جلد 35، شماره 4 - ( 9-1403 )                   جلد 35 شماره 4 صفحات 41-29 | برگشت به فهرست نسخه ها


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Kurniawan D, Nazhiifah Ulhaq A, Fadhilah Althofian A, Nur Rachman R. An Aggregated Newsvendor Model for Multi-Item Perishable Inventories with Uncertain Demand. IJIEPR 2024; 35 (4) :29-41
URL: http://ijiepr.iust.ac.ir/article-1-2097-fa.html
An Aggregated Newsvendor Model for Multi-Item Perishable Inventories with Uncertain Demand. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1403; 35 (4) :29-41

URL: http://ijiepr.iust.ac.ir/article-1-2097-fa.html


چکیده:   (513 مشاهده)
In industrial and commercial settings, inventory systems often involve managing multiple products with diverse demand patterns, making the direct application of the single-item newsvendor model inefficient. To address this complexity, this study proposes an adaptation of the newsvendor model through demand aggregation, where related items are grouped into a product family. By aggregating demand and financial parameters, the traditional newsvendor approach can be extended to multi-item systems, simplifying the inventory management process. This method was tested in two different case studies—a coffee roaster company and a meatball producer—demonstrating its validity and applicability. The aggregated newsvendor model was found to enhance inventory accuracy and efficiency, reducing random error and improving operational performance. This approach offers a valuable extension of the newsvendor model, with potential for broader application across various industries.
     
نوع مطالعه: پژوهشي | موضوع مقاله: Material Managment
دریافت: 1403/6/3 | پذیرش: 1403/7/9 | انتشار: 1403/9/20

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