This example demonstrates how to solve a simple GAMS model to assign stores to warehouses for different data sets in parallel. More...

Functions
def	warehouse.solve_warehouse (workspace, nr_warehouses, result, lock)

Variables
str	warehouse.GAMS_MODEL

sys	warehouse.sys_dir = sys.argv[1] if len(sys.argv) > 1 else None

GamsWorkspace	warehouse.ws = GamsWorkspace(system_directory=sys_dir)

GamsWorkspace	warehouse.result_db = ws.add_database()

str	warehouse.status_string = ""

int	warehouse.status = 0

Lock	warehouse.lock = Lock()

list	warehouse.threads = []

Thread	warehouse.t = Thread(target=solve_warehouse, args=(ws, i, result_db, lock))

Detailed Description

This example demonstrates how to solve a simple GAMS model to assign stores to warehouses for different data sets in parallel.

The model has been parameterized. The data can be derived from a few numbers namely the number of warehouses, stores, and some fixed cost scalar. The results of the model are written into a single result database that is protected across the parallel threads via a mutex.

Definition in file warehouse.py.

Functions

Variables

Detailed Description