The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/18865187

Wang, Sirui (2022): Data underlying the manuscript: “Optimizing a multi-echelon location-inventory problem with joint replenishment: a Lipschitz ε-optimal approach using Lagrangian relaxation". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/18865187.v2

Dataset

x choose version: version 1 - 2022-01-24

• Applied Mathematics
• Other Information and Computing Sciences

joint replenishment (JR), location-inventory problem (LIP)

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Sirui Wang

This is the data repository for manuscript "optimizing a multi-echelon location-inventory problem with joint replenishment: a Lipschitz ε-optimal approach using Lagrangian relaxation".
The data repository contains all instances used in our study.
The dataset consists in two folders.
1) The inputData folder contains all orginal data of numerical instances,
2) The outputData folder contains the solutions of instances.
The data are all randomly generated and can be used publicly.

• 2022-01-24 first online

• 2022-12-22 published, posted

4TU.ResearchData

All data are stored in the MATLAB data format. For more data format description about data-specific information (parameters and/or variables used, column headings, codes/symbols used, etc.) , one can refer to the README.txt

Huazhong University of Science & Technology