Using Process Variants in Design of Flow Management Systems

Author(s):  
Jānis Grabis
1999 ◽  
Vol 14 (2) ◽  
pp. 149-160 ◽  
Author(s):  
Neil F. Doherty ◽  
I. Perry

Work flow management systems (WFMSs) are an important new technology, which are likely to have a significant impact on the way in which clerical and administrative operations are organized and executed. This paper seeks to investigate how WFMSs are being exploited and used commercially by UK-based organizations operating in the financial services sector. In-depth interviews were conducted with 14 project managers to explore the development, application and commercial implications of this powerful yet flexible technology. The results indicate that work flow technology has the potential to facilitate significant changes in the way in which an organization conducts its business, through the automation of a wide range of document-intensive operations. Furthermore, when applied in a well-focused manner, it has the potential to realize significant increases in an organization's flexibility and productivity, as well as delivering major improvements to the quality, speed and consistency of customer service.


Author(s):  
Richard Field ◽  
James P. Heaney ◽  
Robert Pitt

2021 ◽  
Vol 73 (2) ◽  
pp. 81-91
Author(s):  
S.A. LYAPIN ◽  
◽  
Y.N. RIZAEVA ◽  
D.A. KADASEV ◽  
◽  
...  

The article shows that with the growing traffic on motorways, the demand for modern traffic management systems for effective traffic flow management is generated. Based on the analysis of the METANET model and algorithms for managing the entrance to the highway, an algorithm is proposed that uses the capabilities of an intelligent transport and logistics system to implement proactive traffic management. The possibility of using self-driving cars to supplement the information about traffic characteristics obtained from stationary sensors of the transport infrastructure of the intelligent transport and logistics system is analyzed.


2014 ◽  
Vol 668-669 ◽  
pp. 1037-1040 ◽  
Author(s):  
Qian Wu

The probabilistic distribution of Airport arrival and departure delays over a selected period of eight months was analyzed using an optimal Generalized Extreme Value (GEV) model in this paper. It is anticipated that quantitative stochastic characterizations of delay data out of our work would improve demand predictions in air traffic flow management systems. Analysis and verification through application of Beijing Capital International Airport’s history flight delay data demonstrate better Goodness of Fit of our optimal GEV based model.


2020 ◽  
Vol 28 (0) ◽  
pp. 588-598
Author(s):  
Giorgio Forcina ◽  
Ali Sedaghatbaf ◽  
Stephan Baumgart ◽  
Ali Jafari ◽  
Ehsan Khamespanah ◽  
...  

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