Decision support system for inventory management in pharmacy using fuzzy analytic hierarchy process and sequential pattern analysis approach

Rendra Gustriansyah, Dana Indra Sensuse, Arief Ramadhan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

A pharmacy typically store pharmaceutical products in warehouses before being sold to the customer. Stacking of products in the warehouse can reduce the efficiency of the warehouse and increase the costs associated with inventory, which raised the problem of how to predict the stock of each product to the right in order to avoid excess/shortages. Therefore, this study aims to develop a decision support system for inventory management in pharmacy, especially to predict next inventory using FAHP and SPA approach, so the prospect of inventory management will be more optimal. The study also proposes a model to predict inventory. These results indicate that the inventory prediction accuracy using this model approach more accurate 18% than the inventory prediction accuracy by a pharmacy inventory manager, so this approach can be referred to as a decision support system.

Original languageEnglish
Title of host publicationCONMEDIA 2015 - International Conference on New Media 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467386562
DOIs
Publication statusPublished - 7 Apr 2016
Event3rd International Conference on New Media, CONMEDIA 2015 - Tangerang, Indonesia
Duration: 25 Nov 201527 Nov 2015

Publication series

NameCONMEDIA 2015 - International Conference on New Media 2015

Conference

Conference3rd International Conference on New Media, CONMEDIA 2015
Country/TerritoryIndonesia
CityTangerang
Period25/11/1527/11/15

Keywords

  • FAHP
  • inventory management
  • pharmacy
  • sequential pattern analysis

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