1–9 von 9 Ergebnissen
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    Corporate social responsibility disclosure: The case of international shipping

    Drobetz, Wolfgang / Merikas, Andreas / Merika, Anna et al. | Elsevier | 2014
    Schlagwörter: Markov Chain Monte Carlo

    In-transit perishable product inspection

    White, Chelsea C. III / Cheong, Taesu | Elsevier | 2011
    Schlagwörter: Markov decision processes , Cold supply chain

    Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

    Yan, Yimo / Chow, Andy H.F. / Ho, Chin Pang et al. | Elsevier | 2022
    Schlagwörter: Supply chain , Markov decision process

    Container fleet management in closed-loop supply chains

    Jami, Neil / Fraunhofer-Institut für Techno- und Wirtschaftsmathematik | TIBKAT | 2017
    Schlagwörter: Markov-Entscheidungsprozess , Supply Chain Management

    Probability Based Path Planning of Unmanned Ground Vehicles for Autonomous Surveillance : Through World Decomposition and Modelling of Target Distribution

    Freier Zugriff
    Liljeström, Per | BASE | 2022
    Schlagwörter: Markov chain , Markov process , Markov planner

    Emergent intelligence technique-based transport depot resource management in a metropolitan area

    Chavhan, Suresh / Venkataram, Pallapa | Springer Verlag | 2019
    Schlagwörter: Markov chain model

    Vulnerability-based regionalization for disaster management considering storms and earthquakes

    Chen, Yenming J. / Chang, Kuo-Hao / Sheu, Jiuh-Biing et al. | Elsevier | 2022
    Schlagwörter: Markov chain random field (MCRF) kriging

    NASA Uncertainty Quantification Challenge: An Optimization-Based Methodology and Validation

    Chaudhuri, Anirban / Waycaster, Garrett / Price, Nathaniel et al. | AIAA | 2015
    Schlagwörter: Markov Chain Monte Carlo Based Bayesian Method

    Particle Filter with Operational-Scalable Takagi–Sugeno Fuzzy Degradation Model for Filter-Clogging Prognosis

    Sreenuch, T. / Khan, F. / Li, J. | AIAA | 2015
    Schlagwörter: Markov Chain Monte Carlo Sampling Method