Using parallel & distributed computing for real-time solving of vehicle routing problems with stochastic demands

This paper focuses on the Vehicle Routing Problem with Stochastic Demands (VRPSD) and discusses how Parallel and Distributed Computing Systems can be employed to efficiently solve the VRPSD. Our approach deals with uncertainty in the customer demands by considering safety stocks, i.e. when designing...

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Bibliographic Details
Published in:	Annals of operations research Vol. 207; no. 1; pp. 43 - 65
Main Authors:	Juan, Angel A., Faulin, Javier, Jorba, Josep, Caceres, Jose, Marquès, Joan Manuel
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.08.2013 Springer Springer Nature B.V
Subjects:	Algorithms Business and Management Combinatorics Computer networks Computer simulation Customers Demand Distributed processing Distributed processing (Computers) Marketing Mobile communication systems Monte Carlo simulation Operations research Operations Research/Decision Theory Optimization Parallel processing Probability distribution Random variables Routing Safety stocks Small & medium sized enterprises-SME Stochastic analysis Studies Theory of Computation Traveling salesman problem Vehicles Wireless communication systems Spain Probabilistic algorithms Parallel and distributed computing Vehicle routing problem with stochastic demands Heuristics Monte Carlo simulation
ISSN:	0254-5330, 1572-9338
Online Access:	Get full text
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