Due to unforeseen problems, disruptions occur at railway passenger operators. Proper real-time crew management is needed to prevent disruptions to spread over space and time. Netherlands railways (NS) has algorithmic support from a solver to obtain good crew rescheduling solutions during big disruptions. However, small disruptions are still manually solved by human dispatchers who have limited ...

This paper considers proactive scheduling in response to stochastic machine breakdown under deteriorating production environments, where the actual processing time of a job gets longer along with machine’s usage and age. It is assumed that a job’s processing time is controllable by allocating extra resources and the machine breakdown can be described using a given probability distribution. If a...

Abstract A dynamic programming (DP) approach with adaptive state generation and conflicts resolution is developed to address the timetable-rescheduling problem (TRP) at relatively lower computation costs. multi-stage decision-making model first represent procedure in high-speed railways. Then, an method by reordering trains each station proposed dynamically create possible states according of p...

In this paper, the challenging multi-contingency transient stability constrained optimal power flow problem is partitioned into two sub-problems, namely optimal power flow (OPF) and transient stability control, solved in turn with conventional well trusted power system analysis tools instead of tackling it directly using a complicated integrated approach. Preventive multi-contingency transient ...

In recent years, voltage limit violation and power system load-generation imbalance, i.e., line loading limit violation have been responsible for several incidents of major network collapses leading to partial or even complete blackouts. Alleviation of line overloads is the suitable corrective action in this regard. The control action strategies to limit the line loading to the security limits ...

This paper proposes an approach to optimally allocate multiple types of flexible AC transmission system (FACTS) devices in market-based power systems with wind generation. The main objective is to maximize profit by minimizing device investment cost, and the system's operating cost considering both normal conditions and possible contingencies. The proposed method accurately evaluates the long-t...

Rescheduling is a means of managing internal and external disturbances in order to satisfy customer demand subject to resource constraints. The extent and nature of rescheduling have some effects on the overall complexity of the manufacturing facility. Complexity is associated with the variety and uncertainty within manufacturing systems. Complexity can be classified into static and dynamic. St...

This paper presents an overview of recovery models and algorithms for real-time railway disturbance and disruption management. This area is currently an active research area in Operations Research, including real-time timetable rescheduling and real-time rescheduling of the rolling stock and crew duties. These topics are addressed in this paper. Also research dealing with the integration of mor...

Airline rescheduling is a relatively new field in airline Operations Research but increasing amounts of traffic will make disturbances to the original schedule more frequent and more severe. Thus, the need to address the various problems arising from this situation with systematic, cost-efficient approaches is becoming more urgent. One such problem is crew rescheduling where after a disturbance...

This thesis presents results in two areas. The first area is automated planning. Approaches to the domain-independent automated planning can be divided into two groups: STRIPS-like planning (based on operators) and HTNlike planning (based on hierarchical decomposition). It is widely believed, that the expressivity of STRIPS-like planning is lower than the expressivity of HTN-like planning. This...