Applying inventory classification to a large inventory management system

Autores

DOI:

https://doi.org/10.12660/joscmv10n1p68-86

Palavras-chave:

Multi-criteria inventory classification, priority schemes, ABC analysis, nonlinear programming, spare parts management

Resumo

Inventory classification aims to ensure that business-driving inventory items are efficiently managed in spite of constrained resources. There are numerous single- and multiple-criteria approaches to it. Our objective is to improve resource allocation to focus on items that can lead to high equipment availability. This concern is typical of many service industries such as military logistics, airlines, amusement parks and public works. Our study tests several inventory prioritization techniques and finds that a modified multi-criterion weighted non-linear optimization (WNO) technique is a powerful approach for classifying inventory, outperforming traditional techniques of inventory prioritization such as ABC analysis in a variety of performance objectives.

Biografia do Autor

Benjamin Isaac May, US Navy

Weapons System Support

Michael P. Atkinson, Naval Postgraduate School

Associate Professor of Operations ResearchOperations Research Department

Geraldo Ferrer, Naval Postgraduate School

Professor of Supply Chain Management

Graduate School of Business and Public Policy

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Publicado

2017-06-28

Edição

Seção

03.Logistics and Supply Chain