Assessment of similarities between model behaviour and actual product from economic and technical perspectives
Tomas Macak,
Mansoor Maitah () and
Bruno S. Sergi
International Journal of Management and Decision Making, 2017, vol. 16, issue 2, 172-185
Abstract:
This paper assesses the proximity of the degree of similarity between the behaviour of a model and the actual product from technical and economic criteria. The methodology is best illustrated by using the example of a power boat and a sail boat model. The first portion deals with technical aspects, using the cybernetic theory of similarities - classification of the relationship between the model and the actual product (isomorphic or homomorphic). Since the similarity was assessed in the field of aerodynamics, the Bernoulli equation was used to derive the conditions of isomorphism for flow in the actual object. This defines the boat model from the technical point of view. The objectives of the experiment in this study were two-fold. The first objective is to identify the formula for the deduction of the technical and economic criteria of the product model (in this case, a sail boat). The second objective is to use factorial design for identification of the parameters that affect the decisions about the choice of the model (homomorphic vs. isomorphic).
Keywords: competitive advantage; economic criteria; technical criteria; model of product; isomorphic relation; relation of homomorphism; factorial experiment. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=84200 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmdma:v:16:y:2017:i:2:p:172-185
Access Statistics for this article
More articles in International Journal of Management and Decision Making from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().