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Journal articles on the topic 'Complexity Engineering'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Fisk, David. "Engineering complexity." Interdisciplinary Science Reviews 29, no. 2 (2004): 151–61. http://dx.doi.org/10.1179/030801804225012617.

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2

Suh, Nam P. "Complexity in Engineering." CIRP Annals 54, no. 2 (2005): 46–63. http://dx.doi.org/10.1016/s0007-8506(07)60019-5.

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3

Wolfram, Stephen. "Approaches to Complexity Engineering." Physica D: Nonlinear Phenomena 22, no. 1-3 (1986): 385–99. http://dx.doi.org/10.1016/0167-2789(86)90309-x.

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4

Frei, R., and Giovanna Di Marzo Serugendo. "Concepts in complexity engineering." International Journal of Bio-Inspired Computation 3, no. 2 (2011): 123. http://dx.doi.org/10.1504/ijbic.2011.039911.

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5

Frei, R., and Giovanna Di Marzo Serugendo. "Advances in complexity engineering." International Journal of Bio-Inspired Computation 3, no. 4 (2011): 199. http://dx.doi.org/10.1504/ijbic.2011.041144.

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6

Honour, Eric. "Systems Engineering and Complexity." INSIGHT 11, no. 1 (2008): 20–21. http://dx.doi.org/10.1002/inst.200811120.

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7

Ozurumba, Ebubechukwu, and Ifeanyi Princewill Eboh. "Leveraging AI-Driven Decision Intelligence for Systems Engineering Complexity." International Journal of Research Publication and Reviews 5, no. 11 (2024): 4374–89. https://doi.org/10.55248/gengpi.5.1124.3318.

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8

Burgin, M., and N. Debnath. "Complexity measures for software engineering." Journal of Computational Methods in Sciences and Engineering 5, s1 (2005): S127—S143. http://dx.doi.org/10.3233/jcm-2005-5s110.

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9

Sawyer, P. "Managing Complexity in Software Engineering." IEE Review 37, no. 3 (1991): 113. http://dx.doi.org/10.1049/ir:19910048.

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10

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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11

Csete, M. E. "Reverse Engineering of Biological Complexity." Science 295, no. 5560 (2002): 1664–69. http://dx.doi.org/10.1126/science.1069981.

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12

Joshi, Ravindra V., and Chandrashekhar N. ".i – A Complexity Theory based Platform for Model based System Engineering." Webology 19, no. 1 (2022): 3348–57. http://dx.doi.org/10.14704/web/v19i1/web19220.

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Complexity Theory and Complex Adaptive Systems is fast emerging as optimal and efficient design alternative many of the existing technologies to address various functional anon-functional criterion. However, it remains predominantly laboratory resident software. One of the main obstacles to convert it into mainstream is its abstract terminology and black box “emergent” philosophy. In this paper an attempt is made to create a platform on the core foundation of cognitive agent and complex world concepts. The platform can be used to develop industry strength products incorporating complexity theo

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13

Tadevosyan, Karine, Olalla Iglesias-García, Manuel M. Mazo, Felipe Prósper, and Angel Raya. "Engineering and Assessing Cardiac Tissue Complexity." International Journal of Molecular Sciences 22, no. 3 (2021): 1479. http://dx.doi.org/10.3390/ijms22031479.

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Cardiac tissue engineering is very much in a current focus of regenerative medicine research as it represents a promising strategy for cardiac disease modelling, cardiotoxicity testing and cardiovascular repair. Advances in this field over the last two decades have enabled the generation of human engineered cardiac tissue constructs with progressively increased functional capabilities. However, reproducing tissue-like properties is still a pending issue, as constructs generated to date remain immature relative to native adult heart. Moreover, there is a high degree of heterogeneity in the meth

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14

Grogan, Paul T. "Perception of complexity in engineering design." Systems Engineering 24, no. 4 (2021): 221–33. http://dx.doi.org/10.1002/sys.21574.

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15

Engelbrecht, J. "Complexity in engineering and natural sciences." Proceedings of the Estonian Academy of Sciences 64, no. 3 (2015): 249. http://dx.doi.org/10.3176/proc.2015.3.07.

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16

Mampel, Joerg, Joerg Martin Buescher, Guido Meurer, and Juergen Eck. "Coping with complexity in metabolic engineering." Trends in Biotechnology 31, no. 1 (2013): 52–60. http://dx.doi.org/10.1016/j.tibtech.2012.10.010.

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17

France, Robert, and Bernhard Rumpe. "Does model driven engineering tame complexity?" Software & Systems Modeling 6, no. 1 (2007): 1–2. http://dx.doi.org/10.1007/s10270-006-0041-9.

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18

Buscarino, Arturo, Luigi Fortuna, and Mattia Frasca. "Special issue on Complexity in Engineering." Nonlinear Dynamics 92, no. 1 (2018): 1–2. http://dx.doi.org/10.1007/s11071-018-4140-2.

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19

Place, Elsie S., Nicholas D. Evans, and Molly M. Stevens. "Complexity in biomaterials for tissue engineering." Nature Materials 8, no. 6 (2009): 457–70. http://dx.doi.org/10.1038/nmat2441.

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20

ElMaraghy, Waguih, Hoda ElMaraghy, Tetsuo Tomiyama, and Laszlo Monostori. "Complexity in engineering design and manufacturing." CIRP Annals 61, no. 2 (2012): 793–814. http://dx.doi.org/10.1016/j.cirp.2012.05.001.

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21

May, Rob. "Engineering Urban Complexity: Bespoke Integrated Design." Architectural Design 85, no. 6 (2015): 104–9. http://dx.doi.org/10.1002/ad.1986.

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22

Sheard, Sarah A. "5.2.1 Systems Engineering Complexity in Context." INCOSE International Symposium 23, no. 1 (2013): 1145–58. http://dx.doi.org/10.1002/j.2334-5837.2013.tb03077.x.

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23

Paz-Penagos, Hernan, and Carlos Andrés Pérez-Tristancho. "Engineering design, complexity in its teaching." DYNA 89, no. 222 (2022): 28–37. http://dx.doi.org/10.15446/dyna.v89n222.101827.

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The trend toward increasing the design component in engineering curricula is part of an effort to better prepare graduates for engineering practice. The objective of the article is to review and contrast some methodological strategies of engineering design teaching at the university level to analyze the psychological theories in teaching practice and the temporal location of these courses within 5 years of the program. The results of the bibliographic review made allowed us to infer psychological postures, preferably cognitive and constructivist, and the location of design courses in the first

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24

Liu, Chenli, Chao Tang, Leihan Tang, and Qi Ouyang. "Quantifying to simplicity, engineering to complexity: Quantitative engineering biology." Chinese Science Bulletin 66, no. 3 (2021): 261–63. http://dx.doi.org/10.1360/tb-2020-1165.

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25

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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26

Sinha, Kaushik, and Olivier L. de Weck. "Empirical Validation of Structural Complexity Metric and Complexity Management for Engineering Systems." Systems Engineering 19, no. 3 (2016): 193–206. http://dx.doi.org/10.1002/sys.21356.

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27

Kreinovich, Vladik. "Engineering Design under Imprecise Probabilities: Computational Complexity." Cubo (Temuco) 13, no. 1 (2011): 103–23. http://dx.doi.org/10.4067/s0719-06462011000100007.

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28

Munro, A. T. "Book review: Managing Complexity in Software Engineering." Computing & Control Engineering Journal 2, no. 2 (1991): 60. http://dx.doi.org/10.1049/cce:19910015.

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29

EL-HAIK, BASEM, and KAI YANG. "The components of complexity in engineering design." IIE Transactions 31, no. 10 (1999): 925–34. http://dx.doi.org/10.1080/07408179908969893.

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30

Calvano, C. N., and P. John. "Systems engineering in an age of complexity." IEEE Engineering Management Review 32, no. 4 (2004): 29–38. http://dx.doi.org/10.1109/emr.2004.25134.

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31

Sorek, Rotem, and Luis Serrano. "Bacterial genomes: from regulatory complexity to engineering." Current Opinion in Microbiology 14, no. 5 (2011): 577–78. http://dx.doi.org/10.1016/j.mib.2011.09.006.

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32

Ogle, Brenda M., Nenad Bursac, Ibrahim Domian, et al. "Distilling complexity to advance cardiac tissue engineering." Science Translational Medicine 8, no. 342 (2016): 342ps13. http://dx.doi.org/10.1126/scitranslmed.aad2304.

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33

Brooks, Sam, and Rajkumar Roy. "A Complexity Framework for Self-Engineering Systems." Smart and Sustainable Manufacturing Systems 4, no. 3 (2020): 20200059. http://dx.doi.org/10.1520/ssms20200059.

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34

Marin, Guy B., and Gregory S. Yablonsky. "Editorial Overview: Time, Complexity, and Chemical Engineering." Current Opinion in Chemical Engineering 21 (September 2018): iv—v. http://dx.doi.org/10.1016/j.coche.2018.11.005.

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35

Sheard, Sarah A., and Ali Mostashari. "7.3.1 A Complexity Typology for Systems Engineering." INCOSE International Symposium 20, no. 1 (2010): 933–45. http://dx.doi.org/10.1002/j.2334-5837.2010.tb01115.x.

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36

Calvano, Charles N., and Philip John. "Systems engineering in an age of complexity." Systems Engineering 7, no. 1 (2003): 25–34. http://dx.doi.org/10.1002/sys.10054.

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37

Brown, Alan S. "Simplifying Complexity-Again." Mechanical Engineering 126, no. 03 (2004): 43–45. http://dx.doi.org/10.1115/1.2004-mar-5.

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This article focuses on the advantages of technology over manual intervention. Products are made to order in a process that spawns a stream of changes to CAD drawings, technical specifications, bills of materials, assembly instructions, and other documents. The secret of Swagelok’s success is workflow software, which helps automate and manage repetitive business processes, such as engineering change orders, document revision, review, and design release. It lets a computer automatically route drawings and documents to every person who needs them. Workflow software creates a single system for ga

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38

Foley, Joseph T., Lindy Puik, Erik Puik, Joseph Smith, and David S. Cochran. "Complexity in the Kitchen." MATEC Web of Conferences 301 (2019): 00007. http://dx.doi.org/10.1051/matecconf/201930100007.

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Axiomatic Design and Complexity theory are often applied to highly complex and technological systems which provide educators with many engineering examples and case studies. The use of Axiomatic Design is applicable outside of these areas. However, there are not many examples outside of these areas. As a result, students often have trouble understanding the breadth and impact of Axiomatic Design’s application to problem-solving. One large complex system that is often overlooked is that of the kitchen. In this paper, we present different food-related preparation tasks that are inherently comple

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39

Armen, Harry, Shannon Flumerfelt, Gary P. Halada, and Franz-Josef Kahlen. "Complexity and Consequence." Mechanical Engineering 133, no. 12 (2011): 46–49. http://dx.doi.org/10.1115/1.2011-dec-6.

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This article discusses different reasons of failure of engineering systems and how such failures can be avoided. It is human nature and economically attractive to discount the low-probability, high-severity consequences in the design and development of complex systems. Discounting or ignoring the effects of worst-case scenarios, however, can lead to a culture of complacency that heightens risks. Failure due to poor development can be traced to a lack of organizational commitment to systems thinking. An example of this is a lack of communications between designers and end users. System designed

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40

Ronaldson-Bouchard, Kacey, Ilaria Baldassarri, Daniel Naveed Tavakol, et al. "Engineering complexity in human tissue models of cancer." Advanced Drug Delivery Reviews 184 (May 2022): 114181. http://dx.doi.org/10.1016/j.addr.2022.114181.

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41

MIr'atul Khusna, Mufida, Sophie Dupuy-Chessa, and Gaëlle Calvary. "Mastering Model Driven Engineering complexity by interactive visualization." Techniques et sciences informatiques 35, no. 2 (2016): 175–202. http://dx.doi.org/10.3166/tsi.35.175-202.

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42

Aguilar-Arias, Jaime, and Astrid Altamar-Consuegra. "Chemical engineering and complexity, an undissipated structure...yet." Brazilian Applied Science Review 4, no. 3 (2020): 1947–63. http://dx.doi.org/10.34115/basrv4n3-096.

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43

Selbe, Shah. "Future Systems Engineering and the Role of Complexity." World Futures Review 1, no. 2 (2009): 39–49. http://dx.doi.org/10.1177/194675670900100207.

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44

Masior, Jonathan, Benjamin Schneider, Mehmet Kürümlüoglu, and Oliver Riedel. "Beyond Model-Based Systems Engineering towards Managing Complexity." Procedia CIRP 91 (2020): 325–29. http://dx.doi.org/10.1016/j.procir.2020.02.183.

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45

Heintz, Joos, Bart Kuijpers, and Andrés Rojas Paredes. "Software Engineering and complexity in effective Algebraic Geometry." Journal of Complexity 29, no. 1 (2013): 92–138. http://dx.doi.org/10.1016/j.jco.2012.04.005.

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46

Chin, Matthew H. W., Eileen Gentleman, Marc-Olivier Coppens, and Richard M. Day. "Rethinking Cancer Immunotherapy by Embracing and Engineering Complexity." Trends in Biotechnology 38, no. 10 (2020): 1054–65. http://dx.doi.org/10.1016/j.tibtech.2020.05.003.

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47

Kryvinska, Natalia, Thomas J. Hacker, Fatos Xhafa, and Michael Alexander. "Flexible Complexity Management and Engineering by Innovative Services." Global Journal of Flexible Systems Management 15, no. 1 (2014): 1–3. http://dx.doi.org/10.1007/s40171-013-0056-3.

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48

Wang, DaZhou. "Complexity and ecological perspective of engineering value creation." Journal of Engineering Studies 14, no. 1 (2022): 17–18. http://dx.doi.org/10.3724/j.issn.1674-4969.22092008.

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49

PETRI, R. "Dealing with complexity: evolutionary engineering and genome shuffling." Current Opinion in Biotechnology 15, no. 4 (2004): 298–304. http://dx.doi.org/10.1016/j.copbio.2004.05.005.

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50

Sheard, Sarah A., and Ali Mostashari. "6.2.1 Complexity Types: From Science to Systems Engineering." INCOSE International Symposium 21, no. 1 (2011): 673–82. http://dx.doi.org/10.1002/j.2334-5837.2011.tb01235.x.

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