Scheduling is the key to distributed applications performance in large scale heterogeneous environments. For such systems resilience in case of faults can be approached at the level of rescheduling mechanisms. The performance of rescheduling is very important in the context of large scale distributed systems and dynamic behavior. The paper proposes a generic rescheduling algorithm, which can be...

In realistic scenarios of disruption management the high number of potential options makes the provision of decision support – on how to get back on track – complex. It is thus desirable to reduce the size of the regarded problems by applying methods of partial rescheduling. As existing approaches (such as Affected Operations Rescheduling or Matchup Scheduling) mainly focus on production-specif...

Metaschedulers can distribute parts of a Bag-of-Tasks (BoT) application among various resource providers in order to speed up its execution. The expected completion time of the user application is then calculated based on the run time estimates of all applications running and waiting for resources. However, due to inaccurate run time estimates, initial schedules are not those that provide users...

In October 2014, the Drug Enforcement Administration in the U.S. reclassified hydrocodone combination products (HCPs) from Schedule III to Schedule II, initiating one of the most significant and controversial regulatory changes for opioids in recent national history. The aim of the present study was to determine community pharmacist opinions on the effect of the rescheduling of HCPs on their pe...

The paper tackles the problem of managing the uncertainties during the execution of predictive schedules in a dynamic environment. The dynamic environment in question is represented by a simulation model – connected to a production scheduler system – with flexible modelling capabilities. The paper addresses the simulation module of the proposed architecture highlighting its main functionalities...

The paper gives a review of the literature related to the stability measures and describes a new concept with exhaustive simulation results. Predictive production schedules are calculated by a scheduler based on a genetic algorithm, hybridized with a modified Giffler&Thompson algorithm. By applying the proposed scheduler and executing the resulted schedules by simulation, the solution methods f...

Almost all manufacturing facilities need to use production planning and scheduling systems to increase productivity and to reduce production costs. Real-life production operations are subject to a large number of unexpected disruptions that may invalidate the original schedules. In these cases, rescheduling is essential for minimizing the impact in the performance of the system. In this work we...

Railway operations are disrupted frequently, e.g. the Dutch railway network experiences about three large disruptions per day on average. In such a disrupted situation railway operators need to quickly adjust their resource schedules. Nowadays, the timetable, the rolling stock and the crew schedule are recovered in a sequential way. In this paper, we model and solve the crew rescheduling proble...

This paper develops a cross-country statistical model of debt rescheduling, and the secondary market valuation of LDC debt, which links these variables to key structural characteristics of developing countries, such as the trade regime, the degree of income inequality, and the share of agriculture in GNP. Our most striking finding is that higher income inequality is a significant predictor of a...

Operating rooms have become the most important areas in hospitals because of the scarcity and cost of resources. The present study investigates operating room scheduling and rescheduling considering the priority of surgical patients in a specialized hospital. The ultimate purpose of scheduling is to minimize patient waiting time, surgeon idle time between surgeries, and penalties for deviations...