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An Expert System for Inventory Replenishment Optimization

  • Ander Errasti
  • Claudia Chackelson
  • Raul Poler
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 322)

Abstract

Companies survive in saturated markets trying to be more productive and more efficient. In this context, to manage more accurately the finished goods inventories becomes critical for make to stock production systems companies. In this paper an inventory replenishment expert system with the objectives of improving quality service and reducing holding costs is proposed. The Inventory Replenishment Expert System (IRES) is based on a periodic review inventory control and time series forecasting techniques. IRES propose the most effective replenishment strategy for each supply classed derived of an ABC-XYZ Analysis.

Keywords

Supply Chain Model Predictive Control Mean Absolute Percentage Error Mean Absolute Deviation Demand Forecast 
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.

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Copyright information

© IFIP 2010

Authors and Affiliations

  • Ander Errasti
    • 1
  • Claudia Chackelson
    • 1
  • Raul Poler
    • 2
  1. 1.Industrial Organisation, Tecnun-School of engineeringUniversity of NavarraSpain
  2. 2.CIGIPUniversidad Politécnica de ValenciaSpain

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