@PhdThesis{dbt_mods_00004043,
  author = 	{D{\"o}ring Dr. rer. pol., Thomas},
  title = 	{Wissensbasierte Parametrisierung von Planungsverfahren am Beispiel der simultanen Termin- und Kapazit{\"a}tsplanung},
  year = 	{2005},
  month = 	{Jul},
  day = 	{04},
  keywords = 	{Parametrisierung; Parameter; Planung; Produktionsplanung; Planungsverfahren},
  abstract = 	{Abstract for the doctoral thesis „Knowledge based parameterisation of planning 
systems at the example of simultaneous scheduling and capacity planning"

A lot of complex planning problems exist in the practise which can not be solved 
with exact working planning methods. As a rule heuristic methods will be used in 
this case. These methods contain normally several parameters to control the way 
the method works. It is difficult to determine the values of these parameters 
because there are non linear interactions between the parameters which have to 
be considered. Besides the optimal parameter value depends on the actual problem 
to solve.

This thesis describes a way to adjust the parameters of a planning system based 
on expertise. The parameterisation will be carried out before each planning run. 
After the parameterisation the planning system will be adjusted for the actual 
problem. The parameter values to be used will be determined with cased based 
reasoning. The expertise in the underlying case base will be automatically 
obtained with a new algorithm for continuous knowledge acquisition. For known 
planning problems the best parameter values will be determined and together with 
the problem description saved in the case base. An important advantage of the 
developed algorithm is that except of the knowledge of the planning system and 
planning problems from the past no additional expertise is necessary.

A further part of the thesis is an empirical study based on a prototype to 
document the efficiency of the knowledge based parameterisation.},
  url = 	{https://www.db-thueringen.de/receive/dbt_mods_00004043},
  url = 	{http://uri.gbv.de/document/gvk:ppn:491250584},
  file = 	{:https://www.db-thueringen.de/servlets/MCRZipServlet/dbt_derivate_00006247:TYPE},
  language = 	{de}
}