Numerical Investigation

  • Thorben Seiler
Part of the Contributions to Management Science book series (MANAGEMENT SC.)


It is the primary objective of the numerical investigation to assess to what extent the chosen approach is valid for different cases. The investigated cases all center around operative transportation planning in the consumer goods industry, as described in Sect. 3.2. In this section, the following will be outlined: First, a general description of the chosen test-cases and implementation environment is given and initial results of the numerical investigation are introduced. In the second subsection, the input data is varied in several scenarios and the results are presented and discussed. Subsequently, some control and filter parameters are subject to manipulation and the consequences are investigated. Further variations to the structure and specification of the input data are assessed afterwards. Finally, the findings are aggregated and compared to instances based on real life data, and an overall conclusion is drawn.


Planning Horizon Combination Scheme Filter Parameter Transportation Distance Freight Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Department for Transport (2006) Key Performance Indicators for the Food Supply Chain,, [12.04.2010]
  2. Lütke Entrup M (2005) Advanced Planning in Fresh Food Industries. Physica, HeidelbergGoogle Scholar
  3. NN (2009) Güterfernverkehrsentgelte. Verkehrs-Verlag J. Fischer, DüsseldorfGoogle Scholar
  4. Stolletz R, Stolletz L (2008) Linearisierungsverfahren für Standortplanungsprobleme mit nichtlinearen Transportkosten. Zeitschrift für Planung & Unternehmenssteuerung 19:261–280CrossRefGoogle Scholar
  5. The Economist Intelligence Unit (2005) Consumer Goods Industry ForecastGoogle Scholar
  6. Williams H (2008) Model building in mathematical programming. Wiley, ChichesterGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.BerlinGermany

Personalised recommendations