The Effects of Variability in Demand and Time Parameters for Multi-Item Multi-Echelon Multiindenture Reparable Inventory Systems

<p>This research sought to describe an alternative way for calculating expected back order (EBO) for reparable inventory systems. The high costs associated with reparable items management together with its importance for system's availability make the assessment of back orders of great importance in supporting decisions of what-to-buy and where-to- locate those items. Starting at the point that existing models (METRIC MOD-METRIC and VARIMETRIC) rely on some assumptions that often cannot be met in real life the proposed method (called P-METRIC) which is a mix of simulation and mathematical analytical model relaxes assumptions about Demand Time to Repair (TTR) and Ordering and Ship Time (OST) distributions looking for potential differences that may cause on the EBO calculation. The study consists of 10 conceptual examples where the parameters of Demand TTR and OST vary according to probability distributions recognized by the related literature.</p><p>This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact and remains as true to the original work as possible. Therefore you will see the original copyright references library stamps (as most of these works have been housed in our most important libraries around the world) and other notations in the work.</p><p>This work is in the public domain in the United States of America and possibly other nations. Within the United States you may freely copy and distribute this work as no entity (individual or corporate) has a copyright on the body of the work.</p><p>As a reproduction of a historical artifact this work may contain missing or blurred pages poor pictures errant marks etc. Scholars believe and we concur that this work is important enough to be preserved reproduced and made generally available to the public. We appreciate your support of the preservation process and thank you for being an important part of keeping this knowledge alive and relevant.</p>