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具有关联批量和缺货的实际有能力批量问题的通用数据模型。

Generalized data model for real-world capacitated lot-sizing problems with linked lot sizes and backorders.

作者信息

Simonis Michael, Nickel Stefan

机构信息

Department of Economics and Management, Karlsruhe Institute of Technology, Kaiserstraße 89, Building 05.20-4A, Karlsruhe 76133, Germany.

出版信息

Data Brief. 2023 Jul 22;49:109440. doi: 10.1016/j.dib.2023.109440. eCollection 2023 Aug.

DOI:10.1016/j.dib.2023.109440
PMID:37554992
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10405180/
Abstract

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.

摘要

本文建立了用于片剂制造过程的具有关联批量与缺货的多级有容量约束批量问题(MLCLSP-L-B)的首个数据模型。数据集由九个表格组成,收集了具有关联批量与缺货的有容量约束批量问题所需的所有元信息。此外,它还能存储单级和多级批量问题实例信息。为每个表格提供了精确的字段描述和字段类型。通过标准化数据模板与批量研究界共享的匿名真实世界数据代表了四个单级包装和五个多级片剂制造过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7db8/10405180/9425adaa5993/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7db8/10405180/9425adaa5993/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7db8/10405180/9425adaa5993/gr1.jpg

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