Question: Locating DCs for Toy Stores ( Adapted from exercise 8 . 1 in Synder & Shen, 2 0 2 0 ) A toy store chain

Locating DCs for Toy Stores (Adapted from exercise 8.1 in Synder & Shen, 2020) A
toy store chain operates 8 retail stores in Texas. The company currently ships all products from a
central distribution center (DC) to the stores, but it is considering closing the central DC and instead
operating multiple regional DCs that serve the retail stores. It will use the CFLP to determine where
to locate DCs. Planners at the company have identified 5 potential cities in which regional DCs may
be located. The file toy-stores.xlsx lists the longitude and latitude for all of the locations (stores and
DCs), as well as the annual demand (measured in pallets) at each store and the fixed annual location
cost at each potential DC location. Using optimization software of your choice, implement the CFLP
model and solve it using the data provided. Assume that transportation from DCs to stores costs $1
per mile, as measured by the great circle distance between the two locations. Report the optimal cities
to locate DCs in, the assignment of stores to the opened DCs, and the optimal
City Lon Lat Demand (pallets)
Amarillo 101.818835.20355893
Austin 97.7506630.3049318502
Dallas 96.7674732.7931536936
Houston 95.3873329.7680563937
Irving 96.9693432.857696235
Laredo 99.486627.53432916
Pasadena 95.1520229.66064149
San Antonio 98.5053629.4576532464
City Lon Lat Fixed Cost Capacity
Amarillo 101.818835.20355207472040000
Austin 97.7506630.304933444378050000
El Paso 106.437531.849254161972033000
Houston 95.3873329.768057411680100000
Laredo 99.486627.53432587614027000

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