National Repository of Grey Literature 50 records found  1 - 10nextend  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.
Application for Generating of School Schedules
Fiala, Jan ; Horáček, Jan (referee) ; Rozman, Jaroslav (advisor)
This work deals with problem of generating school schedules. The solution is based on three heuristic algorithms (hill-climbing, simulated annealing, genetic algorithm) and is fully implemented in JAVA. It provides a comparison of implemented heuristic algorithms including description of their pros and cons.
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.
Optimization of Production Processes
Halas, David ; Dvořák, Jiří (referee) ; Popela, Pavel (advisor)
This thesis deals with modelling diffenrent types of production lines. Modeling is done by the mathematical programming and simulation methods. Optimization related computations are mostly implemented in program GAMS. Simulation is realized by using program Matlab/SimEvents. The results are presented by the Gantt diagrams.
Genetic Algorithms and Scheduling
Škrabal, Ondřej ; Popela, Pavel (referee) ; Roupec, Jan (advisor)
This work deals with scheduling problem in particular plastic production service. The solution is based on heuristic algorithms, programming languages C + +, C # and is built on the .NET framework and LINQ to XML. It provides the users with comparisons of the heuristic approach with genetic algorithms applied to production problem. All methods results are compared in relation to hand-arranged plans.
Industry 4.0 planner
Kubásek, Martin ; Chromý, Adam (referee) ; Burian, František (advisor)
This thesis deals with the design of manufacturing planner for Industry 4.0 testbed. Before design the terms Industry 4.0, MES, ERP are explained. Then the problems concerning this testbed are explained and a possible solution is shown. This solution was supplied as part of the assignment. Planner was made around this solution and its structure and algorithms were shown. Planner is written as a C# application, which generates manufacturing plan from MES input data. This input data is downloaded through REST connection, output is saved to a JSON file. Finally, the results of this planner are shown as a report in xlsx table. The planner can successfully generate a manufacturing plan for Industry 4.0 testbed.
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.
Comparison of Programs for Scheduling
Kubalcová, Monika ; Martinek, David (referee) ; Křena, Bohuslav (advisor)
This thesis deals with timetabling issues at the Faculty of Information Technology, Brno University of Technology. It focuses mainly on scheduling of lectures and exams for students. In first part, the current situation, restrictive conditions and actual procedure are described. Afterwards, theoretical aspects of scheduling problem are discussed. In the second part of the thesis, selected software application for automatic generation of timetables are compared. The most suitable application is then evaluated by producing a real timetable. The achieved results are discussed and the future directions are suggested in the conclusion.
Petri Nets Application in Domain of Information Systems Project Planning
Němec, Michal ; Janoušek, Vladimír (referee) ; Květoňová, Šárka (advisor)
Master's thesis deals with Petri nets application in domain of information systems project planning. The design describes the basic concepts of project and portfolio management, standards and methodologies. Is introduced the concept of project, portfolio and resource modelling through Object-oriented Petri Nets. Then schedulling is implemented and tested. Finally, the extensions are discussed.
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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