Expectation-Maximization Algorithm of Gaussian Mixture Model for Vehicle-Commodity Matching in Logistics Supply Chain

Table 1

Variables’ descriptions.

Sets
	The set of points and j
	The set of warehouse
	The set of vehicle
Parameters
	0-1 variable: 1 means that the warehouse is selected; otherwise, it is 0
	Unit fixed cost of warehouse
	0-1 variable: 1 means vehicle from to ; otherwise, it is 0
	Unit fixed cost of freight vehicles
	The variable cost of transportation process from to
	0-1 variable: 1 means that the order is assigned to warehouse ; otherwise, it is 0
	The load of vehicle from node to node ;
	The service start time for vehicle from node to under time window constraint,
	The upper limit load of warehouse