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This paper deals with the optimization of vehicle routing problem in which multiple depots, multiple customers, and multiple products are considered. Since the total traveling time is not always restrictive as a time window constraint, the objective regarded in this paper comprises not only the cost due to the total traveling distance, but also the cost due to the total traveling time. We propose...
As part of solutions to the technical problem of logistics distribution, vehicle routing problem (VRP) is getting more and more attention in academics and enterprises, it belongs to the NP-hard problem theoretically. VRP with time windows and capacity constraint in stochastic traffic network was studied based on travel time reliability . Firstly, travel time was expressed as a random variable according...
The Vehicle Routing Problem (VRP) is of considerable economic significance in logistic systems as it manages the distribution of goods to make an efficient transportation system. Considering a practical application, this paper solves a vehicle routing problem with stochastic demand (VRPSD) in which the customer demand has been modeled as a stochastic variable as opposed to conventional VRP. To deal...
VMI (vendor managed inventory) policy coordinates effectively the antinomy between the inventory and the transportation within logistics distribution system. Under VMI mode, integrating inventory and transportation of the supplier and the demander as a whole is considered to achieve the optimization of total distribution cost. In view of typical one-warehouse multiretailer distribution network in...
This work proposes the use of pre-defined generalized stochastic Petri net (GSPN) components to model and evaluate outbound logistics. The modeling process takes into account the automatic generation of these stochastic models from high-level end-user-oriented descriptions. The model resultant from this translation is guaranteed to have some expected Petri nets' properties. The Stochastic Logistics...
Location-routing-inventory problem (LRIP) involves the decisions of three key problems in optimizing a logistics system, i.e. facility location-allocation, vehicle routing, and inventory control. In this paper, a model for the multi-period, multi-depot LRIP with stochastic customer demand in logistics distribution systems is developed. And a mixed genetic algorithm is proposed to solve the model....
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