en Material Managment Material Managment پژوهشي Research <div style="text-align: justify;"><span lang="EN-US" style="font-size:10.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">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&mdash;a coffee roaster company and a meatball producer&mdash;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.</span></span></span></div> ,Probabilistic inventory system,uncertain demand,Newsvendor model,expected profit 29 41 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-3083-1&slc_lang=en&sid=1 Dwi Kurniawan dwi_kurniawan@itenas.ac.id 1800319475328460012419 1800319475328460012419 Yes Institut Teknologi Nasional Bandung- Indonesia Aghnia Nazhiifah Ulhaq 1800319475328460012420 1800319475328460012420 No Institut Teknologi Nasional, Bandung 40124, Indonesia Aditya Fadhilah Althofian 1800319475328460012421 1800319475328460012421 No Institut Teknologi Nasional, Bandung 40124, Indonesia Rubby Nur Rachman 1800319475328460012422 1800319475328460012422 No Institut Teknologi Nasional, Bandung 40124, Indonesia