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Implementation of Genetic Algorithm as the Part of Dicrete Simulation in Production Planning


PIROVIC, Davor; GUDLIN, Mihael; ĆOSIĆ, Predrag
Implementation of Genetic Algorithm as the Part of Dicrete Simulation in Production Planning // Proceedings of 1st Regional Conference - Mechatronics in Practice and Education MECH - CONF 2011 / Firtstner (ur.).
Subotica, 2011. str. x1-x2 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Implementation of Genetic Algorithm as the Part of Dicrete Simulation in Production Planning

Autori
PIROVIC, Davor ; GUDLIN, Mihael ; ĆOSIĆ, Predrag

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 1st Regional Conference - Mechatronics in Practice and Education MECH - CONF 2011 / Firtstner - Subotica, 2011, X1-x2

Skup
1st Regional Conference - Mechatronics in Practice and Education MECH - CONF 2011

Mjesto i datum
Subotica, 08-10.12.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
process planning ; production planning ; discrete simulation ; genetic algorithm

Sažetak
The survival and growth of businesses in today's market is based on constant innovation and new product development. Business innovation must take place at all levels, from products, processes to the organization itself, in order to bring about improvements in competitiveness and business efficiency. Furthermore, the number of different components of many products, and, consequently, the demands for the appropriate manufacturing processes and operations, have also increased manifold. We can respond to such demands and manage the appropriate tools to simulate the activities and processes within the factory in the virtual world. The simulation of the entire flow of materials, including all significant activities of production, storage and transportation are key requirements for quality production planning and the necessary manufacturing processes. Discrete simulations, i.e. the applications used for running this type of simulation provide the possibility of creating different scenarios concerning cases of different production parameters, the burden of production capacities, as well as their delays and failures. A further step in the development of the simulation model is the creation of a genetic algorithm for the purpose of minimizing costs and delivery times of products.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekti:
120-1521781-3116 - UTJECAJ PROCESA PROIZVODNJE NA KOMPETITIVNOST I ODRŽIVOST RAZVOJA (Ćosić, Predrag, MZOS ) ( POIROT)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Mihael Gudlin (autor)

Avatar Url Predrag Ćosić (autor)

Citiraj ovu publikaciju

PIROVIC, Davor; GUDLIN, Mihael; ĆOSIĆ, Predrag
Implementation of Genetic Algorithm as the Part of Dicrete Simulation in Production Planning // Proceedings of 1st Regional Conference - Mechatronics in Practice and Education MECH - CONF 2011 / Firtstner (ur.).
Subotica, 2011. str. x1-x2 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
PIROVIC, D., GUDLIN, M. & ĆOSIĆ, P. (2011) Implementation of Genetic Algorithm as the Part of Dicrete Simulation in Production Planning. U: Firtstner (ur.)Proceedings of 1st Regional Conference - Mechatronics in Practice and Education MECH - CONF 2011.
@article{article, year = {2011}, pages = {x1-x2}, keywords = {process planning, production planning, discrete simulation, genetic algorithm}, title = {Implementation of Genetic Algorithm as the Part of Dicrete Simulation in Production Planning}, keyword = {process planning, production planning, discrete simulation, genetic algorithm}, publisherplace = {Subotica} }
@article{article, year = {2011}, pages = {x1-x2}, keywords = {process planning, production planning, discrete simulation, genetic algorithm}, title = {Implementation of Genetic Algorithm as the Part of Dicrete Simulation in Production Planning}, keyword = {process planning, production planning, discrete simulation, genetic algorithm}, publisherplace = {Subotica} }




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