an integrated bionic design system." Journal of Engineering, Design and Technology 14, no. 2 (2016): 310–27. http://dx.doi.org/10.1108/jedt-08-2014-0057.

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Purpose This paper aims to propose an integrated bionic optimal design system to assist engineers in bionic design tasks. In this age of ecological awareness and sustainability, engineers are increasingly applying bionics to their product designs. A recent surge of research on bionics has presented new opportunities and challenges. To deal with these challenges, an integrated design system equipped with the capabilities of conducting biologically inspired design, solving technical contradictions, optimizing design parameters and verifying design effectiveness is required. Design/methodology/ap

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28

Kim, Wan Kyoo, Min Gil Park, and Myeong Ki Han. "Design of a Framework for Support System of Ship Design Engineering." Journal of the Korean Institute of Information and Communication Engineering 16, no. 10 (2012): 2316–22. http://dx.doi.org/10.6109/jkiice.2012.16.10.2316.

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29

Cook, H. E., and M. R. Gill. "On system design." Research in Engineering Design 4, no. 4 (1992): 215–26. http://dx.doi.org/10.1007/bf02032465.

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30

Koren, Yoram. "Control system design." Mechanical Systems and Signal Processing 1, no. 3 (1987): 315. http://dx.doi.org/10.1016/0888-3270(87)90108-7.

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31

Kikuchi, Souichi, Shinji Oota, Tomoaki Shikakura, and Hideki Tashima. "Lighting Design System." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 81, Appendix (1997): 144. http://dx.doi.org/10.2150/jieij1980.81.appendix_144.

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32

Mohebbi, Abolfazl, Sofiane Achiche, and Luc Baron. "DESIGN OF A VISION GUIDED MECHATRONIC QUADROTOR SYSTEM USING DESIGN FOR CONTROL METHODOLOGY." Transactions of the Canadian Society for Mechanical Engineering 40, no. 2 (2016): 201–19. http://dx.doi.org/10.1139/tcsme-2016-0016.

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Designing mechatronic systems is known to be both a very complex and tedious process. This complexity is due to the high number of system components, their multi-physical aspects, the couplings between different engineering domains and the interacting and/or conflicting design objectives. Due to this inherent complexity and the dynamic coupling between subsystems of mechatronic systems, a systematic and multi-objective design approach is needed to replace the traditionally used sequential design methods. The traditional approaches usually lead to functional but non optimal designs solutions. I

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33

Koskinen, K. "Computer Aided Design System for Instrumentation Engineering." IFAC Proceedings Volumes 18, no. 8 (1985): 311–14. http://dx.doi.org/10.1016/s1474-6670(17)60387-2.

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34

Matsubara, Yukihiro, and Mitsuo Nagamachi. "Hybrid Kansei engineering system and design support." International Journal of Industrial Ergonomics 19, no. 2 (1997): 81–92. http://dx.doi.org/10.1016/s0169-8141(96)00005-4.

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35

Whitehead, J. "Cellular system design: An emerging engineering discipline." IEEE Communications Magazine 24, no. 2 (1986): 8–15. http://dx.doi.org/10.1109/mcom.1986.1093019.

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36

Hamad, Husam, Mohammed T. Simsim, Awad Al Zaben, and Rami J. Oweis. "Minimum bias metamodels in engineering system design." International Journal of Engineering Systems Modelling and Simulation 8, no. 3 (2016): 227. http://dx.doi.org/10.1504/ijesms.2016.077663.

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37

Dix, T. R. "An Engineering Approach to Ventilation System Design." Indoor and Built Environment 9, no. 2 (2000): 75–86. http://dx.doi.org/10.1177/1420326x0000900203.

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38

Nishimura, Kiyohiko, Keisuke Matsuoka, Masami Fujiwara, et al. "Compact Helical System Physics and Engineering Design." Fusion Technology 17, no. 1 (1990): 86–100. http://dx.doi.org/10.13182/fst90-a29173.

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39

Mindlin, H., and S. H. Smith. "Data base system considerations in engineering design." Engineering with Computers 4, no. 1-2 (1988): 19–26. http://dx.doi.org/10.1007/bf01201469.

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40

Savageau, Michael A. "Biomedical Engineering Strategies in System Design Space." Annals of Biomedical Engineering 39, no. 4 (2011): 1278–95. http://dx.doi.org/10.1007/s10439-010-0220-2.

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41

Yin, Wensheng. "Assembly design system based on engineering connection." Frontiers of Mechanical Engineering 11, no. 4 (2016): 423–32. http://dx.doi.org/10.1007/s11465-016-0382-1.

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42

Tan, Chee Fai, V. K. Kher, and S. S. S. Ranjit. "An Interactive System for Concurrent Engineering Design." Applied Mechanics and Materials 313-314 (March 2013): 990–94. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.990.

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The methods in delivering engineering design have gone through evolvement where the effectiveness of conventional methods is decreasing. However, the importance of concurrent engineering design approach has tremendously increased due to the ever competitive world today. This is the reason why engineering designers are concern about the methods of delivering design and one of the recent interests is using interactive system to deliver design. In this paper, the construction of interactive system will be discussed followed by the experimental setup. Experiments will be conducted in the form of p

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43

SUZUKI, KEI. "System LSIs. Design Methodology and Design Environment for System LSIs." Journal of the Institute of Electrical Engineers of Japan 120, no. 3 (2000): 148–51. http://dx.doi.org/10.1541/ieejjournal.120.148.

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44

Tu, Jian, Kyung K. Choi, and Young H. Park. "Design Potential Method for Robust System Parameter Design." AIAA Journal 39, no. 4 (2001): 667–77. http://dx.doi.org/10.2514/2.1360.

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45

Kim, S. J., N. P. Suh, and S. G. Kim. "Design of Software System Based on Axiomatic Design." CIRP Annals 40, no. 1 (1991): 165–70. http://dx.doi.org/10.1016/s0007-8506(07)61959-3.

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46

Kuala, Seri Intan, Novita Dwi Susanti, Yusnan Hasani Siregar, Aidil Haryanto, and Galih Riyan Basuki. "Engineering Design, Performance Test and Cost Analysis of Nutrition Mixer." TEKNIK 42, no. 1 (2020): 1–9. http://dx.doi.org/10.14710/teknik.v42i1.24800.

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At present mixing of nutrients in the hydroponic is still done manually (ineffective and inefficient). For that we need a tool that can mix plant nutrients equipped with a system that regulates the amount of solute (Total Dissolved Solid, TDS with ppm units) and agitator. The design consist of structural and functional, construction, testing and cost analysis. The results obtained dimensions of 0,85 m x 0,55 m x 1,55 m, consisting of a reservoir, container nutrition with a capacity of 100 liters equipped with agitators driven by a 45 watt DC motor. The performance of the electrical system is c

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47

Zhang, Abraham. "Quality improvement through Poka-Yoke: from engineering design to information system design." International Journal of Six Sigma and Competitive Advantage 8, no. 2 (2014): 147. http://dx.doi.org/10.1504/ijssca.2014.064260.

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48

Czajkowski, Waldemar. "Social Utopias and Engineering Design." Multidisciplinary Aspects of Production Engineering 3, no. 1 (2020): 570–83. http://dx.doi.org/10.2478/mape-2020-0048.

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AbstractA paradox of our time is identified: on the one hand – the development of one global system (ecological, technological and social), on the other hand – the still increasing “balkanization” of science. The dynamics of this systems is a source of well-known numerous global problems. Its possibly effective solution needs adequate knowledge about the system. For this reason, counteraction to “balkanization” of science is of great practical importance. And this counteraction should comprise not only development of “transboundary” sciences (such as biochemistry or social psychology) but also

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49

Kuokka, Daniel, Stanley Jefferson, Lee Barford, and Felix Frayman. "A parametric design assistant for concurrent engineering." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 9, no. 2 (1995): 135–44. http://dx.doi.org/10.1017/s0890060400002171.

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AbstractThe Explorer parametric design assistant, an interactive tool that provides intelligent support for searching concurrent-engineering trade-spaces under multiple, conflicting objectives, is described. The system provides a convenient means for specifying multiple, cross-disciplinary constraints in terms of tables, formulas, and logical sentences. Based on these data, the system performs interactive constraint checking, computes feasible designs, and provides graphical analysis facilities, allowing users to compare designs based on multiple criteria. As a first application, Explorer has

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50

Benabdellah, Abla Chaouni, Asmaa Benghabrit, and Imane Bouhaddou. "Complexity drivers in engineering design." Journal of Engineering, Design and Technology 18, no. 6 (2020): 1663–90. http://dx.doi.org/10.1108/jedt-11-2019-0299.

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Purpose In the era of industry 4.0, managing the design is a challenging mission. Within a dynamic environment, several disciplines have adopted the complex adaptive system (CAS) perspective. Therefore, this paper aims to explore how we may deepen our understanding of the design process as a CAS. In this respect, the key complexity drivers of the design process are discussed and an organizational decomposition for the simulation of the design process as CAS is conducted. Design/methodology/approach The proposed methodology comprises three steps. First, the complexity drivers of the design proc

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