A SAMPLING-BASED WINNER DETERMINATION MODEL AND ALGORITHM FOR LOGISTICS SERVICE PROCUREMENT AUCTIONS UNDER DOUBLE UNCERTAINTY

A sampling-based winner determination model and algorithm for logistics service procurement auctions under double uncertainty

Abstract This paper studies the winner determination problem under disruption and demand uncertainty from the perspective of fourth-party logistics platform.To hedge risks brought by double uncertainty, a hybrid mitigation strategy that integrates temporary outsourcing strategy and fortification strategy is developed.With the objective of minimizin

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Biometric characters of seeds and wings as markers of geographical differentiation between European scots pine (Pinus sylvestris L.) provenances

Biometric characters of seeds and wings served to describe interprovenance differentiation of Scots pine in Europe.Grouping analysis was applied, Mahalanobis distances were calculated as well as Hotellings T2 statistics were applied.The similarity of East European and Finnish provenances was conspicuous.The provenance from Scotland proved to be sim

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