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

Carlos Malca-Ramirez, Luis Nuñez-Salome, Ernesto Altamirano, José Alvarez-Merino

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaIntelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020
Subtítulo de la publicación alojadaIntegrating People and Intelligent Systems
EditoresTareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar
EditorialSpringer
Páginas683-689
Número de páginas7
ISBN (versión impresa)9783030395117
DOI
EstadoPublicada - 2020
Evento3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 - Modena, Italia
Duración: 19 feb. 202021 feb. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1131 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
País/TerritorioItalia
CiudadModena
Período19/02/2021/02/20

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