“Transportation Management Practices” Systematic Course Model Based on the Integration of School and Enterprise

Author(s):  
Li-juan Que ◽  
Hui-yun Gao
1999 ◽  
Vol 18 (3-4) ◽  
pp. 203-212
Author(s):  
Geir Hasle

The recent trend towards globalisation, with a tendency towards geographical distribution of manufacturing in distributed enterprises, has generally increased the complexity of transportation management. Other driving forces towards higher complexity in transportation logistics are the implementation of Just-In-Time principles, the explosion of Internet trade (including home shopping), a strengthening of environmental concerns, and the implementation of new legislation. Moreover, there is higher emphasis on customer service, timeliness, reactivity, and efficiency in the transportation function. We may safely conclude that there is a need for highly optimised transportation management practices at the strategic, tactical and operational control levels. Today, lack of planning and co-ordination is the cause of excess travel for commercial vehicles, with detrimental effects on economy and the environment. In distributed enterprises, these tasks (if supported at all) typically use isolated IT tools that cannot address the full problem, fail to address important constraints, cannot balance partially conflicting objectives, do not react to dynamics, and, cannot interact with the user in a timely and meaningful way. Recent advances in Information and Communication Technologies have enabled us to remedy these shortcomings. As a point in case, the GreenTrip Esprit project has developed a rapidly re-configurable, generic software tool for optimised transportation management. With GreenTrip as an illustration, this paper will describe state-of-the-art decision-support tools in transportation logistics, their underpinning technologies, and their possible impacts on business.


2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.


Sign in / Sign up

Export Citation Format

Share Document