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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 |
Sumario: | 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. |
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