The intrinsic and pervasive uncertainty of the real world causes unforeseen disturbances during the execution of plans. The continuous adaptation of existing schedules is necessary in response to the corresponding disruptions. Affected Operations Rescheduling (AOR) and Matchup Scheduling (MUP) have proven to be efficient techniques for this purpose, as they take only a subset of future activiti...

The deregulation of power system has created an environment of competitiveness among different market players and the transmission lines are forced to operate near to their thermal or stability limits. It is a challenge with System Operators (SO) to ensure a secure and reliable transmission of power under these conditions. This paper proposes a rescheduling based congestion management strategy ...

The hybrid flow shop is a typical discrete manufacturing system. A novel method is proposed to solve the shop scheduling problem featured with uncertain processing times. The rolling horizon strategy is adopted to evaluate the difference between a predictive plan and the actual production process in terms of job delivery time. The genetic regulatory network-based rescheduling algorithm revises ...

Disruptions of a railway system are responsible for longer travel times and much discomfort for the passengers. Since disruptions are inevitable, the railway system should be prepared to deal with them effectively. This paper explains that, in case of a disruption, rescheduling the timetable, the rolling stock circulation, and the crew duties is so complex that solving them manually is too time...

This paper presents novel corrective control actions to alleviate overloads in transmission lines by the Particle Swarm Optimization (PSO) method. Generator rescheduling and/or load shedding is performed locally, to restore the system from abnormal to normal operating state. The appropriate identification of generators and load buses to perform the corrective control action is an important task...

Abstract. This paper proposes an approach to monitoring and scheduling methods for repetitive MIMO-FIFO DESs. We use max-plus algebra for modeling and formulation, known as an effective approach for controller design for this type of system. Because a certain type of linear equations in max-plus algebra can represent the system’s behavior, the principal concerns in past researches were how to s...

This paper introduces a modified shifting bottleneck approach to solve train scheduling and rescheduling problems. The problem is formulated as a job shop scheduling model and a mixed integer linear programming model is also presented. The shifting bottleneck procedure is a wellestablished heuristic method for obtaining solutions to the job shop and other machine scheduling problems. We modify ...

This demonstration presents recent developments in the MAS@NS project: a collaboration between Netherlands Railways and the D-CIS Lab to explore the effectiveness and suitability of a decentralized multi-agent approach to crew rescheduling. The project (launched in 2007) was reported on earlier at BNAIC’08 [1] and other conferences ([2], [3]). These publications describe the problem domain and ...

Allocation of resources whether man power or tools are ubiquitous tasks in factories hospitals airline and communication network companies It is also an example of many decision making problems involving complex and changing criteria It presents unusual challenges to information systems both from modeling and problem solving points of view This paper presents an application of information visua...

Scheduling of jobs to a computational grid is a permanent process due to the dynamic nature of the grid and the frequent arrival of new jobs. Thus, a permanent rescheduling of already planned and new jobs must be performed. This paper will continue and extend previous work, which focused on the tuning of our Global Optimising Resource Broker and Allocator GORBA in a static planning environment....