MIP formulations for perishable fresh foods transportation

DOI

10.2991/978-94-6463-102-9_27How to use a DOI?

Keywords

Assignment Problem; Mixed-Integer Programming Model (MIP); Logistics Transportation; FICO Xpress

ABSTRACT

This paper uses a mixed-integer programming model to solve the distribution problem of perishable food shipments from factories to warehouse and then to destinations. This model focus on adding a limit time which goods can be remained in the warehouse and ignores the transportation cost between factories and warehouse and the cost of warehouse’s management. The result shows nearly 62% of the goods should be sent by full-truckload because the full-truckload can load more and cost less. What’s more, the sensitivity analysis further discusses the influence of factory number on total transportation cost.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ruoyu Hao
AU  - Haoran Ma
PY  - 2022
DA  - 2022/12/29
TI  - MIP formulations for perishable fresh foods transportation
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 233
EP  - 243
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_27
DO  - 10.2991/978-94-6463-102-9_27
ID  - Hao2022
ER  -