This work proposes a post-disaster demand-oriented emergency logistics operational model that aims at disaster relief–service distribution to maximize survivor resilience. Rooted in survival psychology and cognition theories, this work proposes a conceptual model which hypothesizes...

In this paper, train scheduling problem (TSCP) is discussed for the case of single-track railway corridor, in which variable sensitivity on train delay are discussed in detailed for different types of trains. The mathematical model is a complicated nonlinear mixed-integer programming. The object...

Real-time section-wide lane traffic variables such as density and lane-changing are vital to traffic control and management in urban areas. They can be used as decision variables to determine traffic control and management strategies in real time as well as characterize road traffic congestion...

This paper presents a hybrid neuro-fuzzy methodology to identify appropriate global logistics (GL) operational modes used for global supply chain management. The proposed methodological framework includes three main developmental phases: (1) establishment of a GL strategic hierarchy, (2)...