Lean Logistic and Demand Planning Model

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

Research output: Chapter in Book/Report/Conference proceedingPaper (Conference contribution)peer-review

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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.
Translated title of the contributionLean Logistic and Demand Planning Model
Original languageAmerican English
Title of host publicationLean Logistic and Demand Planning Model
Place of PublicationUnited States
PublisherIEOM Society International
Chapter1
Number of pages12
ISBN (Electronic)978-1-7923-9159-0
StatePublished - 28 Nov 2022
EventProceedings 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
Duration: 19 Jul 202221 Jul 2022
Conference number: 3
http://ieomsociety.org/paraguay2022/proceedings/

Conference

ConferenceProceedings of the 3rd South American International Industrial Engineering and Operations Management
Conference, Asuncion, Paraguay, July 19-21, 2022
Abbreviated titleIEOM Paraguay 2022
Country/TerritoryParaguay
CityAsunción
Period19/07/2221/07/22
Internet address

Ulima Repository Category

  • Ingeniería industrial / Logística

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