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Veštačka inteligencija u koncepcijskom projektovanju inteligentnih tehnoloških sistema - pregled stanja u oblasti istraživanja
Artificial intelligence in conceptual design of intelligent manufacturing systems: A state of the art review
dc.creator | Petrović, Milica | |
dc.creator | Miljković, Zoran | |
dc.creator | Babić, Bojan | |
dc.date.accessioned | 2022-09-19T17:06:44Z | |
dc.date.available | 2022-09-19T17:06:44Z | |
dc.date.issued | 2013 | |
dc.identifier.issn | 0040-2176 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/1633 | |
dc.description.abstract | Inteligentni tehnološki sistemi (ITS) predstavljaju najvišu klasu fleksibilnih tehnoloških sistema, koji su zahvaljujući tehnikama veštačke inteligencije u mogućnosti da se prilagode promenama u zahtevima tržišta. U ovom radu je dat detaljan pregled stanja u oblasti istraživanja ITS-a, sa posebnim osvrtom na sledeće funkcije: (i) planiranje i optimizacija tehnoloških procesa, (ii) terminiranje i optimizacija tehnoloških procesa, (iii) integrisano planiranje tehnoloških procesa i terminiranje proizvodnje i (iv) terminiranje transportnih sredstava u unutrašnjem transportu materijala. Istraživanja predstavljena u ovom radu pokazuju da se poboljšanje performansi ITS-a ostvaruje primenom biološki inspirisanih tehnika veštačke inteligencije (neuronske mreže, genetički algoritmi, inteligencija mravljih kolonija i inteligencija roja), kao i metaheurističkim algoritmima (metodi simuliranog kaljenja i tabu pretrage). | sr |
dc.description.abstract | Intelligent manufacturing systems (IMS), as the highest class of flexible manufacturing systems, are able to adapt to market changes applying methods of artificial intelligence. This paper presents a detailed review of the following IMS functions: (i) process planning optimization, (ii) scheduling optimization, (iii) integrated process planning and scheduling, and (iv) mobile robot scheduling for internal material transport tasks. The research presented in this paper shows that improved performances of IMS are achieved with biologically inspired artificial intelligence techniques (neural networks, genetic algorithms, ant colonies and particle swarm optimization), and also by using metaheuristic algorithms (like simulated annealing and tabu search methods). | en |
dc.publisher | Savez inženjera i tehničara Srbije, Beograd | |
dc.relation | info:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35004/RS// | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Tehnika | |
dc.subject | veštačka inteligencija | sr |
dc.subject | terminiranje proizvodnje | sr |
dc.subject | pregled stanja | sr |
dc.subject | planiranje proizvodnje | sr |
dc.subject | optimizacija | sr |
dc.subject | mobilni robot | sr |
dc.subject | koncepcijsko projektovanje | sr |
dc.subject | inteligentni tehnološki sistemi | sr |
dc.subject | scheduling | en |
dc.subject | review | en |
dc.subject | process planning | en |
dc.subject | optimization | en |
dc.subject | mobile robot | en |
dc.subject | intelligent manufacturing systems | en |
dc.subject | conceptual design | en |
dc.subject | artificial intelligence | en |
dc.title | Veštačka inteligencija u koncepcijskom projektovanju inteligentnih tehnoloških sistema - pregled stanja u oblasti istraživanja | sr |
dc.title | Artificial intelligence in conceptual design of intelligent manufacturing systems: A state of the art review | en |
dc.type | article | |
dc.rights.license | BY | |
dc.citation.epage | 885 | |
dc.citation.issue | 5 | |
dc.citation.other | 68(5): 873-885 | |
dc.citation.rank | M51 | |
dc.citation.spage | 873 | |
dc.citation.volume | 68 | |
dc.identifier.fulltext | http://machinery.mas.bg.ac.rs/bitstream/id/485/1630.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_machinery_1633 | |
dc.type.version | publishedVersion |