In production management, efficient scheduling is key towards smooth and balanced production. Scheduling can be well-supported by real-time data acquisition systems, resulting in decisions that rely on actual or predicted status of environment jobs progress. Utilizing advanced monitoring prediction-based rescheduling method proposed react in-process scrap predictions, performed machine learning...

Congestion management is one of the major tasks performed by system operators to ensure the operation of transmission system within operating limits. In the emerging electric power market, the congestion management becomes extremely important and it can impose a barrier to the electricity trading. This paper presents a new method of Speed Particle Swarm Optimization with Time-Varying Accelerati...

The locational Marginal Pricing (LMP) is very important issue in deregulated environment. This paper provides a method to minimize the locational marginal pricing in the energy market. This market works under locational marginal pricing, i.e., generating units and demand loads are paid and pay, respectively, the locational marginal prices corresponding to the nodes they are connected to. An ind...

This talk corresponds to the paper 8] with the same name. 1 Motivation Multigrid solves a set of simultaneous linear equations optimally. That is the time and space used by the multigrid computation are proportional to N, the number of unknowns. In reality the performance of any computation is not just dictated by how many operations performed. The order of the operations and the layout of data...

Technological advancements, such as smart appliances, have enabled residential buildings to become a true Cyber-Physical System (CPS), where the devices correspond to the physical system and the smart computation and control mechanisms define the cyber part. An important aspect of these residential cyber-physical systems is their large portion of the overall energy consumption in the electric g...

In this paper a new approach is presented to solve multi-objective production scheduling and rescheduling problems. Furthermore the relationship between production goals and heuristic solving methods in an extended flexible flow shop environment is also investigated. We define production goals by specifying objective functions and apply special production constraints for the extended flow shop ...