In this paper, a new predictive-reactive approach to a parallel machine scheduling problem in the presence of uncertain disruptions is presented. The approach developed is based on generating a predictive parallel machine scheduling in such a way as to absorb the effects of possible uncertain disruptions through adding idle times to the job processing times. The uncertain disruption considered ...

When tracks are out of service for maintenance during a certain period, trains cannot be operated on those tracks. This leads to a modified timetable, and results in infeasible rolling stock and crew schedules. Therefore, these schedules need to be repaired. The topic of this paper is the rescheduling of crew. In this paper, we define the Crew Re-Scheduling Problem (CRSP). Furthermore, we show ...

This paper presents a framework to carry out an novel method based Optimal Power Flow (OPF) for transmission congestion management in deregulated power system using Thyristor Controlled Series Capacitor (TCSC) and Generation Rescheduling. In the deregulated environment, some generators may not be willing to participate in the congestion management process for their own economic interest or some...

Under the smart grid environment, demand response resources (DRRs) are introduced as a virtual power plant to enhance power system adequacy. DRRs often fail to reduce their load due to some external factors. In this paper, a reliability model of a DRR is constructed as multi-state conventional generation units, where the probability, frequency of occurrence, and departure rate of each state can...

Rescheduling disrupted railway traffic is computationally hard even for small problem instances. Disruptions may not be known beforehand and can manifest themselves even when trains are en-route, and they are usually resolved by human experts. Wide geographical distribution, a dynamically changing environment, complex interdependencies between multiple components, operational criticality and un...

Progress in activity-based modeling has recently focused on scheduling and rescheduling decisions (e.g. Gärling et al., 1999). In contributing to this line of research, the authors suggested a comprehensive model, called Aurora, of activity rescheduling decisions as a function of time pressure (Timmermans, et al., 2001). While the original paper focused on duration adjustment and schedule compo...

This paper presents a comprehensive review on methods for real-time schedule recovery in transportation services. The survey concentrates on published research on recovery of planned schedules in the occurrence of one or several severe disruptions such as vehicle breakdowns, accidents, and delays. Only vehicle assignment and rescheduling are reviewed; crew scheduling and passenger logistics pro...

The purpose of this chapter is to review the literature on empirical models of debt-rescheduling in international financial markets. The discussion focuses primarily on the statistical techniques that have been developed. These fall into two areas: discriminant-analysis and prob­ abilistic-choice models. We also present other methods that might prove useful in future empirical research in this ...

Compiler writers continue to search for ways to use the ever-increasing number of parallel functional units in modern microarchitectures. The most popular approach today is to build a tracebased instruction scheduler, since they are effective and can be conceptually simple to implement. DAG-based schedulers that look along multiple control paths, instead of along just one as in a trace-based sc...