Search Results

1 - 10 of 617 items :

  • "production systems" x
Clear All

, Jakop M. Pridelovanje buč golic. Kmetovalec. 1994;5:6-7. 5. Bavec F, Jakop M, Grobelnik Mlakar S, Robačer M, Bavec M. Alternative field crops under different production systems, crop rotations as a basic principal for adaptation to climate changes and quality feed - food supply. Finale report CRP 2011-2014 V4-1137. University of Maribor, Faculty of Agriculture and Life Sciences. 2014;88. 6. Bavec M, Mlakar SG, Rozman C, Pazek K, Bavec F. Sustainable agriculture based on integrated and organic guidelines: understanding terms-the case of Slovenian development and

References 1. E. V. G. D. V. Z. D. Mourtzis, “Cyber-Physical Systems and Education 4.0 –The Teaching Factory 4.0 Concept,” Procedia Manufacturing, vol. 23, pp. 129-134, 2018. 2. “ SmartFactory KL,” [Online]. Available: https://smartfactory.de . [Accessed 2019]. 3. A. P. J. P. Iris Gräßler, “Creation of a Learning Factory for Cyber Physical Production Systems,” Procedia CIRP, vol. 54, pp. 107-112, 2016. 4. R. J. B. G. E. J. N. Zsolt Kemeny, “The MTA SZTAKI Smart Factory: platform for research and project-oriented skill development in higher education,” Procedia

.S. (2017). Effect of production system on foot pad dermatitis (FPD) and plumage quality of geese. Europ. Poult. Sci., 81. El-Edel M.A., El-Kholya S.Z., Abou-Ismail U.A. (2015). The effects of housing systems on behaviour, productive performance and immune response to avian influenza vaccine in three breeds of ducks. Int. J Agric. Innov. Res., 3: 1496–1505. El-Hanoun A.M., Attia Y.A., Gad H.A.M., Abdella M.M. (2012). Effect of different managerial systems on productive and reproductive traits, blood plasma hormones and serum biochemical constituents of geese. Animal, 6

.G., SCOTT, T.A.: Effect of storage and layer age on quality of eggs from two lines of hens. Poultry Science, 80:1240-1245,2001. TERČIĆ, D., ŽLENDER, B., HOLCMAN, A.: External, internal and sensory qualities of table eggs as influenced by two different production systems. Agroznanje, 13, 4:555-562, 2012. VAN DEN BRAND, H., PARMENTIER, H. K., KEMP, B.: Effects of housing system (outdoor vs cages) and age of laying hens on egg characteristics. British Poultry Science, 45:745–752, 2004. WEBERKE, V.: Consumer acceptance of functional foods: sociodemographic, cognitive and

quality – a future approach. Meat Sci., 70: 543–554. Arienti G. (2003). Le basi molecolari della nutrizione. 2nd ed. Piccin Nuova Libraria S.p.A., Padova, Italy. Barbut S. (1998). Estimating the magnitude of the PSE problem in poultry. J. Muscle Foods, 9: 35–49. Bessa R.J.B., Alves S.P., Figueiredo R., Teixeira A.J.R., Rodrigues A.I.P., Janeiro A., Costa M., Santos-Silva J., Prates J.A.M. (2006). Discrimination of production system and origin of animal products using chemical markers. In: Animal Products from the Mediterranean Area. EAAP Publication No. 119, Ramalho

References Araujo W.A.G., Albino L.F.T., Sakomura N.K., Paulino P.VJL, Campos AJvL (2011). Meat quality in “indoor” and “outdoor” production systems of poultry and swine. Open J. Anim. Sci., 1: 75-88. Berri C. (2007). Quality differences between standard and alternative productions. XVM European Symposium on the Quality of Poultry Meat and XII European Symposium on the Quality of Egg Products, Prague. M2 - Extensive and organic production, pp. 123-127. Berri C., Le Bihan-Duval E.Baeza E., Chartrin P., Picgirard L., Jehl N., Qentin M, Picard M, Duclos M J. (2005

, Research regarding the behavior of some blueberry plant varieties in the conditions from the Bucharest area. Scientific Papers. Series B. Horticulture, Vol. LVI, ISSN-L 2285-5653, 93-96. Strik B., 2014. Organic blueberry production systems - advances in research and industry. Acta Hortic. 1017, 257-267 Sumedrea D., Isac I., Iancu M., Olteanu A., Coman M., Dutu I., 2014. Pomi arbusti fructiferi si capsun, Ghid tehnic si economic. Pitesti, Ed. Invel Multimedia, ISBN 978-973-1886-82-4, 245-254. Statistical Yearbook of Romania (2017) www.insse.ro http://www.innoberry.usamv.ro.

) 6. Fachkongress Digitale Fabrik@Produktion . Fulda . 5. HINCAPIÉ, M. et al. 2014. Mixing real and virtual components in automated manufacturing systems using PLM tools. Int.r. J. on Int.Des. and Man.(IJIDeM), 8 (3), pp. 209-230. 6. REINHART, G., WÜNSCH, G. 2007. Economic application of virtual commissioning to mechatronic production systems. Production Engineering , 1 (4), pp. 371-379. 7. DAHL. M. et al. 2017. Automatic modelling and simulation of robot program behavior in integrated virtual preparation and commissioning. Proc. Manuf ., 11, pp. 284-291. 8

., Ozcan M., Kaptan M., Hanoglu H., Erdogan I., Yalcintan H. (2009). Carcass measurements and meat quality characteristics of Turkish Merino, Ramlic, Kivircik, Chios and Imroz lambs raised under an intensive production system. Meat Sci., 82: 64–70. Ekiz B., Yilmaz A., Ozcan M., Kocak O. (2012 a). Effect of production systems on carcass measurements and meat quality of Kivircik lambs. Meat Sci., 90: 465–471. Ekiz B., Ergül Ekiz E., Yalcintan H., Kocak O., Yilmaz A. (2012 b). Effects of suckling length (45, 75 and 120 d) and rearing type on cortisol level, carcass and meat

Abstract

Reliability of production systems in enterprises is increasingly dependent on the availability of ICT systems that supervise them. The research presented in this paper focuses on the improvement of the availability of ICT systems by identifying possibilities of further automation of their maintenance processes. After preliminary research, it has been concluded that the possibility of further automation by using artificial intelligence methods to support decision making regarding the improvement of ICT systems is worth considering. The main aim of the paper was to carry out research into the possibilities of using and implementing artificial intelligence to support decision making regarding the improvement of ICT systems.