Concretization of the concept for the simultaneous capacity and price control


The concretization of the basic concept for SCPC, as well as its components CC and PC, provided in chapter 3, concerns particularly the solution of the described problems in the context of CC, PC and SCPC founded on the basic understanding of their dynamic execution. In addition to this, the mathematical framework of the provided solution has to be formulated. The resulting decision model bases the implementation of a CC, PC and SCPC.


Membership Function Rule Basis Fuzzy Control Fuzzy Controller Solution Concept 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 75.
    In application case I (sole capacity control), the practice case is controlled on the basis of initial capacity distributions as the result of demand forecasts assuming an ARMA (1, 1) process [Schlittgen/ Streitberg 1987]. In terms of forecasting quality, this process had the best results. In terms of the capacity setting itself, just taking the average of the last periods would have led to the same results.Google Scholar
  2. 80.
    Artificial Intelligence (AI) is characterized by Minsky [1966] as the “science of making machines do things that would require intelligence if done by men.” This leads to the understanding of “intelligent” computer systems having abilities that would be considered by men as intelligent behavior (e.g. problem solving, learning) [Kurbel 1992, p.1].Google Scholar
  3. 81.
    Examples for applications of expert systems are presented in Hoff [1990], Mertens [1986; 1987; 1988] and Bullinger/Kornwachs [1990].Google Scholar
  4. 85.
    Explicit knowledge would have a broader validity and increase the transparency and acceptance of systems and methods for the practical use [Tuma 1994, p. 18].Google Scholar
  5. 89.
    The choice of the adequate shape of membership function is still object of research and discussion on fuzzy systems (see, for example, Biewer [1997]).Google Scholar
  6. 93.
    In practice, mostly the max-min-inference is used because its implementation is easier and more efficient [Biewer 1997]. However, arguments against this inference method can also be found [Rommelfanger 1994].Google Scholar
  7. 99.
    One famous example of good performances of fuzzy controllers despite missing system components is the fuzzy-computer of Yamakawa, which also worked after the removal of a blank [Yamakawa 1989].Google Scholar

Copyright information

© Betriebswirtschaftlicher Verlag Dr. Th. Gabler | GWV Fachverlage GmbH, Wiesbaden 2008

Personalised recommendations