Titlebook: Computational Logistics; 8th International Co Tolga Bektaş,Stefano Coniglio,Stefan Voß Conference proceedings 2017 Springer International P

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Hafiz Mirza,Peter J. Buckley,John R. Sparkesof group jobs (shipper bids) that maximizes profit. This is the underlying winner determination problem in an online auction-based vehicle sharing platform that matches transportation demand and supply, particularly in a B2B last-mile setting. Each shipper bid contains multiple jobs, and each job ha

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Archana R. Dholakia,Ravindra H. Dholakiaa region struck by the disaster. The locations closest to the epicenter are the ones hit hardest and the natural reaction of survivors is to flee from these points, called critical nodes. Lacks or delays in relief distribution amplify this behavior. To reduce this phenomenon, we aim to maximize the

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过于平凡

Arun Kumar Giri,Geetilaxmi Mohapatra problem studied considers the clearing of snow from a network of roads, where there exists precedence relations between the driving lanes and the sidewalks. The goal is to minimize the total time it takes for a heterogeneous fleet of vehicles to clear all the snow from the road network. We describe

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Dualism, Perception and World View,tifying compatible partners. To focus on the problem of coalition formation, we exploit a bi-objective mathematical model for a two echelon location routing problem (2E-LRP) to test if partners fit for the collaboration or not and if opportunity for each partner to make economic and environmental be

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https://doi.org/10.1007/978-3-642-88315-6 under development. In literature there is a lack of research on the different applications and suitable environments for the deployment of ASV..Recently, a detailed definition and categorization of autonomy levels for ASVs has been proposed based on the characteristics of ASVs and existing classifi

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