Now showing items 142-144 of 55032

    • Machine learning demand forecasting and supply chain performance 

      Feizabadi, Javad (Taylor & Francis, 2020-08-04)
      In many supply chains, firms staged in upstream of the chain suffer from variance amplification emanating from demand information distortion in a multi-stage supply chain and, consequently, their operation inefficiency. ...
    • The future of sperm: a biovariability framework for understanding global sperm count trends 

      Boulicault, Marion; Perret, Meg; Galka, Jonathan; Borsa, Alex; Gompers, Annika; e.a. (Taylor & Francis, 2021-05-10)
      The past 50 years have seen heated debate in the reproductive sciences about global trends in human sperm count. In 2017, Levine and colleagues published the largest and most methodologically rigorous meta-regression ...
    • Estimating Pedestrian Flows on Street Networks 

      Sevtsuk, Andres (Taylor & Francis, 2021-10-02)
      City governments and planners alike commonly seek to increase pedestrian activity on city streets as part of broader sustainability, community building, and economic development strategies. Though walkability has received ...