A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The Emergency Vehicle Routing Problem with Uncertain Demand under Sustainability Environments
The reasonable utilization of limited resources is critical to realize the sustainable developments. In the initial 72-h crucial rescue period after the disaster, emergency supplies have always been insufficient and the demands in the affected area have always been uncertain. In order to improve timeliness, utilization and sustainability of emergency service, the allocation of the emergency supplies and the emergency vehicle routes should be determined simultaneously. Assuming the uncertain demands follow normal distribution, an optimization model for the emergency vehicle routing, by considering the insufficient supplies and the uncertain demands, is developed. The objective function is applied to minimize the total costs, including the penalty costs induced by more or less supplies than the actual demands at all demand points, as well as the constraints of the time windows and vehicle load capacity taken into account. In more details, a solution method for the model, based on the genetic algorithm, is proposed, which solves the problem in two stages. A numerical example is presented to demonstrate the efficiency and validity of the proposed model and algorithm.
The Emergency Vehicle Routing Problem with Uncertain Demand under Sustainability Environments
The reasonable utilization of limited resources is critical to realize the sustainable developments. In the initial 72-h crucial rescue period after the disaster, emergency supplies have always been insufficient and the demands in the affected area have always been uncertain. In order to improve timeliness, utilization and sustainability of emergency service, the allocation of the emergency supplies and the emergency vehicle routes should be determined simultaneously. Assuming the uncertain demands follow normal distribution, an optimization model for the emergency vehicle routing, by considering the insufficient supplies and the uncertain demands, is developed. The objective function is applied to minimize the total costs, including the penalty costs induced by more or less supplies than the actual demands at all demand points, as well as the constraints of the time windows and vehicle load capacity taken into account. In more details, a solution method for the model, based on the genetic algorithm, is proposed, which solves the problem in two stages. A numerical example is presented to demonstrate the efficiency and validity of the proposed model and algorithm.
The Emergency Vehicle Routing Problem with Uncertain Demand under Sustainability Environments
Jin Qin (author) / Yong Ye (author) / Bi-rong Cheng (author) / Xiaobo Zhao (author) / Linling Ni (author)
2017
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Vehicle routing in the case of uncertain demand: a Bayesian approach
| Taylor & Francis Verlag | 1995
VEHICLE ROUTING IN THE CASE OF UNCERTAIN DEMAND: A BAYESIAN APPROACH
| Online Contents | 1995
Single-Point Approximations for Traffic Equilibrium Problem Under Uncertain Demand
| British Library Online Contents | 2006
Vehicle Routing and Scheduling Problem with Time Windows and Stochastic Demand
| British Library Online Contents | 2004