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warehouseTools  

Heuristics for Solving the Traveling Salesman Problem in Warehouse Layouts
View on CRAN: Click here


Download and install warehouseTools package within the R console
Install from CRAN:
install.packages("warehouseTools")

Install from Github:
library("remotes")
install_github("cran/warehouseTools")

Install by package version:
library("remotes")
install_version("warehouseTools", "0.1.4")



Attach the package and use:
library("warehouseTools")
Maintained by
Andrzej Dudek
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-12-09
Latest Update: 2025-07-26
Description:
Heuristic methods to solve the routing problems in a warehouse management. Package includes several heuristics such as the Midpoint, Return, S-Shape and Semi-Optimal Heuristics for designation of the picker’s route in order picking. The heuristics aim to provide the acceptable travel distances while considering warehouse layout constraints such as aisles and shelves. It also includes implementation of the COPRAS (COmplex PRoportional ASsessment) method for supporting selection of locations to be visited by the picker in shared storage systems. The package is designed to facilitate more efficient warehouse routing and logistics operations. see: Bartholdi, J. J.,Hackman, S. T. (2019). "WAREHOUSE & DISTRIBUTION SCIENCE. Release 0.98.1." The Supply Chain & Logistics Institute. H. Milton Stewart School of Industrial and Systems Engineering. Georgia Institute of Technology. <https://www.warehouse-science.com/book/editions/wh-sci-0.98.1.pdf>.
How to cite:
Andrzej Dudek (2024). warehouseTools: Heuristics for Solving the Traveling Salesman Problem in Warehouse Layouts. R package version 0.1.4, https://cran.r-project.org/web/packages/warehouseTools. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.1.2 (2024-12-09 20:50), 0.1.3 (2025-06-22 16:00)
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