Methodological Classification of Innovative Engineering Projects

In this chapter we report on and discuss our empirical classification of innovative engineering projects. Basic innovative engineering projects are characterized by their overall goal and accompanying method. On the basis of this goal and method, we classify engineering projects as all falling in one of the following categories: (1) Descriptive knowledge as prevalent in the descriptive sciences; (2) Design of artefacts and processes; (3) Engineering Means-end knowledge; (4) Modeling (simulation serious gaming included); (5) Engineering optimization; and (6) Engineering mathematics. These categories are illustrated with examples drawn from our educational experiences. Formally our classification system is a partition: the categories are mutually exclusive and collectively exhaustive. Regarding its empirical power, we claim intra-departmental completeness for the projects that we have studied at the Departments of Mechanics and Applied Physics of Delft University of Technology; we hypothesize intra-academic completeness within Universities of Technology; and we hope for and encourage investigating extra-academic completeness regarding engineering in industry. Besides having significant consequences for the methodology of the engineering sciences, our categorization provides a new way to study empirically the relation between science and technology.

[1]  James Austin Laboratory life: The social construction of scientific facts: by Bruno Latour and Steve Woolgar. Sage, Beverly Hills, CA, 1979. , 1982 .

[2]  Nigel Cross,et al.  Engineering Design Methods: Strategies for Product Design , 1994 .

[3]  Walter Guido Vincenti,et al.  What Engineers Know and How They Know It: Analytical Studies from Aeronautical History by Walter G. Vincenti , 1992, Technology and Culture.

[4]  Vladimir Hubka,et al.  Design science : introduction to needs, scope and organization of engineering design knowledge , 1996 .

[5]  E. Bright Wilson,et al.  An Introduction to Scientific Research , 1953 .

[6]  A. D. D. Groot,et al.  Methodology: Foundations of inference and research in the behavioral sciences , 1969 .

[7]  E. Layton Technology as Knowledge , 2023 .

[8]  Wn Wybo Houkes,et al.  THE NATURE OF TECHNOLOGICAL KNOWLEDGE , 2009 .

[9]  Alan R. Hevner,et al.  The Three Cycle View of Design Science , 2007, Scand. J. Inf. Syst..

[10]  Wei Tong,et al.  Mechanical Design of Electric Motors , 2014 .

[11]  Marc J. de Vries Engineering science as a "Discipline of the particular"? : types of generalization in engineering sciences , 2009 .

[12]  P. Kroes,et al.  Substantive and Procedural Contexts of Engineering Design , 2015 .

[13]  Dennis G. Zill,et al.  Advanced Engineering Mathematics , 2021, Technometrics.

[14]  B. Latour,et al.  Laboratory Life: The Social Construction of Scientific Facts , 1983 .

[15]  N. F. M. Roozenburg,et al.  Product design: Fundamentals and methods , 1996 .

[16]  Brigitte Moench,et al.  Engineering Design A Systematic Approach , 2016 .

[17]  de Vries,et al.  80 Years of Research at the Philips Natuurkundig Laboratorium (1914-1994) , 2006 .

[18]  B. V. Koen,et al.  Discussion of the Method : Conducting the Engineer's Approach to Problem Solving , 2003 .

[19]  Sjoerd D. Zwart,et al.  Science after the practice turn in the philosophy, history, and social studies of science , 2014 .

[20]  I. Niiniluoto The aim and structure of applied research , 1993 .

[21]  Sheri Sheppard,et al.  What is Engineering Practice , 2006 .

[22]  Walter G. Vincenti,et al.  What Engineers Know and How They Know It: Analytical Studies from Aeronautical History. , 1992 .

[23]  C. D. Mote,et al.  Optimization methods for engineering design , 1971 .

[24]  Edward V. Krick,et al.  An introduction to engineering and engineering design , 1969 .

[25]  A.W.M. Meijers,et al.  Philosophy of technology and engineering sciences , 2009 .

[26]  Anette Kolmos,et al.  Characteristics of Problem-Based Learning , 2003 .

[27]  Barnett F. Dodge An introduction to engineering and engineering design, Second Edition, Edward V. Krick, John Wiley & Sons, Inc., New York, $7.50. 220 pages , 1969 .

[28]  John W. Creswell,et al.  Research Design: Qualitative, Quantitative, and Mixed Methods Approaches , 2010 .

[29]  M. Black Models and metaphors : studies in language and philosophy , 1962 .

[30]  Eric Winsberg,et al.  Science in the Age of Computer Simulation , 2010 .

[31]  Peter Kroes,et al.  The Empirical Turn in the Philosophy of Technology , 2000 .