a common problem arising in project management is the fact that the baseline schedule is often disrupted during the project execution because of uncertain parameters. as a result, project managers are often unable to meet the deadline time of the milestones. robust project scheduling is an effective approach in case of uncertainty. upon adopting this approach, schedules are protected against po...

Abstract Some authors claim that minimal models have limited epistemic value (Fumagalli, 2016; Grüne-Yanoff, 2009a). Others defend the benefits of modelling by invoking role robustness analysis for hypothesis confirmation (see, e.g., Levins, 1966; Kuorikoski et al., 2010) but such arguments find much resistance Odenbaugh & Alexandrova, 2011). In this paper, we offer a Bayesian rationalizati...

an optimal desirability function method is proposed to optimize multiple responses in multiple production scenarios, simultaneously. in dynamic environments, changes in production requirements in each condition create different production scenarios. therefore, in multiple production scenarios like producing in several production lines with different technologies in a factory, various fitted res...

Structural controllability, which is an interesting property of complex networks, attracts many researchers from various fields. The maximum matching algorithm was recently applied to explore the minimum number of driver nodes, where control signals are injected, for controlling the whole network. Here we study the controllability of directed Erdös–Rényi and scale-free networks under attacks an...

Many software systems are naturally modeled as networks of interacting elements such as computing nodes, input devices, and output devices. In this paper, we present a notion of robustness for a networked system when the underlying network is prone to errors. We model such a system N as a set of processes that communicate with each other over a set of internal channels, and interact with the ou...