EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study
نویسندگان
چکیده
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 lowest MAD ECM selected. object under study, after ABC classification, belongs family products located class A due its valuation participation inventory. Croston method considered most effective model. Secondly, aggregate planning developed satisfy projection. Then, EOQ or Wilson implemented reduce costs. Finally, validate calculated data, simulation built Arena 50 replications. As result, were reduced 22.6%.
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ژورنال
عنوان ژورنال: Advances in transdisciplinary engineering
سال: 2023
ISSN: ['2352-751X', '2352-7528']
DOI: https://doi.org/10.3233/atde230038