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...

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...

This paper aims at the rescheduling of observing spacecraft imaging plan under uncertainty using ant colony algorithm. First, this paper provides a brief analysis about the uncertainties in spacecraft observation scheduling. And then, this paper establishes the mathematical model and manages to solve the rescheduling problem by ant colony algorithm. Finally, the above method is applied to solve...

Disruption management is one of the newest research paths in scheduling problems due to the growing service quality demanded in the transportation field. This paper presents an approach for the rescheduling of crews using an Ant Colony algorithm for costs optimization. The main goal is to find an optimized recovery solution after the occurrence of unexpected events that make the original assign...

This paper describes the design of a socio-technical research system for the purpose of rescheduling train drivers in the event of disruptions. The research system is structured according to the Actor-Agentparadigm: Here agents assist in rescheduling tasks of train drivers. Coordination between agents is basedon a team formation process in which possible rescheduling alternatives can be...

Unexpected disruptions commonly occur in the railway network, causing delays, and extra cost for operators inconvenience passengers by missing their connection facing overcrowded trains. This paper presents a passenger-centric approach timetable rescheduling case of disruption. We study system which are free to choose itinerary compete over limited train capacity. explicitly model passengers’ d...

Synopsis This paper examines the use of knowledge-based techniques to generate a framework for the active rescheduling of an automated guided vehicle system in a manufacturing environment. Our approach to active resecheduling uses “cues” drawn from events on the shop floor to trigger rescheduling. Simulation experiments are used to capture knowledge about the shop floor and various scheduling s...

Good resource scheduling plays a pivotal role in successful software development projects. However, effective resource scheduling is complicated by such disruptions as requirements changes, urgent bug fixing, incorrect or unexpected process execution, and staff turnover. Such disruptions demand immediate attention, but can also impact the stability of other ongoing projects. Dynamic resource re...

The present study considers a when-to-schedule policy in online production scheduling, which can be applicable to the timing of rescheduling under a dynamic environment with unforeseeable events. This paper extends our previous work and proposes a new hybrid policy for rescheduling introducing rescheduling driven by a cumulative delay and a forced rescheduling to maintain the quality of a curre...