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Replenishment system using inventory models with continuous review and quantitative forecasting to reduce stock-outs in a commercial company

  • Universidad Peruana de Ciencias Aplicadas

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

2 Scopus citations

Abstract

In recent years, stock-outs significantly affects commercial enterprises with deficit equivalent to a large percentage of the total sales, due to its impact on current and future demand, regardless of their financial success. Carried out a qualitative and quantitative analysis of the current situation to identify the problem. In addition, the root causes were identified with the help of quality tools such as Pareto chart and Ishikawa and a questionnaire based on the SCOR model and management indicators. In this way why it is proposed a replenishment system applying models of inventories with continuous review and quantitative forecasts. The proposal consists of five phases: (i) identify the key products; (ii) Do quantitative forecasting; (iii) Determine inventory levels. (iv) Establish the new flow of information; (v) Establish new policies and procedures. We evaluate the models of inventories and forecasts through the program @Risk.

Original languageEnglish
Title of host publicationIntelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020
Subtitle of host publicationIntegrating People and Intelligent Systems
EditorsTareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar
PublisherSpringer
Pages683-689
Number of pages7
ISBN (Print)9783030395117
DOIs
StatePublished - 2020
Event3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 - Modena, Italy
Duration: 19 Feb 202021 Feb 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1131 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
Country/TerritoryItaly
CityModena
Period19/02/2021/02/20

Keywords

  • Continuous review replenishment system
  • Forecast
  • Inventory management
  • Retails
  • Stock outs

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