TY  - JOUR
AU  - Tadić, Danijela
AU  - Misita, Mirjana
AU  - Milanović, Dragan
AU  - Djukić, Tijana
AU  - Senussi, Galal H.
PY  - 2014
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1896
AB  - Continuous business process improvement is a well-known strategy referred to as the Japanese approach to industrial production. Nowadays, it presents one of the basic requirements set by the ISO 9004:2000 standard. A new fuzzy model based on the Ishikawa diagram is proposed, whereby the rank of business losses of the main process at the manufacturing company level is determined, respecting the values of identified causes that lead to the formation of business losses, as well as their relative importance. In this article, it is assumed that the relative importance and values of causes are determined by descriptive linguistic expressions. The linguistic expressions are obtained by the fuzzy rating of a management team. The proposed algorithm determines the business losses with the highest possibility of occurrence and calculates the degrees of beliefs that some business losses are more likely to happen than the others. Real-life industrial data on small and medium companies operating in central Serbia and numerical examples are given to illustrate the method.
PB  - Sage Publications Ltd, London
T2  - Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture
T1  - A novel approach to process improvement in small and medium manufacturing enterprises
EP  - 789
IS  - 5
SP  - 777
VL  - 228
DO  - 10.1177/0954405413508768
ER  - 

@article{
author = "Tadić, Danijela and Misita, Mirjana and Milanović, Dragan and Djukić, Tijana and Senussi, Galal H.",
year = "2014",
abstract = "Continuous business process improvement is a well-known strategy referred to as the Japanese approach to industrial production. Nowadays, it presents one of the basic requirements set by the ISO 9004:2000 standard. A new fuzzy model based on the Ishikawa diagram is proposed, whereby the rank of business losses of the main process at the manufacturing company level is determined, respecting the values of identified causes that lead to the formation of business losses, as well as their relative importance. In this article, it is assumed that the relative importance and values of causes are determined by descriptive linguistic expressions. The linguistic expressions are obtained by the fuzzy rating of a management team. The proposed algorithm determines the business losses with the highest possibility of occurrence and calculates the degrees of beliefs that some business losses are more likely to happen than the others. Real-life industrial data on small and medium companies operating in central Serbia and numerical examples are given to illustrate the method.",
publisher = "Sage Publications Ltd, London",
journal = "Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture",
title = "A novel approach to process improvement in small and medium manufacturing enterprises",
pages = "789-777",
number = "5",
volume = "228",
doi = "10.1177/0954405413508768"
}

Tadić, D., Misita, M., Milanović, D., Djukić, T.,& Senussi, G. H.. (2014). A novel approach to process improvement in small and medium manufacturing enterprises. in Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture
Sage Publications Ltd, London., 228(5), 777-789.
https://doi.org/10.1177/0954405413508768

Tadić D, Misita M, Milanović D, Djukić T, Senussi GH. A novel approach to process improvement in small and medium manufacturing enterprises. in Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture. 2014;228(5):777-789.
doi:10.1177/0954405413508768 .

Tadić, Danijela, Misita, Mirjana, Milanović, Dragan, Djukić, Tijana, Senussi, Galal H., "A novel approach to process improvement in small and medium manufacturing enterprises" in Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture, 228, no. 5 (2014):777-789,
https://doi.org/10.1177/0954405413508768 . .

TY  - JOUR
AU  - Senussi, Galal H.
AU  - Misita, Mirjana
AU  - Kirin, Snežana
AU  - Milanović, Dragan
AU  - Tadić, Danijela
PY  - 2012
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1605
AB  - This paper investigates the effects of the manner of calculating the product cost price on forming the impact criteria in production program optimization in metal working companies by means of genetic algorithms. An algorithm was defined for multi-objective production program optimization using genetic algorithms, with the application of nonlinear function of minimal costs and linear function for maximizing the machinery capacity level. The aim of the paper is to investigate the basic hypothesis that the manner of calculating the product cost price in metalworking companies within the framework of the goal to minimize the business operating costs has significant influence on the results obtained by applying genetic algorithms in production program optimization. The results of investigation indicate significant differences in an optimal production program gained by calculating the product cost price via traditional and activity-based costing approach to defining the nonlinear cost function, depending on the volume of production.
T2  - Metalurgia International
T1  - Analysis of optimal production program in metalworing industry
EP  - 20
IS  - 5
SP  - 14
VL  - 17
UR  - https://hdl.handle.net/21.15107/rcub_machinery_1605
ER  - 

@article{
author = "Senussi, Galal H. and Misita, Mirjana and Kirin, Snežana and Milanović, Dragan and Tadić, Danijela",
year = "2012",
abstract = "This paper investigates the effects of the manner of calculating the product cost price on forming the impact criteria in production program optimization in metal working companies by means of genetic algorithms. An algorithm was defined for multi-objective production program optimization using genetic algorithms, with the application of nonlinear function of minimal costs and linear function for maximizing the machinery capacity level. The aim of the paper is to investigate the basic hypothesis that the manner of calculating the product cost price in metalworking companies within the framework of the goal to minimize the business operating costs has significant influence on the results obtained by applying genetic algorithms in production program optimization. The results of investigation indicate significant differences in an optimal production program gained by calculating the product cost price via traditional and activity-based costing approach to defining the nonlinear cost function, depending on the volume of production.",
journal = "Metalurgia International",
title = "Analysis of optimal production program in metalworing industry",
pages = "20-14",
number = "5",
volume = "17",
url = "https://hdl.handle.net/21.15107/rcub_machinery_1605"
}

Senussi, G. H., Misita, M., Kirin, S., Milanović, D.,& Tadić, D.. (2012). Analysis of optimal production program in metalworing industry. in Metalurgia International, 17(5), 14-20.
https://hdl.handle.net/21.15107/rcub_machinery_1605

Senussi GH, Misita M, Kirin S, Milanović D, Tadić D. Analysis of optimal production program in metalworing industry. in Metalurgia International. 2012;17(5):14-20.
https://hdl.handle.net/21.15107/rcub_machinery_1605 .

Senussi, Galal H., Misita, Mirjana, Kirin, Snežana, Milanović, Dragan, Tadić, Danijela, "Analysis of optimal production program in metalworing industry" in Metalurgia International, 17, no. 5 (2012):14-20,
https://hdl.handle.net/21.15107/rcub_machinery_1605 .

TY  - CONF
AU  - Misita, Mirjana
AU  - Senussi, Galal H.
AU  - Milovanović, Marija
PY  - 2012
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1509
AB  - Jedan od veoma važnih ciljeva u svakom preduzeću je naći optimalno rešenje kod inverznih višekriterijumskih funkcija. Funkcija kojom se opisuju troškovi i funkcija kojom se opisuje profi t po jedinici proizvoda su dve inverzne funkcije sa mnogo konfliktnih informacija o proizvodnim parametrima. Pored toga, za donosioca odluke veoma važno je ukazati na rizik koje optimalno rešenje nosi sa sobom, Iz tog razloga u radu je razvijen model koji predstavlja kombinaciju primene genetskih algoritama (GA) i matrica rizika, radi poboljšanja kvaliteta odluke koja se bazira na kvantitativnim indikatorima, a ne samo na kvalitativnim. Rezultati istraživanja ukazuju da model integracije GA i RM ima veoma veliki značaj u olakšanju procesa odlučivanja o optimalnom proizvodnom programu uz istovremeno i povećanje kvaliteta donesenih odluka.
AB  - One of the important issues for any enterprises is the compromise optimal solution between inverse of multi objective functions. The prediction of the production cost and/or profit per unit of a product and deal with two obverse functions at same time can be extremely difficult, especially if there is a lot of conflict information about production parameters. But the most important is how much risk of this compromise solution. For this reason, the research introduce and developed a strong and cabable model of genatic algorithim combining with risk management matrix to increase the quality of decisions as it is based on quantitive indicators, not on qualititive evaluation. Research results show that integration of genetic algorithm and risk management matrix model has strong significant in the decision making where it power and time to make the right decision and improve the quality of the decision making as well.
PB  - Institut za istraživanja i projektovanja u privredi, Beograd
C3  - Journal of Applied Engineering Science
T1  - Primena kombinovanog modela GA (genetskih algoritama) i RM (matrica rizika) u određivanju optimalnog proizvodnog programa
T1  - A combining genetic learning algorithm and risk matrix model using in optimal production program
EP  - 152
IS  - 3
SP  - 147
VL  - 10
DO  - 10.5937/jaes10-2523
ER  - 

@conference{
author = "Misita, Mirjana and Senussi, Galal H. and Milovanović, Marija",
year = "2012",
abstract = "Jedan od veoma važnih ciljeva u svakom preduzeću je naći optimalno rešenje kod inverznih višekriterijumskih funkcija. Funkcija kojom se opisuju troškovi i funkcija kojom se opisuje profi t po jedinici proizvoda su dve inverzne funkcije sa mnogo konfliktnih informacija o proizvodnim parametrima. Pored toga, za donosioca odluke veoma važno je ukazati na rizik koje optimalno rešenje nosi sa sobom, Iz tog razloga u radu je razvijen model koji predstavlja kombinaciju primene genetskih algoritama (GA) i matrica rizika, radi poboljšanja kvaliteta odluke koja se bazira na kvantitativnim indikatorima, a ne samo na kvalitativnim. Rezultati istraživanja ukazuju da model integracije GA i RM ima veoma veliki značaj u olakšanju procesa odlučivanja o optimalnom proizvodnom programu uz istovremeno i povećanje kvaliteta donesenih odluka., One of the important issues for any enterprises is the compromise optimal solution between inverse of multi objective functions. The prediction of the production cost and/or profit per unit of a product and deal with two obverse functions at same time can be extremely difficult, especially if there is a lot of conflict information about production parameters. But the most important is how much risk of this compromise solution. For this reason, the research introduce and developed a strong and cabable model of genatic algorithim combining with risk management matrix to increase the quality of decisions as it is based on quantitive indicators, not on qualititive evaluation. Research results show that integration of genetic algorithm and risk management matrix model has strong significant in the decision making where it power and time to make the right decision and improve the quality of the decision making as well.",
publisher = "Institut za istraživanja i projektovanja u privredi, Beograd",
journal = "Journal of Applied Engineering Science",
title = "Primena kombinovanog modela GA (genetskih algoritama) i RM (matrica rizika) u određivanju optimalnog proizvodnog programa, A combining genetic learning algorithm and risk matrix model using in optimal production program",
pages = "152-147",
number = "3",
volume = "10",
doi = "10.5937/jaes10-2523"
}

Misita, M., Senussi, G. H.,& Milovanović, M.. (2012). Primena kombinovanog modela GA (genetskih algoritama) i RM (matrica rizika) u određivanju optimalnog proizvodnog programa. in Journal of Applied Engineering Science
Institut za istraživanja i projektovanja u privredi, Beograd., 10(3), 147-152.
https://doi.org/10.5937/jaes10-2523

Misita M, Senussi GH, Milovanović M. Primena kombinovanog modela GA (genetskih algoritama) i RM (matrica rizika) u određivanju optimalnog proizvodnog programa. in Journal of Applied Engineering Science. 2012;10(3):147-152.
doi:10.5937/jaes10-2523 .

Misita, Mirjana, Senussi, Galal H., Milovanović, Marija, "Primena kombinovanog modela GA (genetskih algoritama) i RM (matrica rizika) u određivanju optimalnog proizvodnog programa" in Journal of Applied Engineering Science, 10, no. 3 (2012):147-152,
https://doi.org/10.5937/jaes10-2523 . .

TY  - CONF
AU  - Senussi, Galal H.
AU  - Čolić, Katarina
AU  - Sedmak, Aleksandar
PY  - 2011
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1289
PB  - Scientific Society for Mechanical Engineering
C3  - 28th Danubia - Adria - Symposium on Advances in Experimental Mechanics, DAS 2011
T1  - Experimental analysis of fatigue fracture behaviour of Ti-6Al-4V alloys
EP  - 74
SP  - 73
UR  - https://hdl.handle.net/21.15107/rcub_machinery_1289
ER  - 

@conference{
author = "Senussi, Galal H. and Čolić, Katarina and Sedmak, Aleksandar",
year = "2011",
publisher = "Scientific Society for Mechanical Engineering",
journal = "28th Danubia - Adria - Symposium on Advances in Experimental Mechanics, DAS 2011",
title = "Experimental analysis of fatigue fracture behaviour of Ti-6Al-4V alloys",
pages = "74-73",
url = "https://hdl.handle.net/21.15107/rcub_machinery_1289"
}

Senussi, G. H., Čolić, K.,& Sedmak, A.. (2011). Experimental analysis of fatigue fracture behaviour of Ti-6Al-4V alloys. in 28th Danubia - Adria - Symposium on Advances in Experimental Mechanics, DAS 2011
Scientific Society for Mechanical Engineering., 73-74.
https://hdl.handle.net/21.15107/rcub_machinery_1289

Senussi GH, Čolić K, Sedmak A. Experimental analysis of fatigue fracture behaviour of Ti-6Al-4V alloys. in 28th Danubia - Adria - Symposium on Advances in Experimental Mechanics, DAS 2011. 2011;:73-74.
https://hdl.handle.net/21.15107/rcub_machinery_1289 .

Senussi, Galal H., Čolić, Katarina, Sedmak, Aleksandar, "Experimental analysis of fatigue fracture behaviour of Ti-6Al-4V alloys" in 28th Danubia - Adria - Symposium on Advances in Experimental Mechanics, DAS 2011 (2011):73-74,
https://hdl.handle.net/21.15107/rcub_machinery_1289 .