Brkić, A., Spasojević Brkić, V., Mihajlović, I., Misita, M., Đurić, G., Bugarić, U.,& Stević, Ž.. (2024). Контекстуални адаптивни систем за митигацију ризика рада рударских машина. in Odluka Matičnog odbora od 29.03.2024. o kategorizaciji M81- Novo tehničko rešenje primenjeno na međunarodnom nivou.
https://hdl.handle.net/21.15107/rcub_machinery_7796

Brkić A, Spasojević Brkić V, Mihajlović I, Misita M, Đurić G, Bugarić U, Stević Ž. Контекстуални адаптивни систем за митигацију ризика рада рударских машина. in Odluka Matičnog odbora od 29.03.2024. o kategorizaciji M81- Novo tehničko rešenje primenjeno na međunarodnom nivou. 2024;.
https://hdl.handle.net/21.15107/rcub_machinery_7796 .

Brkić, Aleksandar, Spasojević Brkić, Vesna, Mihajlović, Ivan, Misita, Mirjana, Đurić, Goran, Bugarić, Uglješa, Stević, Željko, "Контекстуални адаптивни систем за митигацију ризика рада рударских машина" in Odluka Matičnog odbora od 29.03.2024. o kategorizaciji M81- Novo tehničko rešenje primenjeno na međunarodnom nivou (2024),
https://hdl.handle.net/21.15107/rcub_machinery_7796 .

TY  - JOUR
AU  - Misita, Mirjana
AU  - Spasojević Brkić, Vesna
AU  - Rakonjac, Ivan
AU  - Damjanović, Milanko
AU  - Perišić, Martina
AU  - Papić, Neda
AU  - Đurić, Goran
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4189
AB  - U radu je prikazan model analize rizika rada dampera sa ciljem da se utvrdi najčešći razlog
neplaniranih zastoja kao i da se nakon klasifikacije zastoja po sistemima izvrši njihova ocena sa aspekta
rizika. Postavljeni kriterijumi za analizu rizika su: vreme provedeno u zastoju, frekvencija zastoja i nivo
opasnosti. Rezultati istraživanja ukazali su na uzročnike visokog rizika na posmatranim mašinama, na
osnovu kojih se mogu definisati prioritetne mere preventivnog održavanja u cilju smanjenja rizika.
Nadalje, u istraživanju prevencije rizika rada transportnih i rudarskih mašina razvijen je onlajn
kontekstualni i adaptivni ekspertni sistem HAMRISK i izvršeno ispitivanje prednosti i nedostataka
razvijenog softverskog rešenja u praksi.
PB  - Beograd : Savez inženjera i tehničara Srbije
T2  - Tehnika
T1  - Model analize rada dampera i ekspertni sistem HAMRISK
EP  - 624
IS  - 5
IS  - 5
SP  - 617
VL  - 77
DO  - 10.5937/tehnika2205617M
ER  - 

@article{
author = "Misita, Mirjana and Spasojević Brkić, Vesna and Rakonjac, Ivan and Damjanović, Milanko and Perišić, Martina and Papić, Neda and Đurić, Goran",
year = "2022",
abstract = "U radu je prikazan model analize rizika rada dampera sa ciljem da se utvrdi najčešći razlog
neplaniranih zastoja kao i da se nakon klasifikacije zastoja po sistemima izvrši njihova ocena sa aspekta
rizika. Postavljeni kriterijumi za analizu rizika su: vreme provedeno u zastoju, frekvencija zastoja i nivo
opasnosti. Rezultati istraživanja ukazali su na uzročnike visokog rizika na posmatranim mašinama, na
osnovu kojih se mogu definisati prioritetne mere preventivnog održavanja u cilju smanjenja rizika.
Nadalje, u istraživanju prevencije rizika rada transportnih i rudarskih mašina razvijen je onlajn
kontekstualni i adaptivni ekspertni sistem HAMRISK i izvršeno ispitivanje prednosti i nedostataka
razvijenog softverskog rešenja u praksi.",
publisher = "Beograd : Savez inženjera i tehničara Srbije",
journal = "Tehnika",
title = "Model analize rada dampera i ekspertni sistem HAMRISK",
pages = "624-617",
number = "5, 5",
volume = "77",
doi = "10.5937/tehnika2205617M"
}

Misita, M., Spasojević Brkić, V., Rakonjac, I., Damjanović, M., Perišić, M., Papić, N.,& Đurić, G.. (2022). Model analize rada dampera i ekspertni sistem HAMRISK. in Tehnika
Beograd : Savez inženjera i tehničara Srbije., 77(5), 617-624.
https://doi.org/10.5937/tehnika2205617M

Misita M, Spasojević Brkić V, Rakonjac I, Damjanović M, Perišić M, Papić N, Đurić G. Model analize rada dampera i ekspertni sistem HAMRISK. in Tehnika. 2022;77(5):617-624.
doi:10.5937/tehnika2205617M .

Misita, Mirjana, Spasojević Brkić, Vesna, Rakonjac, Ivan, Damjanović, Milanko, Perišić, Martina, Papić, Neda, Đurić, Goran, "Model analize rada dampera i ekspertni sistem HAMRISK" in Tehnika, 77, no. 5 (2022):617-624,
https://doi.org/10.5937/tehnika2205617M . .

TY  - CONF
AU  - Misita, Mirjana
AU  - Spasojević Brkić, Vesna
AU  - Damjanović, Milanko
AU  - Đurić, Goran
AU  - Papić, Neda
AU  - Perišić, Martina
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4182
AB  - Previous research points to the need for the development of a decision-making system in the field of adaptive and contextual risk management of operation and maintenance of transport and mining machines, which ensures the optimal choice of maintenance strategy and consequently greater safety and health at work, reduction of direct and indirect costs of incidents, better planning and greater productivity. Accordingly, this research work refers to the analysis of data obtained by surveying respondents - users of the HAMRISK expert system for risk prevention in transport and mining machines (cranes, excavators, bulldozers, excavators, loaders, etc.).In order to analyze data, a hierarchical structure of criteria with defined importance coefficients was generated. The model of the hierarchical structure of survey questions, taken into account with the estimated coefficients of importance, ensured a unique decision-making model. The structural hierarchical model of decision-making gives a more detailed insight into the analysis of the survey questionnaires for the assessment of the HAMRSIK expert system for risk prevention in transport and mining machines, and presented directions for further development and improvement of the first variant of the software solution. The obtained results were also used in order to design marketing activities for the promotion of the HAMRISK expert system.
PB  - University of Belgrade Faculty of Mechanical Engineering
C3  - 8th International Conference on Industrial Engineering (SIE 2022)
T1  - Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria
SP  - 222
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4182
ER  - 

@conference{
author = "Misita, Mirjana and Spasojević Brkić, Vesna and Damjanović, Milanko and Đurić, Goran and Papić, Neda and Perišić, Martina",
year = "2022",
abstract = "Previous research points to the need for the development of a decision-making system in the field of adaptive and contextual risk management of operation and maintenance of transport and mining machines, which ensures the optimal choice of maintenance strategy and consequently greater safety and health at work, reduction of direct and indirect costs of incidents, better planning and greater productivity. Accordingly, this research work refers to the analysis of data obtained by surveying respondents - users of the HAMRISK expert system for risk prevention in transport and mining machines (cranes, excavators, bulldozers, excavators, loaders, etc.).In order to analyze data, a hierarchical structure of criteria with defined importance coefficients was generated. The model of the hierarchical structure of survey questions, taken into account with the estimated coefficients of importance, ensured a unique decision-making model. The structural hierarchical model of decision-making gives a more detailed insight into the analysis of the survey questionnaires for the assessment of the HAMRSIK expert system for risk prevention in transport and mining machines, and presented directions for further development and improvement of the first variant of the software solution. The obtained results were also used in order to design marketing activities for the promotion of the HAMRISK expert system.",
publisher = "University of Belgrade Faculty of Mechanical Engineering",
journal = "8th International Conference on Industrial Engineering (SIE 2022)",
title = "Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria",
pages = "222",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4182"
}

Misita, M., Spasojević Brkić, V., Damjanović, M., Đurić, G., Papić, N.,& Perišić, M.. (2022). Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria. in 8th International Conference on Industrial Engineering (SIE 2022)
University of Belgrade Faculty of Mechanical Engineering., 222.
https://hdl.handle.net/21.15107/rcub_machinery_4182

Misita M, Spasojević Brkić V, Damjanović M, Đurić G, Papić N, Perišić M. Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria. in 8th International Conference on Industrial Engineering (SIE 2022). 2022;:222.
https://hdl.handle.net/21.15107/rcub_machinery_4182 .

Misita, Mirjana, Spasojević Brkić, Vesna, Damjanović, Milanko, Đurić, Goran, Papić, Neda, Perišić, Martina, "Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria" in 8th International Conference on Industrial Engineering (SIE 2022) (2022):222,
https://hdl.handle.net/21.15107/rcub_machinery_4182 .

TY  - JOUR
AU  - Nestić, Snežana
AU  - Aleksić, Aleksandar
AU  - Lafuente, Jaime Gil
AU  - Cvetić, Tijana
AU  - Đurić, Goran
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3723
AB  - As the only constant in business is change, business transformation is essential for adopting new perspectives and business trends. One of the keys to performing successful business transformation is to be fully aware of the current components of the business model. This research aims to allocate the business model components (BMCs) to defined business model components groups (BMCGs) by developing a new approach that integrates fuzzy sets and heuristic algorithms. The allocation results enable a comprehensive analysis of business model frameworks and give a good connection to research in the domain of strategic management and business process modeling. For allocation, the decision-makers (DMs) are employing the linguistic terms modeled by the fuzzy sets theory. The considered problem is stated as an integer programming model where the optimal solution is given by a B&B algorithm. The model is tested on a sample of forty experts from four different economic sectors.
PB  - Hindawi Ltd, London
T2  - Mathematical Problems in Engineering
T1  - The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method
VL  - 2022
DO  - 10.1155/2022/2958519
ER  - 

@article{
author = "Nestić, Snežana and Aleksić, Aleksandar and Lafuente, Jaime Gil and Cvetić, Tijana and Đurić, Goran",
year = "2022",
abstract = "As the only constant in business is change, business transformation is essential for adopting new perspectives and business trends. One of the keys to performing successful business transformation is to be fully aware of the current components of the business model. This research aims to allocate the business model components (BMCs) to defined business model components groups (BMCGs) by developing a new approach that integrates fuzzy sets and heuristic algorithms. The allocation results enable a comprehensive analysis of business model frameworks and give a good connection to research in the domain of strategic management and business process modeling. For allocation, the decision-makers (DMs) are employing the linguistic terms modeled by the fuzzy sets theory. The considered problem is stated as an integer programming model where the optimal solution is given by a B&B algorithm. The model is tested on a sample of forty experts from four different economic sectors.",
publisher = "Hindawi Ltd, London",
journal = "Mathematical Problems in Engineering",
title = "The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method",
volume = "2022",
doi = "10.1155/2022/2958519"
}

Nestić, S., Aleksić, A., Lafuente, J. G., Cvetić, T.,& Đurić, G.. (2022). The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method. in Mathematical Problems in Engineering
Hindawi Ltd, London., 2022.
https://doi.org/10.1155/2022/2958519

Nestić S, Aleksić A, Lafuente JG, Cvetić T, Đurić G. The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method. in Mathematical Problems in Engineering. 2022;2022.
doi:10.1155/2022/2958519 .

Nestić, Snežana, Aleksić, Aleksandar, Lafuente, Jaime Gil, Cvetić, Tijana, Đurić, Goran, "The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method" in Mathematical Problems in Engineering, 2022 (2022),
https://doi.org/10.1155/2022/2958519 . .

TY  - JOUR
AU  - Gojković, Ranka
AU  - Đurić, Goran
AU  - Tadić, Danijela
AU  - Nestić, Snežana
AU  - Aleksić, Aleksandar
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3482
AB  - The aim of this research is to propose a hybrid decision-making model for evaluation and selection of quality methods whose application leads to improved reliability of manufacturing in the process industry. Evaluation of failures and determination of their priorities are based on failure mode and effect analysis (FMEA), which is a widely used framework in practice combining with triangular intuitionistic fuzzy numbers (TIFNs). The all-existing uncertainties in the relative importance of the risk factors (RFs), their values, applicability of the quality methods, as well as implementation costs are described by pre-defined linguistic terms which are modeled by the TIFNs. The selection of quality methods is stated as the rubber knapsack problem which is decomposed into subproblems with a certain number of solution elements. The solution of this problem is found by using genetic algorithm (GA). The model is verified through the case study with the real-life data originating from a significant number of organizations from one region. It is shown that the proposed model is highly suitable as a decision-making tool for improving the manufacturing process reliability in small and medium enterprises (SMEs) of process industry.
PB  - MDPI, Basel
T2  - Mathematics
T1  - Evaluation and Selection of the Quality Methods for Manufacturing Process Reliability Improvement-Intuitionistic Fuzzy Sets and Genetic Algorithm Approach
IS  - 13
VL  - 9
DO  - 10.3390/math9131531
ER  - 

@article{
author = "Gojković, Ranka and Đurić, Goran and Tadić, Danijela and Nestić, Snežana and Aleksić, Aleksandar",
year = "2021",
abstract = "The aim of this research is to propose a hybrid decision-making model for evaluation and selection of quality methods whose application leads to improved reliability of manufacturing in the process industry. Evaluation of failures and determination of their priorities are based on failure mode and effect analysis (FMEA), which is a widely used framework in practice combining with triangular intuitionistic fuzzy numbers (TIFNs). The all-existing uncertainties in the relative importance of the risk factors (RFs), their values, applicability of the quality methods, as well as implementation costs are described by pre-defined linguistic terms which are modeled by the TIFNs. The selection of quality methods is stated as the rubber knapsack problem which is decomposed into subproblems with a certain number of solution elements. The solution of this problem is found by using genetic algorithm (GA). The model is verified through the case study with the real-life data originating from a significant number of organizations from one region. It is shown that the proposed model is highly suitable as a decision-making tool for improving the manufacturing process reliability in small and medium enterprises (SMEs) of process industry.",
publisher = "MDPI, Basel",
journal = "Mathematics",
title = "Evaluation and Selection of the Quality Methods for Manufacturing Process Reliability Improvement-Intuitionistic Fuzzy Sets and Genetic Algorithm Approach",
number = "13",
volume = "9",
doi = "10.3390/math9131531"
}

Gojković, R., Đurić, G., Tadić, D., Nestić, S.,& Aleksić, A.. (2021). Evaluation and Selection of the Quality Methods for Manufacturing Process Reliability Improvement-Intuitionistic Fuzzy Sets and Genetic Algorithm Approach. in Mathematics
MDPI, Basel., 9(13).
https://doi.org/10.3390/math9131531

Gojković R, Đurić G, Tadić D, Nestić S, Aleksić A. Evaluation and Selection of the Quality Methods for Manufacturing Process Reliability Improvement-Intuitionistic Fuzzy Sets and Genetic Algorithm Approach. in Mathematics. 2021;9(13).
doi:10.3390/math9131531 .

Gojković, Ranka, Đurić, Goran, Tadić, Danijela, Nestić, Snežana, Aleksić, Aleksandar, "Evaluation and Selection of the Quality Methods for Manufacturing Process Reliability Improvement-Intuitionistic Fuzzy Sets and Genetic Algorithm Approach" in Mathematics, 9, no. 13 (2021),
https://doi.org/10.3390/math9131531 . .

TY  - JOUR
AU  - Đurić, Goran
AU  - Mitrović, Časlav
AU  - Komatina, Nikola
AU  - Tadić, Danijela
AU  - Vorotović, Goran
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3070
AB  - Evaluation and analysis of failures which occur in the products or services in different economic areas are an important task of operational management. Solution of this problem leads to the increase of product's/service's quality, but in the same time it also increases business processes effectiveness and business goal's realization. The treated problem is especially important in the information technologies domain. In this paper, the risk factors that may cause failures of the software are defined in compliance with the Failure Mode and Effect Analysis (FMEA) framework and they are assessed during the development and the maintenance phase. The relative importance of these risk factors and their values at the level of each identified failure are described by pre-defined linguistic terms which are modelled by the interval type-2 trapezoidal fuzzy numbers (IT2TrFNs). The weights vector is calculated by using the Fuzzy Analytic Hierarchy Process (FAHP) with interval type-2 fuzzy sets. The rank of failures is obtained by using the complex proportional assessment (COPRAS) method. The example with real life data is illustrated to demonstrate the potential and applicability of the adopted methods.
PB  - IOS Press, Amsterdam
T2  - Journal of Intelligent & Fuzzy Systems
T1  - The hybrid MCDM model with the interval Type-2 fuzzy sets for the software failure analysis
EP  - 7759
IS  - 6
SP  - 7747
VL  - 37
DO  - 10.3233/JIFS-182541
ER  - 

@article{
author = "Đurić, Goran and Mitrović, Časlav and Komatina, Nikola and Tadić, Danijela and Vorotović, Goran",
year = "2019",
abstract = "Evaluation and analysis of failures which occur in the products or services in different economic areas are an important task of operational management. Solution of this problem leads to the increase of product's/service's quality, but in the same time it also increases business processes effectiveness and business goal's realization. The treated problem is especially important in the information technologies domain. In this paper, the risk factors that may cause failures of the software are defined in compliance with the Failure Mode and Effect Analysis (FMEA) framework and they are assessed during the development and the maintenance phase. The relative importance of these risk factors and their values at the level of each identified failure are described by pre-defined linguistic terms which are modelled by the interval type-2 trapezoidal fuzzy numbers (IT2TrFNs). The weights vector is calculated by using the Fuzzy Analytic Hierarchy Process (FAHP) with interval type-2 fuzzy sets. The rank of failures is obtained by using the complex proportional assessment (COPRAS) method. The example with real life data is illustrated to demonstrate the potential and applicability of the adopted methods.",
publisher = "IOS Press, Amsterdam",
journal = "Journal of Intelligent & Fuzzy Systems",
title = "The hybrid MCDM model with the interval Type-2 fuzzy sets for the software failure analysis",
pages = "7759-7747",
number = "6",
volume = "37",
doi = "10.3233/JIFS-182541"
}

Đurić, G., Mitrović, Č., Komatina, N., Tadić, D.,& Vorotović, G.. (2019). The hybrid MCDM model with the interval Type-2 fuzzy sets for the software failure analysis. in Journal of Intelligent & Fuzzy Systems
IOS Press, Amsterdam., 37(6), 7747-7759.
https://doi.org/10.3233/JIFS-182541

Đurić G, Mitrović Č, Komatina N, Tadić D, Vorotović G. The hybrid MCDM model with the interval Type-2 fuzzy sets for the software failure analysis. in Journal of Intelligent & Fuzzy Systems. 2019;37(6):7747-7759.
doi:10.3233/JIFS-182541 .

Đurić, Goran, Mitrović, Časlav, Komatina, Nikola, Tadić, Danijela, Vorotović, Goran, "The hybrid MCDM model with the interval Type-2 fuzzy sets for the software failure analysis" in Journal of Intelligent & Fuzzy Systems, 37, no. 6 (2019):7747-7759,
https://doi.org/10.3233/JIFS-182541 . .

TY  - CONF
AU  - Đurić, Goran
AU  - Misita, Mirjana
AU  - Borota-Tišma, Ankica
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4116
AB  - The paper shows research of analysis concrete example of information system and discovering its data-flow failures. In this example student service information system at Faculty was observed. Besides failure detection in data flow, paper indicates on key criteria for failure monitoring, such as: failures type and link to process time spent in failure, frequency of failures, severity of failure etc.
PB  - Faculty of Mechanical Engineering, Belgrade
C3  - 7th International Symposium of Industrial Engineering - SIE 2018 : Proceedings, 27th-28th September, 2018, Belgrade
T1  - Information system data-flow analysis
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4116
ER  - 

@conference{
author = "Đurić, Goran and Misita, Mirjana and Borota-Tišma, Ankica",
year = "2018",
abstract = "The paper shows research of analysis concrete example of information system and discovering its data-flow failures. In this example student service information system at Faculty was observed. Besides failure detection in data flow, paper indicates on key criteria for failure monitoring, such as: failures type and link to process time spent in failure, frequency of failures, severity of failure etc.",
publisher = "Faculty of Mechanical Engineering, Belgrade",
journal = "7th International Symposium of Industrial Engineering - SIE 2018 : Proceedings, 27th-28th September, 2018, Belgrade",
title = "Information system data-flow analysis",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4116"
}

Đurić, G., Misita, M.,& Borota-Tišma, A.. (2018). Information system data-flow analysis. in 7th International Symposium of Industrial Engineering - SIE 2018 : Proceedings, 27th-28th September, 2018, Belgrade
Faculty of Mechanical Engineering, Belgrade..
https://hdl.handle.net/21.15107/rcub_machinery_4116

Đurić G, Misita M, Borota-Tišma A. Information system data-flow analysis. in 7th International Symposium of Industrial Engineering - SIE 2018 : Proceedings, 27th-28th September, 2018, Belgrade. 2018;.
https://hdl.handle.net/21.15107/rcub_machinery_4116 .

Đurić, Goran, Misita, Mirjana, Borota-Tišma, Ankica, "Information system data-flow analysis" in 7th International Symposium of Industrial Engineering - SIE 2018 : Proceedings, 27th-28th September, 2018, Belgrade (2018),
https://hdl.handle.net/21.15107/rcub_machinery_4116 .

TY  - CONF
AU  - Đurić, Goran
AU  - Misita, Mirjana
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4113
AB  - U ovom radu se prikazuje deo projekta informacionog sistema studentske
službe fakulteta i primena štedljivog modela korišćenja resursa. Racionalizacijom poslovnih procesa informacionog sistema ostvaren je napredak u štedljivom korišćenju resursa. Smanjenje rasipanja resursa kao što su: vreme, ljudi, energija i novac, a bez smanjivanja funkcionalnosti informacionog sistema ostvaruje se postupnim i konstantnim razvojem sistema uz povećanje produktivnosti korisnika. Primer ovakvog pristupa koji je prikazan u ovom radu je unapređenje procesa "Upis godine" koji je deo složenih procesa u Studentskoj službi fakulteta.
PB  - Univerzitet u Beogradu, Fakultet organizacionih nauka
C3  - XI SKUP PRIVREDNIKA I NAUČNIKA SPIN ’17 Štedljivo (lean) upravljanje resursima u privredi republike Srbije : zbornik radova Beograd, 09-10. novembar 2017
T1  - Projektovanje informacionog sistema studentske službe
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4113
ER  - 

@conference{
author = "Đurić, Goran and Misita, Mirjana",
year = "2017",
abstract = "U ovom radu se prikazuje deo projekta informacionog sistema studentske
službe fakulteta i primena štedljivog modela korišćenja resursa. Racionalizacijom poslovnih procesa informacionog sistema ostvaren je napredak u štedljivom korišćenju resursa. Smanjenje rasipanja resursa kao što su: vreme, ljudi, energija i novac, a bez smanjivanja funkcionalnosti informacionog sistema ostvaruje se postupnim i konstantnim razvojem sistema uz povećanje produktivnosti korisnika. Primer ovakvog pristupa koji je prikazan u ovom radu je unapređenje procesa "Upis godine" koji je deo složenih procesa u Studentskoj službi fakulteta.",
publisher = "Univerzitet u Beogradu, Fakultet organizacionih nauka",
journal = "XI SKUP PRIVREDNIKA I NAUČNIKA SPIN ’17 Štedljivo (lean) upravljanje resursima u privredi republike Srbije : zbornik radova Beograd, 09-10. novembar 2017",
title = "Projektovanje informacionog sistema studentske službe",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4113"
}

Đurić, G.,& Misita, M.. (2017). Projektovanje informacionog sistema studentske službe. in XI SKUP PRIVREDNIKA I NAUČNIKA SPIN ’17 Štedljivo (lean) upravljanje resursima u privredi republike Srbije : zbornik radova Beograd, 09-10. novembar 2017
Univerzitet u Beogradu, Fakultet organizacionih nauka..
https://hdl.handle.net/21.15107/rcub_machinery_4113

Đurić G, Misita M. Projektovanje informacionog sistema studentske službe. in XI SKUP PRIVREDNIKA I NAUČNIKA SPIN ’17 Štedljivo (lean) upravljanje resursima u privredi republike Srbije : zbornik radova Beograd, 09-10. novembar 2017. 2017;.
https://hdl.handle.net/21.15107/rcub_machinery_4113 .

Đurić, Goran, Misita, Mirjana, "Projektovanje informacionog sistema studentske službe" in XI SKUP PRIVREDNIKA I NAUČNIKA SPIN ’17 Štedljivo (lean) upravljanje resursima u privredi republike Srbije : zbornik radova Beograd, 09-10. novembar 2017 (2017),
https://hdl.handle.net/21.15107/rcub_machinery_4113 .

TY  - JOUR
AU  - Đurić, Goran
AU  - Mitrović, Časlav
AU  - Vorotović, Goran
AU  - Blagojević, Ivan
AU  - Vasić, Miloš
PY  - 2016
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2399
AB  - This paper presents the technology of constructing and linearization of binary program utilized for program generation, analysis and transformation into a self-modifying code. An example model of the self-modifying software system and its experimental application in vehicle control have been presented in this paper. The module responsible for vehicle control comprising two subsystems has been created within the simulation software. The first subsystem has emerged through the classical software process developed by a human-programmer. The second subsystem has been created as a result of a separate piece of software substituting the part of a programmer in a software process part. The result of this approach is software creation in conjunction with natural and Artificial Intel- ligence in addition to experimental integration into the vehicle control system.
PB  - Institut za istraživanja i projektovanja u privredi, Beograd
T2  - Journal of Applied Engineering Science
T1  - Developing self-modifying code model
EP  - 247
IS  - 2
SP  - 239
VL  - 14
DO  - 10.5937/jaes14-10931
ER  - 

@article{
author = "Đurić, Goran and Mitrović, Časlav and Vorotović, Goran and Blagojević, Ivan and Vasić, Miloš",
year = "2016",
abstract = "This paper presents the technology of constructing and linearization of binary program utilized for program generation, analysis and transformation into a self-modifying code. An example model of the self-modifying software system and its experimental application in vehicle control have been presented in this paper. The module responsible for vehicle control comprising two subsystems has been created within the simulation software. The first subsystem has emerged through the classical software process developed by a human-programmer. The second subsystem has been created as a result of a separate piece of software substituting the part of a programmer in a software process part. The result of this approach is software creation in conjunction with natural and Artificial Intel- ligence in addition to experimental integration into the vehicle control system.",
publisher = "Institut za istraživanja i projektovanja u privredi, Beograd",
journal = "Journal of Applied Engineering Science",
title = "Developing self-modifying code model",
pages = "247-239",
number = "2",
volume = "14",
doi = "10.5937/jaes14-10931"
}

Đurić, G., Mitrović, Č., Vorotović, G., Blagojević, I.,& Vasić, M.. (2016). Developing self-modifying code model. in Journal of Applied Engineering Science
Institut za istraživanja i projektovanja u privredi, Beograd., 14(2), 239-247.
https://doi.org/10.5937/jaes14-10931

Đurić G, Mitrović Č, Vorotović G, Blagojević I, Vasić M. Developing self-modifying code model. in Journal of Applied Engineering Science. 2016;14(2):239-247.
doi:10.5937/jaes14-10931 .

Đurić, Goran, Mitrović, Časlav, Vorotović, Goran, Blagojević, Ivan, Vasić, Miloš, "Developing self-modifying code model" in Journal of Applied Engineering Science, 14, no. 2 (2016):239-247,
https://doi.org/10.5937/jaes14-10931 . .