Goodson JC (2015) A priori policy evaluation and cyclic-order-based simulated annealing for the multi-compartment vehicle routing problem with stochastic demands. Gómez A, Mariño R, Akhavan-Tabatabaei R, Medaglia AL, Mendoza JE (2015) On modeling stochastic travel and service times in vehicle routing. Gauvin C, Desaulniers G, Gendreau M (2014) A branch-cut-and-price algorithm for the vehicle routing problem with stochastic demands. Trans Res Part E Logist Trans Rev 64:88–102Ĭoelho LC, Cordeau J-F, Laporte G (2013) Thirty years of inventory routing. Asia-Pacific J Oper Res 27(03):301–314Ĭhen L, Hà MH, Langevin A, Gendreau M (2014) Optimizing road network daily maintenance operations with stochastic service and travel times. Netw Spatial Econ 6(3–4):293–311īeraldi P, Ghiani G, Musmanno R, Vocaturo F (2010) Efficient neighborhood search for the probabilistic multi-vehicle pickup and delivery problem. Comput Oper Res 37(9):1515–1536Īndo N, Taniguchi E (2006) Travel time reliability in vehicle routing and scheduling with time windows. Trans Sci 41(2):222–237Īndersson H, Hoff A, Christiansen M, Hasle G, Løkketangen A (2010) Industrial aspects and literature survey: combined inventory management and routing. Trans Res Part E Logist Trans Rev 53:63–82Īk A, Erera AL (2007) A paired-vehicle recourse strategy for the vehicle-routing problem with stochastic demands. Computational tests on informational collections represent the productivity and adequacy of the proposed methodology.Īhmadi-Javid A, Seddighi AH (2013) A location-routing problem with disruption risk. In the initial step, the exhibition of the proposed methodologies is checked in static conditions and after that, different presumptions and improvements are included progressively, and changes are analyzed. The presentation of the proposed methodology is assessed in various strides on different test issues summed up from a lot of static occasions in the writing. The manuscript utilizes an immediate understanding of the multi-target dynamic vehicle-directing issue with fuzzy time series as a multi-target issue where the required armada measure, generally all out voyaging separation, and hold-up time forced on vehicles are limited, and the general clients' inclinations for administration are boosted. In this issue, majority of the work where information is known ahead of time, some setoff ongoing solicitations arrive arbitrarily after some time and the dispatcher does not have any deterministic or probabilistic data on the area and size of them until they arrive. In the present research, a multi-target dynamic vehicle-directing issue with fuzzy time series is displayed. Plainly, disregarding the way that the movement time between two areas does not depend just on the separation voyaged, yet on numerous different variables including time, sways the use of the models to genuine issues. Utmost models for vehicle steering detailed in the writing accept consistent travel times.
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