The flexible job shop problem (FJSP) has been studied in recent decades due to its dynamic and uncertain nature. Responding a system’s perturbation an intelligent way with minimum energy consumption variation is important matter. Fortunately, thanks the development of artificial intelligence machine learning, lot researchers are using these new techniques solve rescheduling shop. Reinforcement ...

In the present deregulated electricity market, power system congestion is main complication that an independent operator (ISO) faces on a regular basis. Transmission line trigger serious problems for smooth functioning in restructured causing increase cost of transmission hence affecting market efficiency. Thus, it utmost importance investigation various techniques order to relieve network. Gen...

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...

We study the dynamics of the European Air Transport Network by using a multiplex network formalism. We will consider the set of flights of each airline as an interdependent network and we analyze the resilience of the system against random flight failures in the passenger’s rescheduling problem. A comparison between the single-plex approach and the corresponding multiplex one is presented illus...

Transforming the electric power system to incorporating a considerably increased share of renewable distributed generation implicates new challenges for the control of the system. To overcome the known shortcomings of centralized control, e.g. regarding scalability and robustness, a decentralized, self-organized system of agents for generators, loads and storages is widely discussed. We focus o...

This paper discusses optimization of freight train locomotive rescheduling under a disrupted situation in the daily operations in Japan. In the light of the current framework of dispatching processes that passenger railway operators modify the entire timetables, the adjusted timetable is distributed to a freight train operator. We solve the locomotive rescheduling problem for the given adjusted...

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...