Integrated Lean Logistics - Warehousing model to reduce Lead Time in an SME of food sector: A research in Peru

Juan Carlos Quiroz-Flores, Daniela Steisy Canales-Huaman, Karina Guiuliana Gamio-Valdivia

Producción científica: Capítulo del libro/informe/acta de congresoArticulo (Contribución a conferencia)revisión exhaustiva

5 Citas (Scopus)

Resumen

The food industry represented 2019 3.2% of the Gross Domestic Product (GDP) in Peru, in addition to presenting high employability being that the sector contained 7.4% of the Economically Active Population (EAP) [1]. However, due to the world crisis caused by COVID 19, this sector has been harmed in the year 2020 because the GDP of the accommodation and restaurants sector decreased by 50.2% compared to the previous year [2]. For that reason, strengthening this industry is considered crucial. One of the most critical links in the management of the supply chain of material, this problem results in the late delivery of orders to their customers, which would generate significant monetary losses and a bad reputation. In this sense, the present research proposes an integral improvement model based on the combination of tools such as the 5S ordering of raw material under a multi-criteria ABC approach, FEFO, MRP, Forecasting, and BPM, whose objective is to reduce the lead time. The model was validated through a simulation in Arena 16.1, where a reduction in delivery time and the frequency of extra purchases in 7.2% y 50%.

Idioma originalInglés
Título de la publicación alojadaIEIM 2022 - 2022 3rd International Conference on Industrial Engineering and Industrial Management
EditorialAssociation for Computing Machinery
Páginas182-188
Número de páginas7
ISBN (versión digital)9781450395694
DOI
EstadoPublicada - 12 ene. 2022
Evento3rd International Conference on Industrial Engineering and Industrial Management, IEIM 2022 - Barcelona, Espana
Duración: 12 ene. 202214 ene. 2022

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia3rd International Conference on Industrial Engineering and Industrial Management, IEIM 2022
País/TerritorioEspana
CiudadBarcelona
Período12/01/2214/01/22

COAR

  • Artículo de conferencia

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