On the Value of Information for Tactical Decision Support in Stockout Management

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Sebastian Langton and Martin J. Geiger",
  title =        "On the Value of Information for Tactical Decision
                 Support in Stockout Management",
  booktitle =    "45th Hawaii International Conference on System Science
                 (HICSS 2012)",
  year =         "2012",
  month =        jan,
  pages =        "1286--1295",
  size =         "10 pages",
  abstract =     "This article presents an approach for decision support
                 in tactical stock out management, primarily with
                 respect to inventory management problems. A framework
                 for eliciting information on stock out consequences
                 from experts is presented. In a subsequent evaluation
                 process, our solution approach for detecting cost
                 functions in soft expert information is introduced: By
                 applying a Genetic Programming (GP) algorithm,
                 sufficiently precise cost functions can be determined
                 for analysed stock out items. Comparing the information
                 content of different test instances, the quality of
                 solutions seems to be satisfying even with little
                 information available. Furthermore, it is shown that a
                 tendency of positive correlation between the amount of
                 information in test instances and the quality of the
                 solutions exists. Finally, an obvious gap of solutions
                 quality can be observed at a certain degree of
                 instance-specific information content.",
  keywords =     "genetic algorithms, genetic programming, evaluation
                 process, inventory management, positive correlation,
                 stockout management, tactical decision support,
                 decision support systems, inventory management",
  DOI =          "doi:10.1109/HICSS.2012.455",
  ISSN =         "1530-1605",
  notes =        "Also known as \cite{6148678}",

Genetic Programming entries for Sebastian Langton Martin J Geiger