Lean Logistic and Demand Planning Model

Allison Consuelo Lozano; Jean Mora Cabrera; José Antonio Taquía Gutiérrez

Lean Logistic and Demand Planning Model

Título traducido de la contribución: Lean Logistic and Demand Planning Model

Allison Consuelo Lozano
, Jean Mora Cabrera
, José Antonio Taquía Gutiérrez

Carrera de Ingeniería Industrial

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

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Resumen

Order picking and warehouse management is a key activity in any replenishment strategy. An inventory management
model is proposed which can be managed through indicators such as order picking time and inventory turnover. For
this purpose, a combination of different methods such as ARIMA forecasting, economic lot sizing (EOQ), 5S strategy
and ABC technique were combined and taken to a simulation through ARENA software. Finally, the MAPE indicators
were reduced from a range of 47.44% up to 79.39% to range of 5.93% up to 37.47%, which is the result of an initial
situation versus a later improved one, as well as an increase in inventory turnover and a reduction in total order
preparation time.

Título traducido de la contribución	Lean Logistic and Demand Planning Model
Idioma original	Inglés estadounidense
Título de la publicación alojada	Lean Logistic and Demand Planning Model
Lugar de publicación	United States
Editorial	IEOM Society International
Capítulo	1
Número de páginas	12
ISBN (versión digital)	978-1-7923-9159-0
Estado	Publicada - 28 nov. 2022
Evento	Proceedings of the 3rd South American International Industrial Engineering and Operations Management Conference, Asuncion, Paraguay, July 19-21, 2022 - Universidad Nacional de Asunción - Paraguay, Asunción, Paraguay Duración: 19 jul. 2022 → 21 jul. 2022 Número de conferencia: 3 http://ieomsociety.org/paraguay2022/proceedings/

Conferencia

Conferencia	Proceedings of the 3rd South American International Industrial Engineering and Operations Management Conference, Asuncion, Paraguay, July 19-21, 2022
Título abreviado	IEOM Paraguay 2022
País/Territorio	Paraguay
Ciudad	Asunción
Período	19/07/22 → 21/07/22
Dirección de internet	http://ieomsociety.org/paraguay2022/proceedings/

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 12: Producción y consumo responsables

Palabras Clave

ARIMA forecasting
EOQ
Order picking

Categorías Repositorio Ulima

Ingeniería industrial / Logística

Acceder al documento

LeanLogisticsDemandPlanningVersión publicada final, 709 KBLicencia: CC BY

Logística urbana aplicada a la distribución retail de productos y servicios
Taquía Gutiérrez, J. A. (Investigador principal)
Universidad de Lima
1/04/22 → 31/03/23
Proyecto: Investigación
Gestión de riesgos en la planificación de la cadena de suministro para nuevos mercados.
Taquía Gutiérrez, J. A. (Investigador principal)
8/04/13 → 28/03/14
Proyecto: Investigación

Citar esto

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title = "Lean Logistic and Demand Planning Model",

abstract = "Order picking and warehouse management is a key activity in any replenishment strategy. An inventory management model is proposed which can be managed through indicators such as order picking time and inventory turnover. For this purpose, a combination of different methods such as ARIMA forecasting, economic lot sizing (EOQ), 5S strategy and ABC technique were combined and taken to a simulation through ARENA software. Finally, the MAPE indicators were reduced from a range of 47.44\% up to 79.39\% to range of 5.93\% up to 37.47\%, which is the result of an initial situation versus a later improved one, as well as an increase in inventory turnover and a reduction in total order preparation time.",

keywords = "ARIMA forecasting, EOQ, Order picking",

author = "Lozano, \{Allison Consuelo\} and \{Mora Cabrera\}, Jean and \{Taqu{\'i}a Guti{\'e}rrez\}, \{Jos{\'e} Antonio\}",

year = "2022",

month = nov,

day = "28",

language = "American English",

booktitle = "Lean Logistic and Demand Planning Model",

publisher = "IEOM Society International",

note = "Proceedings of the 3rd South American International Industrial Engineering and Operations Management<br/>Conference, Asuncion, Paraguay, July 19-21, 2022, IEOM Paraguay 2022 ; Conference date: 19-07-2022 Through 21-07-2022",

url = "http://ieomsociety.org/paraguay2022/proceedings/",

}

Lozano, AC, Mora Cabrera, J & Taquía Gutiérrez, JA 2022, Lean Logistic and Demand Planning Model. En Lean Logistic and Demand Planning Model., 347, IEOM Society International, United States, Proceedings of the 3rd South American International Industrial Engineering and Operations Management
Conference, Asuncion, Paraguay, July 19-21, 2022, Asunción, Paraguay, 19/07/22.

TY - GEN

T1 - Lean Logistic and Demand Planning Model

AU - Lozano, Allison Consuelo

AU - Mora Cabrera, Jean

AU - Taquía Gutiérrez, José Antonio

N1 - Conference code: 3

PY - 2022/11/28

Y1 - 2022/11/28

N2 - Order picking and warehouse management is a key activity in any replenishment strategy. An inventory management model is proposed which can be managed through indicators such as order picking time and inventory turnover. For this purpose, a combination of different methods such as ARIMA forecasting, economic lot sizing (EOQ), 5S strategy and ABC technique were combined and taken to a simulation through ARENA software. Finally, the MAPE indicators were reduced from a range of 47.44% up to 79.39% to range of 5.93% up to 37.47%, which is the result of an initial situation versus a later improved one, as well as an increase in inventory turnover and a reduction in total order preparation time.

AB - Order picking and warehouse management is a key activity in any replenishment strategy. An inventory management model is proposed which can be managed through indicators such as order picking time and inventory turnover. For this purpose, a combination of different methods such as ARIMA forecasting, economic lot sizing (EOQ), 5S strategy and ABC technique were combined and taken to a simulation through ARENA software. Finally, the MAPE indicators were reduced from a range of 47.44% up to 79.39% to range of 5.93% up to 37.47%, which is the result of an initial situation versus a later improved one, as well as an increase in inventory turnover and a reduction in total order preparation time.

KW - ARIMA forecasting

KW - EOQ

KW - Order picking

M3 - Paper (Conference contribution)

BT - Lean Logistic and Demand Planning Model

PB - IEOM Society International

CY - United States

T2 - Proceedings of the 3rd South American International Industrial Engineering and Operations Management<br/>Conference, Asuncion, Paraguay, July 19-21, 2022

Y2 - 19 July 2022 through 21 July 2022

ER -

Lean Logistic and Demand Planning Model

Resumen

Conferencia

ODS de las Naciones Unidas

Palabras Clave

Categorías Repositorio Ulima

Acceder al documento

Proyectos

Logística urbana aplicada a la distribución retail de productos y servicios

Gestión de riesgos en la planificación de la cadena de suministro para nuevos mercados.

Citar esto