36 KB7092 KB30 KB199920252008Lujić, RobertoŠarić, TomislavŠimunović, Goran10 straništevilka:3letnik:54str. 179-188ISSN:0039-2480COBISSID:10524699URN:URN:NBN:SI:doc-KY1QEJ5EenAssociation of Mechanical Engineers and Technicians of Slovenia et al.Zveza strojnih inženirjev in tehnikov Slovenije et al.Strojniški vestniknačrtovanje procesovnevronske mrežeumetna inteligencaApplication of neural networks in evaluation of technological time|The traditional approach to the process planning mostly based on experience of technologists, requires a lot of accumulated knowledge, is inflexible and time consuming. The application of artificial intelligence methods can supportand greatly improve this approach. This paper describes the results obtained by investigating the application of neural networks in evaluating the manufacturing parameters and, indirectly, technological time of the seam tube polishing. Various structures of a back-propagation neural network have been analysed and the optimum one with the minimum RMS (Root Mean Square) error selected. The obtained model was integrated into the ERP system (Enterprise Resource Planning system) of a manufacturing company. The more precise evaluations of technological time obtained by the ERP system model complete the previously defined manufacturing operations and form the basis for production planning and times of delivery control. The work of technologists is thus made easier and the production preparation technological time made shorterObičajni pristop k načrtovanju postopkov, ki večinoma temelji na izkušnjah tehnologov, zahteva veliko zbranega znanja, je neprilagodljiv in časovno zamuden. Uporaba metod umetne inteligence lahko pomaga in močno izboljša tak pristop. V prispevku opisujemo rezultate, ki smo jih dobili z raziskavo uporabe nevronskih mrež pri vrednotenju proizvodnih parametrov in posredno tudi tehnološkega časa poliranja cevne zveze. Analizirali smo različne sestave povratnih nevronski mrež ter izbrali optimalno z najmanjšo napako koren srednjih kvadratov (RMS - Root Mean Square). Dobljeni model smo vključili v sistem ERP (Enterprise Resource Planning system) proivodnega podjetja. Z bolj natančnim vrednotenjem tehnološkega časa, dobljenega z modelom sistema ERP smo zaključili predhodno določena proizvodna opravila in oblikovali osnovo za načrtovanje proizvodnje ter časov nadzora dobave. Delo tehnologov je tako enostavnejše, prav tako pa je krajši tehnološki čas priprave proizvodnjeTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Ljubljani, Fakulteta za strojništvo