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Technology of Applied Systems Analysis
Published in F. P. Tarasenko, Applied Systems Analysis, 2020
Morphological analysis generates a large number of alternatives. After all, alternatives can differ by at least one value. Consequently, the number N of alternatives is Пmj ni, where m is the number of qualities; nj is the number of grades of the jth quality; N easily reaches many thousands for a single act of analysis. The care of the specialists will subsequently decide which of these alternatives deserve to be implemented; and participants in the morphological analysis have only one concern, that is, to offer as many options as possible. The advantage of morphological analysis is the possibility of its implementation by one person.
Morphological Analysis of Activity
Published in Gregory Z. Bedny, Inna S. Bedny, Work Activity Studies Within the Framework of Ergonomics, Psychology, and Economics, 2019
Gregory Z. Bedny, Inna S. Bedny
The main purpose of morphological analysis is to transfer the ambiguous qualitative description of a complex system into a clearly structured one. Morphological analysis is a general method for non-quantified modeling of various objects. The morphological approach identifies the parameters or dimensions of a complex problem or system. Each parameter can have a range of relevant values or conditions. These data can be presented as a table or special matrix. Suppose, for example, that there is a system that consists of three dimensions that have different values. The number of values for various parameters might not be the same. Such data can be presented as a Zwicky box or as a matrix (see Table 6.1).
Concept Development and Selection
Published in Ali Jamnia, Introduction to Product Design and Development for Engineers, 2018
“Morphological analysis is simply an ordered way of looking at things,” as defined by its founder, Fritz Zwicky (quoted from Ritchey 1998). The term morphology has its roots in the Greek terms morphe and -logy, meaning study of form and/or shapes. To be simplistic about this approach, the design engineer studies the evolution of a particular design (i.e., how its shape transforms from earlier concepts to more developed ones). A good example of this study may be the progression of early automobiles, which were nothing more than horseless carriages, to the shapes of the 1960s (looking like airplanes), to some of the futuristic cars that do not have steering wheels. Another example may be made of an instrument clip that is used in either orthopedic surgical toolkits or dental instrument cassettes. These cassettes are typically used to manage a set of instruments used for a particular clinical procedure. Once the procedure is completed, the instruments are returned to the cassette, which is used to wash and sterilize them. At times, clips are used to hold these instruments in place in order to prevent them from moving or rattling in place and possibly damaging other instruments. Figure 9.12a shows a progression of three different clips in a cassette, and Figure 9.12b shows the clips alone. The disadvantage of the first design is that it is held in place by a pin. As such, a cassette may not be easily configured for different instruments. This problem is solved by the middle design, which enables the clinician to move the clip around. However, the drawbacks of this design are twofold. First, the geometry is such that it can accommodate only a limited range of instrument thicknesses, and second, there is a risk of the clinician cutting his/her finger on the sharp front edge of this instrument. Both of these drawbacks have been resolved in the third embodiment, where the longer arm of the clip as well as the larger back diameter allow a larger range of instruments be used, and a curved front end removes the risk of any injuries.
The complexity of value of travel time for self-driving vehicles – a morphological analysis
Published in Transportation Planning and Technology, 2021
Maria Nordström, Albin Engholm
A morphological analysis can be seen as a structuring tool that allows for systematic identification and structuring of all possible aspects of a solution to a complex problem (Álvarez and Ritchey 2015). The starting point of the analysis is formulating the problem and identifying the parameters and possible states per parameter that represent the components and possible outcomes of the situation. This yields a full problem space, the so-called morphological box that contains all possible solutions. In our case, each of these solutions represents one SDV mobility concept. Usually, the analysis results in a final solution space, which includes all solutions that are logically and empirically consistent. However, the aim of this paper is not to apply morphological analysis to identify all the final or the ‘best solutions’, i.e. the most probable or desirable scenarios. Neither is it to lay out the specifications for all future self-driving vehicle concepts in detail. Rather, we strive to showcase the diversity of possible self-driving vehicle applications and the complexity of modelling a VTT for these applications.
Study on product form design via Kansei engineering and virtual reality
Published in Journal of Engineering Design, 2022
It is necessary to deconstruct the form elements of products while researching product form design to establish the corresponding relationship between each product element and the user’s perceptual image. Morphological analysis (Álvarez and Ritchey 2015) is a common method for product morphology research, which deconstructs a complex form system into several independent elements first, then finds out the shapes or means that may realise each element, and finally, the elements and possible forms or means are arranged and combined to create a new design scheme. The purpose of morphological analysis is to deconstruct and encode the elements of the product form, the rationality of which will affect the accuracy of the effective prediction model (Chen and Cheng 2021).
A decision-making method for complex system design in a heterogeneous language information environment
Published in Journal of Engineering Design, 2021
Guan Wang, Lingjiu Wu, Yusheng Liu, Xiaoping Ye
A structured morphological matrix is shown in Table 1. The left vertical axis is the functional component (FC) decomposed from the main function of the product. Each row indicates that the solution principles (SPs) of the corresponding functional component can be achieved. The morphological analysis method is used to systematically search the conceptual framework of the system by trying all possible combinations of solution principles in the morphological matrix.