Name: The Effects of Variability in Demand and Time Parameters for Multi-Item, Multi-Echelon, Multiindenture Reparable Inventory Systems (en Inglés)
SKU: 59783377
Price: 27.05 USD
Availability: InStock
Author: Borges De Abreu, Roberto C.
ISBN: 9781288282456

portada The Effects of Variability in Demand and Time Parameters for Multi-Item, Multi-Echelon, Multiindenture Reparable Inventory Systems (en Inglés)

The Effects of Variability in Demand and Time Parameters for Multi-Item, Multi-Echelon, Multiindenture Reparable Inventory Systems (en Inglés)

Formato

Libro Físico

Autor

Roberto C. Borges De Abreu

Editorial

Biblioscholar

Idioma

Inglés

N° páginas

106

Encuadernación

Tapa Blanda

Dimensiones

24.6x18.9x0.6 cm

Peso

0.20 kg.

ISBN13

9781288282456

Categorías

Educación

The Effects of Variability in Demand and Time Parameters for Multi-Item, Multi-Echelon, Multiindenture Reparable Inventory Systems (en Inglés)

Roberto C. Borges De Abreu (Autor) · Biblioscholar · Tapa Blanda

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Reseña del libro "The Effects of Variability in Demand and Time Parameters for Multi-Item, Multi-Echelon, Multiindenture Reparable Inventory Systems (en Inglés)"

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.