Thesis supervisor: István Attila Piros
belső konzulens: István Németh
Location of studies (in Hungarian): Department of Manufacturing Science and Engineering Abbreviation of location of studies: GTT
Description of the research topic:
a.)
Several research and development projects have been carried out at the Department of Manufacturing Science and Engineering in the topic of systematic design, modelling and optimisation of manufacturing systems especially concentrating on the design of the layout of the equipment (e.g. machine tools, robots, conveyors) within the manufacturing system. Both the systematic design of the spatial arrangement as well as the automatic creation of discrete event simulation models have been investigated in a European research project named COPERNICO. This research direction currently continues in the framework of a European research project called EPIC and a national GINOP research project. Promising results have been published that will have fruitful applications in the age of Industry 4.0 and cyber-physical systems.
b.)
The general aim of this PhD is to develop a new design methodology and software tools that support the automatic creation, evaluation and optimisation of specific types of manufacturing systems.
c.)
• Literature study in the following topics (4 months):
Classification of manufacturing systems;
Modular, flexible and reconfigurable manufacturing systems: equipment, layouts, planning, designing, configuration and reconfiguration methodologies;
Modelling techniques, modelling tools, and automatic model creation techniques of manufacturing systems;
Evaluation methods of manufacturing systems;
Optimisation methods and tools.
• Specifications (1 months):
Definition of the types of manufacturing systems and the corresponding manufacturing processes on which the research and development will focus.
Selection of (at least) two modelling environment within which the research and development activities will be carried out: a discrete event simulation environment and a 3D design environment.
Definition of basic input data such us product-mix, production sequence, layout type, type and number of machine tools, type and number of material handling systems (e.g. conveyor, robot, AGV), type and number of buffers, type of material flow control, space limit, minimal distance between machines, etc.
Definition of key performance indicators and evaluation criteria of the given manufacturing systems, such as utilisation, throughput, lead time, space requirement, energy consumption, etc.
• Population of component libraries and simulation libraries inside the modelling tools (6 months).
• Development of solutions for the automatic creation of 3D models and discrete event simulation models starting from the basic input data (24 months).
• Development of methods for the evaluation of the automatically created manufacturing system models (3 moths).
• Definition of objective functions and development of optimisation methods for the search of optimal manufacturing system layouts (5 months).
• Composing publications as well as the theses and the dissertation (5 months).
a.)
All the necessary software tools and information technology equipment are available at the laboratory of the Department of Manufacturing Science and Engineering.
b.) Várható tudományos eredmények
New design methodology and software tools that support the systematic design of manufacturing systems.
f.)
1. Alice Reina, Ádám Kocsis, Angelo Merlo, István Németh, and Francesco Aggogeri: Maintenance decision support for manufacturing systems based on the minimization of the life cycle cost, Procedia CIRP, Volume 57, 2016, pp. 674-679
2. Csaba Haraszkó, István Németh: DES Configurators for Rapid Virtual Prototyping and Optimisation of Manufacturing Systems, Periodica Polytechnica-Mechanical Engineering, Vol. 59:(3) 2015, pp. 143-152
3. Agyapong-Kodua, Csaba Haraszkó, István Németh: Resource selection ontologies in support of a recipe-based factory design methodology, International Journal of Production Research, Volume 52, Issue 21, 2014, pp. 6235-6253
4. Kwabena Agyapong-Kodua, Csaba Haraszkó, István Námeth: Recipe-based Integrated Semantic Product, Process, Resource (PPR) Digital Modelling Methodology, Procedia CIRP, Volume 17, 2014, pp. 112-117
5. István Németh, János Püspöki, Csaba Haraszkó, Gyula Mátyási, Tibor Nagy, Christopher Freeman, Robin W. Scott, James S. Baldwin: 3D Design Support for Rapid Virtual Prototyping of Manufacturing Systems, Procedia CIRP, Volume 7, 2013, pp. 431-436
6. James Scott Baldwin, Christen Rose-Anderssen, Keith Ridgway, Fabian Boettinger, Marcus Michen, Kwabena Agyapong-Kodua, Ivan Brencsics, Istvan Nemeth, Roland Krain: The Evolution of Manufacturing SPECIES, Procedia CIRP, Volume 7, 2013, pp. 187-192
7. Hendrik Van Brussel, Paul Sas, István Németh, Pierre De Fonseca, and Pieter Van den Braembussche: Towards a mechatronic compiler, IEEE/ASME Transactions on Mechatronics, Vol. 6, No. 1, March 2001, pp. 90-105
8. COPERNICO: Cooperation Environment for Rapid Design, Prototyping and New Integration Concepts for Factory of the Future. European research project, EU FP7 NMP, NMP2-LA-2010-229025, duration: 1 May 2010 – 30 April 2014) http://www.copernico.co/
Required language skills: angol Number of students who can be accepted: 1