Title
Replenishment system using inventory models with continuous review and quantitative forecasting to reduce stock-outs in a commercial company
Date Issued
01 January 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
Malca-Ramirez C.
Nuñez-Salome L.
Altamirano E.
Alvarez-Merino J.
Publisher(s)
Springer
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.
Start page
683
End page
689
Volume
1131 AISC
Language
English
OCDE Knowledge area
Negocios, Administración
Ingeniería industrial
Subjects
Scopus EID
2-s2.0-85081893434
Source
Advances in Intelligent Systems and Computing
Resource of which it is part
Advances in Intelligent Systems and Computing
ISSN of the container
21945357
ISBN of the container
978-303039511-7
Conference
3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
Sources of information:
Directorio de Producción Científica
Scopus