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...

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Bibliographic Details
Main Authors: Michael Simonis, Stefan Nickel
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923005401
Description
Summary: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.
ISSN:2352-3409