An extension for dynamic lot-sizing heuristics

This paper presents an efficient procedure to extend dynamic lot-sizing heuristics that has been overlooked by inventory management literature and practice. Its intention is to show that the extension improves the results of basic heuristics significantly. We first present a comprehensive descriptio...

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Bibliographic Details
Main Authors: Fabian G. Beck, Eric H. Grosse, Ruben Teßmann
Format: Article
Language:English
Published: Taylor & Francis Group 2015-01-01
Series:Production and Manufacturing Research: An Open Access Journal
Subjects:
Online Access:http://dx.doi.org/10.1080/21693277.2014.985390
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author Fabian G. Beck
Eric H. Grosse
Ruben Teßmann
author_facet Fabian G. Beck
Eric H. Grosse
Ruben Teßmann
author_sort Fabian G. Beck
collection DOAJ
description This paper presents an efficient procedure to extend dynamic lot-sizing heuristics that has been overlooked by inventory management literature and practice. Its intention is to show that the extension improves the results of basic heuristics significantly. We first present a comprehensive description of the extension procedure and then test its performance in an extensive numerical study. Our analysis shows that the extension is an efficient tool to improve basic dynamic lot-sizing heuristics. The results of the paper may be used in inventory management to assist researchers in selecting dynamic lot-sizing heuristics and may be of help for practitioners as decision support.
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spelling doaj.art-2a8367994e2d425e89afacc30b22f9252022-12-21T17:44:43ZengTaylor & Francis GroupProduction and Manufacturing Research: An Open Access Journal2169-32772015-01-0131203510.1080/21693277.2014.985390985390An extension for dynamic lot-sizing heuristicsFabian G. Beck0Eric H. Grosse1Ruben Teßmann2Carlo and Karin Giersch Endowed Chair “Business Management: Industrial Management”, Technische Universität DarmstadtCarlo and Karin Giersch Endowed Chair “Business Management: Industrial Management”, Technische Universität DarmstadtCarlo and Karin Giersch Endowed Chair “Business Management: Industrial Management”, Technische Universität DarmstadtThis paper presents an efficient procedure to extend dynamic lot-sizing heuristics that has been overlooked by inventory management literature and practice. Its intention is to show that the extension improves the results of basic heuristics significantly. We first present a comprehensive description of the extension procedure and then test its performance in an extensive numerical study. Our analysis shows that the extension is an efficient tool to improve basic dynamic lot-sizing heuristics. The results of the paper may be used in inventory management to assist researchers in selecting dynamic lot-sizing heuristics and may be of help for practitioners as decision support.http://dx.doi.org/10.1080/21693277.2014.985390EOQdynamic lot-sizingheuristics
spellingShingle Fabian G. Beck
Eric H. Grosse
Ruben Teßmann
An extension for dynamic lot-sizing heuristics
Production and Manufacturing Research: An Open Access Journal
EOQ
dynamic lot-sizing
heuristics
title An extension for dynamic lot-sizing heuristics
title_full An extension for dynamic lot-sizing heuristics
title_fullStr An extension for dynamic lot-sizing heuristics
title_full_unstemmed An extension for dynamic lot-sizing heuristics
title_short An extension for dynamic lot-sizing heuristics
title_sort extension for dynamic lot sizing heuristics
topic EOQ
dynamic lot-sizing
heuristics
url http://dx.doi.org/10.1080/21693277.2014.985390
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