National Repository of Grey Literature 11 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
Automated Planning and Scheduling in Manufacturing
Bucher, Michal ; Kočí, Radek (referee) ; Hrubý, Martin (advisor)
Thesis deals with a problem of automated planning and scheduling in manufacturing. Problem is formally defined by mathematical model Resource Constrained Project Scheduling Problem. Based on this model scheduling system was developed, which is using the optimizer based on Genetic algoritms. Developed system was then tested in real manufacturing. System can also visualize schedules in form of Gantt chart.
Process Control with Dynamic Resource Scheduling
Šinkora, Jan ; Kočí, Radek (referee) ; Janoušek, Vladimír (advisor)
This project pursues issues on the border of information technologies and process optimization. Previously published concepts of~modeling projects and shared resources with object-oriented Petri nets are presented and further expanded. The possibilites of~the use of~genetic algorithms for dynamic realtime optimization of the resource schedules are explored. The resource constrained project sheduling problem is presented and it is shown, how instances of the problem can be implemented. A more complex model that is inspired by real production systems is then created. Next, a control agent, which monitors a running production system and allows for it's dynamic optimization is designed. The whole system is implemented in the Squeak Smalltalk environment with the use of the tool PNtalk, which is an experimental implementation of the object oriented Petri nets paradigm.
Meta-Heuristic Solution in RCPSP
Šebek, Petr ; Kočí, Radek (referee) ; Hrubý, Martin (advisor)
This thesis deals with the description of the state of resource-constrained project scheduling problem. It defines the formal problem and its complexity. It also describes variants of this problem. Algorithms for solving RCPSP are presented. Heuristic genetic algorithm GARTH is analyzed in depth. The implementation of prototypes solving RCPSP using GARTH is outlined. Several improvements to the original algorithm are designed and evaluated.
Real-Time Optimizations in Industrial Production
Křen, Michal ; Kočí, Radek (referee) ; Hrubý, Martin (advisor)
The thesis deals with the scheduling problem of manufacturing operations in industrial production. This problem is described as the well-known the Resource-Constrained Project Scheduling Problem. The objective of this problem is to find an optimal assignment of operations to limited resources. Optimizer created for the thesis uses a genetic algorithm to solve the scheduling problem. For the purpose of a dynamic scheduling, a failures model was designed and a system with real-time optimizer, that is able to repair the original schedule fluently, was created. In the real-time optimizer, several solution methods were implemented and these solution methods underwent a number of experiments. The system thus created is also able to simulate manufacturing operations and draw a Gantt chart.
Project Scheduling with Dynamic Reconfigurations and Maintenance
Halčin, Marián ; Kočí, Radek (referee) ; Hrubý, Martin (advisor)
Thesis deals with the topic of computational scheduling of production with dynamic reconfigurations and maintenance. The problem is formally defined by a mathematical model named Resource Constrained Project Scheduling Problem which was extended by dynamic reconfiguration and maintenance. Number of different schedule generation algorithms were proposed based on this model. Also methods of solution optimization based on genetic algorithms were described. The typology of production orders of which different task types are created was described in the experimental part. The result of the experiments is clear recommendation of scheduling algorithm for given task type. For the conclusion, thesis deals with the case study of choice of suitable solution for specific production companies.
Automated Planning and Scheduling in Manufacturing
Bucher, Michal ; Kočí, Radek (referee) ; Hrubý, Martin (advisor)
Thesis deals with a problem of automated planning and scheduling in manufacturing. Problem is formally defined by mathematical model Resource Constrained Project Scheduling Problem. Based on this model scheduling system was developed, which is using the optimizer based on Genetic algoritms. Developed system was then tested in real manufacturing. System can also visualize schedules in form of Gantt chart.
Project Scheduling with Dynamic Reconfigurations and Maintenance
Halčin, Marián ; Kočí, Radek (referee) ; Hrubý, Martin (advisor)
Thesis deals with the topic of computational scheduling of production with dynamic reconfigurations and maintenance. The problem is formally defined by a mathematical model named Resource Constrained Project Scheduling Problem which was extended by dynamic reconfiguration and maintenance. Number of different schedule generation algorithms were proposed based on this model. Also methods of solution optimization based on genetic algorithms were described. The typology of production orders of which different task types are created was described in the experimental part. The result of the experiments is clear recommendation of scheduling algorithm for given task type. For the conclusion, thesis deals with the case study of choice of suitable solution for specific production companies.
Computer Optimization and Visualization of Production Schedules
Halčin, Marián ; Kočí, Radek (referee) ; Hrubý, Martin (advisor)
Thesis deals with a problem of scheduling manufacturing operations considering limited resources. Problem is formally defined by mathematical model named Resource Constrained Project Scheduling Problem. According to this model, a system has been developed for creating schedules and optimizer based on principles of Genetic Algorithms. Further there has been created program providing user interface that uses Gantt chart to visualize schedule and allows manual editing of the schedule. Solution was applied in environment of real manufacturing. Using data obtained from factory, experiments have performed to test implementation of genetic algorithm.
Process Control with Dynamic Resource Scheduling
Šinkora, Jan ; Kočí, Radek (referee) ; Janoušek, Vladimír (advisor)
This project pursues issues on the border of information technologies and process optimization. Previously published concepts of~modeling projects and shared resources with object-oriented Petri nets are presented and further expanded. The possibilites of~the use of~genetic algorithms for dynamic realtime optimization of the resource schedules are explored. The resource constrained project sheduling problem is presented and it is shown, how instances of the problem can be implemented. A more complex model that is inspired by real production systems is then created. Next, a control agent, which monitors a running production system and allows for it's dynamic optimization is designed. The whole system is implemented in the Squeak Smalltalk environment with the use of the tool PNtalk, which is an experimental implementation of the object oriented Petri nets paradigm.
Real-Time Optimizations in Industrial Production
Křen, Michal ; Kočí, Radek (referee) ; Hrubý, Martin (advisor)
The thesis deals with the scheduling problem of manufacturing operations in industrial production. This problem is described as the well-known the Resource-Constrained Project Scheduling Problem. The objective of this problem is to find an optimal assignment of operations to limited resources. Optimizer created for the thesis uses a genetic algorithm to solve the scheduling problem. For the purpose of a dynamic scheduling, a failures model was designed and a system with real-time optimizer, that is able to repair the original schedule fluently, was created. In the real-time optimizer, several solution methods were implemented and these solution methods underwent a number of experiments. The system thus created is also able to simulate manufacturing operations and draw a Gantt chart.

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