The Conceptual Framework of Inventory Management for Quality Warnings on Perishable Goods

Veneshia Dian Prameswari, Teuku Yuri M. Zagloel

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

Abstract

Sorting vegetables is essential to obtain quality vegetables when they are received. Thus, it can be linked to the accuracy in the balance of demand and supply. Fuzzy inference system is used for sorting fresh and non-fresh vegetables, followed by ABC analysis to classify vegetables that will be prioritized based on the highest sales revenue. Fuzzy variables based on the characteristics of vegetables of visual and storage temperature are used to determine the shelf life and quality of vegetables as a decision model in sorting out which priority level should be sent first to the customer. Therefore, the Sugeno method is implemented to help decision making in the company effectively and efficiently. This model is developed by making quality warning procedures based on a more accurate inventory because of the increased demand. It can reduce the lack of stock due to poor quality to avoid the company to experience deprivation and loss of sales.

Original languageEnglish
Title of host publicationAsia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020 - Proceedings
PublisherAssociation for Computing Machinery
Pages310-315
Number of pages6
ISBN (Electronic)9781450376006
DOIs
Publication statusPublished - 16 Jun 2020
Event3rd Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020 - Depok, Online, Indonesia
Duration: 16 Jun 2020 → …

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020
CountryIndonesia
CityDepok, Online
Period16/06/20 → …

Keywords

  • Fuzzy Inference System
  • Inventory
  • Perishable Goods
  • Quality

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