This paper deals with the problem of selecting service instances to execute workflow processes by not only taking into consideration Quality of Service (QoS) constraints, posed by ...
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
We investigate the application of the likelihood ratio method (LRM) for sensitivity estimation when the relevant density for the underlying model is known only through its charact...
In an assembly line with high labor proportion, the workforce planning and scheduling is a very complex problem. At the background of increasing labor costs, it is very important ...
In this paper, an automation concept is proposed to facilitate the simulation model building for port design problem. Currently, this process, which includes drawing the terminal ...
Loo Hay Lee, Ek Peng Chew, Hai Xing Cheng, Yongbin...