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Generalized data model for real-world capacitated lot-sizing problems with linked lot sizes and backorders
This data article establishes the first data model for the Multi-Level Capacitated Lot-Sizing Problem with Linked Lot Sizes and Backorders (MLCLSP-L-B) for tablets manufacturing processes. The dataset consists out of nine tables and collects all required meta-information for capacitated lot-sizing p...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405180/ https://www.ncbi.nlm.nih.gov/pubmed/37554992 http://dx.doi.org/10.1016/j.dib.2023.109440 |
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author | Simonis, Michael Nickel, Stefan |
author_facet | Simonis, Michael Nickel, Stefan |
author_sort | Simonis, Michael |
collection | PubMed |
description | This data article establishes the first data model for the Multi-Level Capacitated Lot-Sizing Problem with Linked Lot Sizes and Backorders (MLCLSP-L-B) for tablets manufacturing processes. The dataset consists out of nine tables and collects all required meta-information for capacitated lot-sizing problems with linked lot sizes and backorders. Furthermore, it is compatible to store information for single- and multi-level lot-sizing problem instance information. An exact field description and field type is provided for each table. Anonymized real-world data represents four single-level packaging and five multi-level tablets manufacturing processes that are shared with lot-sizing research community by the standardized data template. |
format | Online Article Text |
id | pubmed-10405180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104051802023-08-08 Generalized data model for real-world capacitated lot-sizing problems with linked lot sizes and backorders Simonis, Michael Nickel, Stefan Data Brief Data Article This data article establishes the first data model for the Multi-Level Capacitated Lot-Sizing Problem with Linked Lot Sizes and Backorders (MLCLSP-L-B) for tablets manufacturing processes. The dataset consists out of nine tables and collects all required meta-information for capacitated lot-sizing problems with linked lot sizes and backorders. Furthermore, it is compatible to store information for single- and multi-level lot-sizing problem instance information. An exact field description and field type is provided for each table. Anonymized real-world data represents four single-level packaging and five multi-level tablets manufacturing processes that are shared with lot-sizing research community by the standardized data template. Elsevier 2023-07-22 /pmc/articles/PMC10405180/ /pubmed/37554992 http://dx.doi.org/10.1016/j.dib.2023.109440 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Simonis, Michael Nickel, Stefan Generalized data model for real-world capacitated lot-sizing problems with linked lot sizes and backorders |
title | Generalized data model for real-world capacitated lot-sizing problems with linked lot sizes and backorders |
title_full | Generalized data model for real-world capacitated lot-sizing problems with linked lot sizes and backorders |
title_fullStr | Generalized data model for real-world capacitated lot-sizing problems with linked lot sizes and backorders |
title_full_unstemmed | Generalized data model for real-world capacitated lot-sizing problems with linked lot sizes and backorders |
title_short | Generalized data model for real-world capacitated lot-sizing problems with linked lot sizes and backorders |
title_sort | generalized data model for real-world capacitated lot-sizing problems with linked lot sizes and backorders |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405180/ https://www.ncbi.nlm.nih.gov/pubmed/37554992 http://dx.doi.org/10.1016/j.dib.2023.109440 |
work_keys_str_mv | AT simonismichael generalizeddatamodelforrealworldcapacitatedlotsizingproblemswithlinkedlotsizesandbackorders AT nickelstefan generalizeddatamodelforrealworldcapacitatedlotsizingproblemswithlinkedlotsizesandbackorders |