A fuzzy association rule mining framework for variables selection concerning the storage time of packaged food

Yasmin Y.Y. Hui, King Lun Tommy Choy, G. T.S. Ho, H. Y. Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

� 2016 IEEE. The growth in the packaged food industry has created pressure on the packaged food warehouse to enhance the order-picking efficiency. The decision support system (DSS) for stock keeping units (SKUs) allocation thus has to make quality decisions for shortening the order-picking time. In order to improve the decision making ability of the DSS, the determinant factors of the major input variable -The storage time of SKUs, have to be identified. Given the imprecise nature of the potential determinant factors, a fuzzy association rule mining (FARM) framework is proposed in this study. It applies the FARM technique to identify and evaluate the factors and patterns concerning the storage time of SKUs in packaged food warehouses. The framework was tested through a case study, and the results showed that the framework is able to identify the most relevant input variables in regard to the storage time and can describe the relationships between them specifically.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
PublisherIEEE
Pages671-677
Number of pages7
ISBN (Electronic)9781509006250
DOIs
Publication statusPublished - 7 Nov 2016
Event2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 - Vancouver, Canada
Duration: 24 Jul 201629 Jul 2016

Conference

Conference2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
CountryCanada
CityVancouver
Period24/07/1629/07/16

Keywords

  • Decision support
  • Fuzzy association rule mining
  • Packaged food
  • Storage time
  • Variables selection

ASJC Scopus subject areas

  • Control and Optimization
  • Logic
  • Modelling and Simulation

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