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EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The main objective of this research article is to optimize costs and logistic KPIs applying an economic order quantity (EOQ) inventory model in a metal-mechanic MSE with intermittent demand. Firstly, the forecast model with the lowest MAD and ECM is selected. The object under study, after ABC classification, belongs to the family of products located in class A due to its valuation and participation in the inventory. The Croston method is considered the most effective forecast model. Secondly, an aggregate planning is developed to satisfy the projection. Then, the EOQ or Wilson model is implemented to reduce inventory costs. Finally, to validate the calculated data, a simulation model is built in Arena with 50 replications. As a result, the inventory costs were reduced to 22.6%
Original languageAmerican English
Title of host publicationEOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study
EditorsLoon-Ching Tang
Place of PublicationThe Netherlands
PublisherIOS Press
Pages128 - 139
Number of pages11
Volume35
ISBN (Electronic)978-1-64368-409-3
ISBN (Print)978-1-64368-408-6
DOIs
StatePublished - 27 Jul 2023
Event10th International Conference on Industrial Engineering and Applications- Asia - Phuket, Thailand
Duration: 4 Apr 20236 Apr 2023
Conference number: 10
http://www.iciea.org/

Publication series

NameAdvances in Transdisciplinary Engineering
PublisherIOS Press
Volume35
ISSN (Print)2352-751X
ISSN (Electronic)2352-7528

Conference

Conference10th International Conference on Industrial Engineering and Applications- Asia
Abbreviated titleICIEA-ASIA
Country/TerritoryThailand
CityPhuket
Period4/04/236/04/23
Internet address

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