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Applying inventory classification to a large inventory management system

Journal of Operations and Supply Chain Management

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Title Applying inventory classification to a large inventory management system
 
Creator May, Benjamin Isaac; US Navy
Atkinson, Michael P.; Naval Postgraduate School
Ferrer, Geraldo; Naval Postgraduate School
 
Subject Multi-criteria inventory classification; priority schemes; ABC analysis; nonlinear programming; spare parts management
 
Description 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.
 
Publisher FGV EAESP
 
Contributor —
 
Date 2017-06-28
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
 
Format application/pdf
 
Identifier http://bibliotecadigital.fgv.br/ojs/index.php/joscm/article/view/64634
10.12660/joscmv10n1p68-86
 
Source Journal of Operations and Supply Chain Management; Vol 10, No 1 (2017): January - June; 68-86
Journal of Operations and Supply Chain Management; Vol 10, No 1 (2017): January - June; 68-86
1984-3046
 
Language eng
 
Relation http://bibliotecadigital.fgv.br/ojs/index.php/joscm/article/view/64634/pdf_6
http://bibliotecadigital.fgv.br/ojs/index.php/joscm/article/downloadSuppFile/64634/2615
 
Rights Copyright (c) 2017 Journal of Operations and Supply Chain Management
http://creativecommons.org/licenses/by/4.0