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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2015-01-01
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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. |
first_indexed | 2024-12-23T13:45:26Z |
format | Article |
id | doaj.art-2a8367994e2d425e89afacc30b22f925 |
institution | Directory Open Access Journal |
issn | 2169-3277 |
language | English |
last_indexed | 2024-12-23T13:45:26Z |
publishDate | 2015-01-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Production and Manufacturing Research: An Open Access Journal |
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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