generate_sample_goods_and_locatons_scenario: Generate Sample Goods and Locations Scenario for a Warehouse

In warehouseTools: Heuristics for Solving the Traveling Salesman Problem in Warehouse Layouts

Generate Sample Goods and Locations Scenario for a Warehouse

Description

This function generates a sample scenario of goods and their locations in a warehouse, along with related data such as storage time, demand ratio, and full packages demand ratio.

Usage

generate_sample_goods_and_locatons_scenario(
  warehouse_height = 25,
  warehouse_width = 40,
  warehouse_size = warehouse_height * warehouse_height,
  nr_goods = 10,
  max_nr_locations = rep(10, nr_goods),
  max_storage_time = rep(30, nr_goods),
  max_demand = rep(200, nr_goods),
  actual_demand = rep(100, nr_goods),
  full_packaging_amount = rep(20, nr_goods)
)

Arguments

warehouse_height	An integer specifying the height of the warehouse (default is 25).
warehouse_width	An integer specifying the width of the warehouse (default is 40).
warehouse_size	The total size of the warehouse (height * width), default is calculated as 'warehouse_height * warehouse_height'.
nr_goods	An integer specifying the number of different goods/products in the warehouse (default is 10).
max_nr_locations	A vector specifying the maximum number of locations each product can occupy (default is 'rep(10, nr_goods)').
max_storage_time	A vector specifying the maximum storage time for each product (default is 'rep(30, nr_goods)').
max_demand	A vector specifying the maximum demand for each product (default is 'rep(200, nr_goods)').
actual_demand	A vector specifying the actual demand for each product (default is 'rep(100, nr_goods)').
full_packaging_amount	A vector specifying the full packaging amount for each product (default is 'rep(20, nr_goods)').

Details

The function randomly assigns goods to locations in the warehouse and calculates various parameters such as storage time, demand ratio, and the full packages demand ratio for each product. It also calculates the number of neighboring products at each location and the distance from the location to the I/O point.

Value

A data frame containing the generated scenario data with columns for:

- 'product': Product identifier.

- 'location': Location of the product in the warehouse.

- 'storage_time': Storage time of the product.

- 'demand_ratio': The ratio of demand relative to the actual demand.

- 'full_packages_demand_ratio': The ratio of full packages relative to the demand.

- 'distance': The calculated distance to the I/O point.

- 'neighbors': The number of neighboring products for each location.

Author(s)

Krzysztof Dmytrów [e-mail] [aut] ORCID: 0000-0001-7657-6063

Andrzej Dudek [e-mail] [aut, cre] ORCID: 0000-0002-4943-8703

References

Dmytrów, K. (2022). Analytical and simulation determination of order picking time in a low storage warehouse for shared storage systems. Operations Research and Decisions, 32(2), 34–51. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.37190/ord220203")}

Examples

scenario <- generate_sample_goods_and_locatons_scenario()
scenario2 <- generate_sample_goods_and_locatons_scenario(warehouse_height = 10,
warehouse_width = 10,nr_goods = 5)

warehouseTools documentation built on April 3, 2025, 10:29 p.m.