ii and the calculated CCT (as indicator for transient stability) and MDO (as indicator for oscillatory stability). Input features of ANN are selected to characterize the following: Changes in system topology and power distributions due to outage of major equipment such as transmission line, generation unit or large load Change in fault location and the severity of the fault Variation in loading...

The current state of the art in production planning is still dominated by largely centralized solutions. More distributed approaches require a substantial increase in communication, and network load becomes an important factor. This paper presents a distributed plant automation approach based on mobile software agents and investigates the network load generated by the agents in terms of communi...

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...

We present a continuous time model of sovereign debt with the possibility to renegotiate once the terms of the contract. Renegotiations consist of a debt reduction or a debt rescheduling. The model provides closed-form solutions for debt values with endogenous default policy and renegotiations terms. Simulations indicate that both reduction and rescheduling deals allow the lender and the sovere...

Train dispatching is critical for the punctuality and reliability of rail operations, especially for a complex rail network. This paper develops innovative integer programming models for the problem of train dispatching on an N-track network by means of simultaneously rerouting and rescheduling trains. Based on a time-space network modeling framework, we first adapt a commonly used big-M method...

In this paper, a multi-period and multi-resource operating room (OR) scheduling and rescheduling problem with elective and semi-elective (semi-urgent) patients is addressed. A scheduling-rescheduling framework based on the so-called rolling horizon approach is proposed to solve the problem. The core of the proposed framework is a novel proposed mixed-integer linear programming (MILP) model with...

There has always been a need to solve real-life large-scale problems, such as efficiently allocating limited resources, and other complex and conflicting situations related to combinatorial optimization genre. A class of combinatorial optimization problems is NP-hard and, among many well-known, several of them are assignment, planning and rescheduling problems. Assignment problems can deal with...

This paper considers scheduling problems where the processing of a set of jobs has been scheduled (i.e., planned) to minimize a classical cost objective, under the assumption that the jobs are all available at the start of the planning horizon. Before processing starts, however, the availability of a subset of the jobs is delayed. Therefore, the decision maker needs to adjust the existing sched...

Cyclic scheduling problems concerning multimodal processes are usually observed in FMSs producing multi-type parts where the Automated Guided Vehicles System (AGVS) plays a role of a material handling system. Schedulability analysis of concurrently flowing cyclic processes (SCCP) executed in these kinds of systems can be considered using a declarative modeling framework. Proposed representation...

Monte Zweben Eugene Davis* Brian Daun t Michael Deale$ NASA Ames Research Center M.S. 269-2 Moffett Field, California 94035 This paper presents a new approach to rescheduling called constraint-based iterative repair. This approach gives our system the ability to satisfy domain constraints, address optimization concerns, minimize perturbation to the original schedule, and produce modified schedu...