Spare parts allocation: fuzzy systems approach

  • Authors:
  • Les M. Sztandera

  • Affiliations:
  • Computer Information Systems, Philadelphia University, Philadelphia, Pennsylvania

  • Venue:
  • Proceedings of the 15th WSEAS international conference on Computers
  • Year:
  • 2011

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Abstract

This paper addresses the use of a data analysis approach to extract information from a large number of failure equipment notifications. Based on that, a fuzzy system, capable of learning and optimizing the knowledge from historical evidence, is formed. Subsequently, its use as a guiding tool in decision making processes at the strategic level (estimation of the number of spare parts based on the warehouse location and type of failure), is outlined. To highlight its advantages, the fuzzy systems approach for spare parts allocation is compared with a probabilistic one.