TY  - JOUR
AU  - Veljković, Zorica
AU  - Brkić, Aleksandar
AU  - Spasojević Brkić, Vesna
AU  - Klarin, Milivoj
AU  - Essdai, Ahmed
AU  - Stanisavljev, Sanja
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3410
AB  - The collection and analysis of anthropometric characteristics for various passenger car user populations is a very important predecessor of the design process. The first aim of this survey is to collect up-to-date anthropometric data for male passenger car drivers in Serbia and to collect those data for the first time in Libya. The second aim of this survey is to compare the collected data and enable further modeling using both univariate and multivariate operators' models from both samples. Anthropometric measurements on standing height, sitting height, lower leg length, upper leg length, shoulder width, hip breadth, arm length, and foot length were collected for 921 Serbian and 300 Libyan male drivers. Results show that, for Serbian male drivers, a correlation between variables exists in 67.85% cases, while for Libyan male drivers, a correlation between variables exists in 39.28% cases. The comparison of mean values between variables for Serbian and Libyan male drivers showed that, beside shoulder width, all others have significantly higher values for Serbians than for Libyikans. Consequently, there are different interior space dimensions of the vehicle obtained: for Serbian drivers, interior space dimensions amounted to 1500 x 561 x 1230 mm and for Libyan drivers amounted to1400 x 591 x 1155 mm which are useful to passenger car designers in eliminating existing anthropometric inconsistencies.
PB  - Hindawi Ltd, London
T2  - Mathematical Problems in Engineering
T1  - Differences between the Anthropometric Measurements of Serbian and Libyan Male Passenger Car Drivers
VL  - 2020
DO  - 10.1155/2020/9167589
ER  - 

@article{
author = "Veljković, Zorica and Brkić, Aleksandar and Spasojević Brkić, Vesna and Klarin, Milivoj and Essdai, Ahmed and Stanisavljev, Sanja",
year = "2020",
abstract = "The collection and analysis of anthropometric characteristics for various passenger car user populations is a very important predecessor of the design process. The first aim of this survey is to collect up-to-date anthropometric data for male passenger car drivers in Serbia and to collect those data for the first time in Libya. The second aim of this survey is to compare the collected data and enable further modeling using both univariate and multivariate operators' models from both samples. Anthropometric measurements on standing height, sitting height, lower leg length, upper leg length, shoulder width, hip breadth, arm length, and foot length were collected for 921 Serbian and 300 Libyan male drivers. Results show that, for Serbian male drivers, a correlation between variables exists in 67.85% cases, while for Libyan male drivers, a correlation between variables exists in 39.28% cases. The comparison of mean values between variables for Serbian and Libyan male drivers showed that, beside shoulder width, all others have significantly higher values for Serbians than for Libyikans. Consequently, there are different interior space dimensions of the vehicle obtained: for Serbian drivers, interior space dimensions amounted to 1500 x 561 x 1230 mm and for Libyan drivers amounted to1400 x 591 x 1155 mm which are useful to passenger car designers in eliminating existing anthropometric inconsistencies.",
publisher = "Hindawi Ltd, London",
journal = "Mathematical Problems in Engineering",
title = "Differences between the Anthropometric Measurements of Serbian and Libyan Male Passenger Car Drivers",
volume = "2020",
doi = "10.1155/2020/9167589"
}

Veljković, Z., Brkić, A., Spasojević Brkić, V., Klarin, M., Essdai, A.,& Stanisavljev, S.. (2020). Differences between the Anthropometric Measurements of Serbian and Libyan Male Passenger Car Drivers. in Mathematical Problems in Engineering
Hindawi Ltd, London., 2020.
https://doi.org/10.1155/2020/9167589

Veljković Z, Brkić A, Spasojević Brkić V, Klarin M, Essdai A, Stanisavljev S. Differences between the Anthropometric Measurements of Serbian and Libyan Male Passenger Car Drivers. in Mathematical Problems in Engineering. 2020;2020.
doi:10.1155/2020/9167589 .

Veljković, Zorica, Brkić, Aleksandar, Spasojević Brkić, Vesna, Klarin, Milivoj, Essdai, Ahmed, Stanisavljev, Sanja, "Differences between the Anthropometric Measurements of Serbian and Libyan Male Passenger Car Drivers" in Mathematical Problems in Engineering, 2020 (2020),
https://doi.org/10.1155/2020/9167589 . .

TY  - JOUR
AU  - Stanisavljev, Sanja
AU  - Klarin, Milivoj
AU  - Spasojević Brkić, Vesna
AU  - Radojičić, Miroslav
AU  - Vesić-Vasović, Jasmine
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3027
AB  - In the metalwork production a large part of gross domestic product is being achieved by automating the production in large factories, the finalists, but even a larger part comes from subcontractors and companies that have small-scale and mass production of maintenance elements and other services. Therefore, the production with higher degree of stochastics and organization mostly occurs during the production, and it happens, but to a lesser extent, that everything is planned and set in advance, and according to those facts this survey is going to analyze one of the most important production indicators - the production cycle. In this paper we are experimentally demonstrating the original stochastic method of determining 10 different production cycle working hours, and production cycle itself is determined out of factory driving records. The research also enables determining the flow coefficient which represents the function between the size of the series and technological or real time of the production cycle. Within the framework of a broader research we are contributing results of four years long record, from 2011 to 2014 for a large company with high level of organization. The production cycle per years (2011-2014) amounts to 326, 233, 248 and 236 minutes, while the flow coefficient is Kp=(277/x+0.24) the one that enables and experimentally determines optimal series which is in total 9 items for the company in question.
PB  - Univ Osijek, Tech Fac, Slavonski Brod
T2  - Tehnički vjesnik
T1  - Identification of Annual Work Hour Elements in Production Cycle and Experimental Assessment of Flow Coefficient and Optimal Series
EP  - 1528
IS  - 5
SP  - 1523
VL  - 26
DO  - 10.17559/TV-20180214112428
ER  - 

@article{
author = "Stanisavljev, Sanja and Klarin, Milivoj and Spasojević Brkić, Vesna and Radojičić, Miroslav and Vesić-Vasović, Jasmine",
year = "2019",
abstract = "In the metalwork production a large part of gross domestic product is being achieved by automating the production in large factories, the finalists, but even a larger part comes from subcontractors and companies that have small-scale and mass production of maintenance elements and other services. Therefore, the production with higher degree of stochastics and organization mostly occurs during the production, and it happens, but to a lesser extent, that everything is planned and set in advance, and according to those facts this survey is going to analyze one of the most important production indicators - the production cycle. In this paper we are experimentally demonstrating the original stochastic method of determining 10 different production cycle working hours, and production cycle itself is determined out of factory driving records. The research also enables determining the flow coefficient which represents the function between the size of the series and technological or real time of the production cycle. Within the framework of a broader research we are contributing results of four years long record, from 2011 to 2014 for a large company with high level of organization. The production cycle per years (2011-2014) amounts to 326, 233, 248 and 236 minutes, while the flow coefficient is Kp=(277/x+0.24) the one that enables and experimentally determines optimal series which is in total 9 items for the company in question.",
publisher = "Univ Osijek, Tech Fac, Slavonski Brod",
journal = "Tehnički vjesnik",
title = "Identification of Annual Work Hour Elements in Production Cycle and Experimental Assessment of Flow Coefficient and Optimal Series",
pages = "1528-1523",
number = "5",
volume = "26",
doi = "10.17559/TV-20180214112428"
}

Stanisavljev, S., Klarin, M., Spasojević Brkić, V., Radojičić, M.,& Vesić-Vasović, J.. (2019). Identification of Annual Work Hour Elements in Production Cycle and Experimental Assessment of Flow Coefficient and Optimal Series. in Tehnički vjesnik
Univ Osijek, Tech Fac, Slavonski Brod., 26(5), 1523-1528.
https://doi.org/10.17559/TV-20180214112428

Stanisavljev S, Klarin M, Spasojević Brkić V, Radojičić M, Vesić-Vasović J. Identification of Annual Work Hour Elements in Production Cycle and Experimental Assessment of Flow Coefficient and Optimal Series. in Tehnički vjesnik. 2019;26(5):1523-1528.
doi:10.17559/TV-20180214112428 .

Stanisavljev, Sanja, Klarin, Milivoj, Spasojević Brkić, Vesna, Radojičić, Miroslav, Vesić-Vasović, Jasmine, "Identification of Annual Work Hour Elements in Production Cycle and Experimental Assessment of Flow Coefficient and Optimal Series" in Tehnički vjesnik, 26, no. 5 (2019):1523-1528,
https://doi.org/10.17559/TV-20180214112428 . .

TY  - CONF
AU  - Stanisavljev, Sanja
AU  - Spasojević Brkić, Vesna
AU  - Klarin, Milivoj
AU  - Kavalić, Mila
AU  - Tesic, Zdravko
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4095
C3  - 25th International EurOMA Conference : book of abstracts, Budapest, Hungary, 24-26 June 2018
T1  - Determining optimal manufacturing order quantity by the method of monitoring production cycle time in small and medium enterprises
EP  - 280
SP  - 280
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4095
ER  - 

@conference{
author = "Stanisavljev, Sanja and Spasojević Brkić, Vesna and Klarin, Milivoj and Kavalić, Mila and Tesic, Zdravko",
year = "2018",
journal = "25th International EurOMA Conference : book of abstracts, Budapest, Hungary, 24-26 June 2018",
title = "Determining optimal manufacturing order quantity by the method of monitoring production cycle time in small and medium enterprises",
pages = "280-280",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4095"
}

Stanisavljev, S., Spasojević Brkić, V., Klarin, M., Kavalić, M.,& Tesic, Z.. (2018). Determining optimal manufacturing order quantity by the method of monitoring production cycle time in small and medium enterprises. in 25th International EurOMA Conference : book of abstracts, Budapest, Hungary, 24-26 June 2018, 280-280.
https://hdl.handle.net/21.15107/rcub_machinery_4095

Stanisavljev S, Spasojević Brkić V, Klarin M, Kavalić M, Tesic Z. Determining optimal manufacturing order quantity by the method of monitoring production cycle time in small and medium enterprises. in 25th International EurOMA Conference : book of abstracts, Budapest, Hungary, 24-26 June 2018. 2018;:280-280.
https://hdl.handle.net/21.15107/rcub_machinery_4095 .

Stanisavljev, Sanja, Spasojević Brkić, Vesna, Klarin, Milivoj, Kavalić, Mila, Tesic, Zdravko, "Determining optimal manufacturing order quantity by the method of monitoring production cycle time in small and medium enterprises" in 25th International EurOMA Conference : book of abstracts, Budapest, Hungary, 24-26 June 2018 (2018):280-280,
https://hdl.handle.net/21.15107/rcub_machinery_4095 .

TY  - JOUR
AU  - Klarin, Milivoj
AU  - Spasojević Brkić, Vesna
AU  - Golubović, Tamara
AU  - Stanisavljev, Sanja
AU  - Brkić, Aleksandar
AU  - Sajfert, Zvonko
PY  - 2016
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2483
AB  - Serbia is a developing country, which among other things implies underdeveloped industrial base. A fact is that more than two thirds of all Serbian industry includes low-tech and medium-low-tech companies. These companies should implement tools and methods that are simple and low cost, but effective and helpful in a way that will increase their productivity and product quality. This paper suggests such a method for obtaining production cycle time components, and verifies it through a case study conducted during three years in one Serbian company. Practical result of this research is that application of the proposed method leads to reducing production cycle time, increasing production time, increasing production and increasing overall satisfaction and engagement of the executor.
PB  - Univ Osijek, Tech Fac, Slavonski Brod
T2  - Tehnički vjesnik
T1  - Production cycle time reduction in low and medium-low-tech companies: a case study for Serbia
EP  - 1108
IS  - 4
SP  - 1103
VL  - 23
DO  - 10.17559/TV-20140715130015
ER  - 

@article{
author = "Klarin, Milivoj and Spasojević Brkić, Vesna and Golubović, Tamara and Stanisavljev, Sanja and Brkić, Aleksandar and Sajfert, Zvonko",
year = "2016",
abstract = "Serbia is a developing country, which among other things implies underdeveloped industrial base. A fact is that more than two thirds of all Serbian industry includes low-tech and medium-low-tech companies. These companies should implement tools and methods that are simple and low cost, but effective and helpful in a way that will increase their productivity and product quality. This paper suggests such a method for obtaining production cycle time components, and verifies it through a case study conducted during three years in one Serbian company. Practical result of this research is that application of the proposed method leads to reducing production cycle time, increasing production time, increasing production and increasing overall satisfaction and engagement of the executor.",
publisher = "Univ Osijek, Tech Fac, Slavonski Brod",
journal = "Tehnički vjesnik",
title = "Production cycle time reduction in low and medium-low-tech companies: a case study for Serbia",
pages = "1108-1103",
number = "4",
volume = "23",
doi = "10.17559/TV-20140715130015"
}

Klarin, M., Spasojević Brkić, V., Golubović, T., Stanisavljev, S., Brkić, A.,& Sajfert, Z.. (2016). Production cycle time reduction in low and medium-low-tech companies: a case study for Serbia. in Tehnički vjesnik
Univ Osijek, Tech Fac, Slavonski Brod., 23(4), 1103-1108.
https://doi.org/10.17559/TV-20140715130015

Klarin M, Spasojević Brkić V, Golubović T, Stanisavljev S, Brkić A, Sajfert Z. Production cycle time reduction in low and medium-low-tech companies: a case study for Serbia. in Tehnički vjesnik. 2016;23(4):1103-1108.
doi:10.17559/TV-20140715130015 .

Klarin, Milivoj, Spasojević Brkić, Vesna, Golubović, Tamara, Stanisavljev, Sanja, Brkić, Aleksandar, Sajfert, Zvonko, "Production cycle time reduction in low and medium-low-tech companies: a case study for Serbia" in Tehnički vjesnik, 23, no. 4 (2016):1103-1108,
https://doi.org/10.17559/TV-20140715130015 . .

TY  - JOUR
AU  - Spasojević Brkić, Vesna
AU  - Klarin, Milivoj
AU  - Stanisavljev, Sanja
AU  - Brkić, Aleksandar
AU  - Sajfert, Zvonko
PY  - 2016
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2404
AB  - The production cycle (PC) time, as a very important economic indicator of freezing current assets, involves the time needed to manufacture a unit or a series of units, from putting them into production until they are put into storage; and yet it is rarely discussed in the literature, even though it should be also analysed and be made as short as possible. The goal of this article is to survey and control the methodology of reducing the PC time of components in the metalworking industry, grouped by factor analysis into the factors of production and non-production components, observed by a modified method of current observations, and viewed as a process whose effectiveness was monitored using control charts. The survey is based on data collected through 1,576 observations in a Serbian company that manufactures electrical and electronic equipment for motor vehicles. The 2012 results, when compared with those of 2011, indicate that the PC time is significantly reduced by 93 minutes, or by 28.53 per cent, and the manufacturing time by 46 minutes, or by 19.17 per cent. The results furnish empirical findings that provide insights into a number of managerial issues concerning investment decisions in product-specific cycle time improvements and reductions, together with process redesigns.
PB  - Southern African Inst Industrial Engineering, Pretoria
T2  - South African Journal of Industrial Engineering
T1  - Reduction of production cycle time by optimising production and non-production components of time in the metalworking industry: a case study
EP  - 191
IS  - 1
SP  - 178
VL  - 27
DO  - 10.7166/27-1-969
ER  - 

@article{
author = "Spasojević Brkić, Vesna and Klarin, Milivoj and Stanisavljev, Sanja and Brkić, Aleksandar and Sajfert, Zvonko",
year = "2016",
abstract = "The production cycle (PC) time, as a very important economic indicator of freezing current assets, involves the time needed to manufacture a unit or a series of units, from putting them into production until they are put into storage; and yet it is rarely discussed in the literature, even though it should be also analysed and be made as short as possible. The goal of this article is to survey and control the methodology of reducing the PC time of components in the metalworking industry, grouped by factor analysis into the factors of production and non-production components, observed by a modified method of current observations, and viewed as a process whose effectiveness was monitored using control charts. The survey is based on data collected through 1,576 observations in a Serbian company that manufactures electrical and electronic equipment for motor vehicles. The 2012 results, when compared with those of 2011, indicate that the PC time is significantly reduced by 93 minutes, or by 28.53 per cent, and the manufacturing time by 46 minutes, or by 19.17 per cent. The results furnish empirical findings that provide insights into a number of managerial issues concerning investment decisions in product-specific cycle time improvements and reductions, together with process redesigns.",
publisher = "Southern African Inst Industrial Engineering, Pretoria",
journal = "South African Journal of Industrial Engineering",
title = "Reduction of production cycle time by optimising production and non-production components of time in the metalworking industry: a case study",
pages = "191-178",
number = "1",
volume = "27",
doi = "10.7166/27-1-969"
}

Spasojević Brkić, V., Klarin, M., Stanisavljev, S., Brkić, A.,& Sajfert, Z.. (2016). Reduction of production cycle time by optimising production and non-production components of time in the metalworking industry: a case study. in South African Journal of Industrial Engineering
Southern African Inst Industrial Engineering, Pretoria., 27(1), 178-191.
https://doi.org/10.7166/27-1-969

Spasojević Brkić V, Klarin M, Stanisavljev S, Brkić A, Sajfert Z. Reduction of production cycle time by optimising production and non-production components of time in the metalworking industry: a case study. in South African Journal of Industrial Engineering. 2016;27(1):178-191.
doi:10.7166/27-1-969 .

Spasojević Brkić, Vesna, Klarin, Milivoj, Stanisavljev, Sanja, Brkić, Aleksandar, Sajfert, Zvonko, "Reduction of production cycle time by optimising production and non-production components of time in the metalworking industry: a case study" in South African Journal of Industrial Engineering, 27, no. 1 (2016):178-191,
https://doi.org/10.7166/27-1-969 . .

TY  - JOUR
AU  - Stanisavljev, Sanja
AU  - Ćoćkalo, Dragan
AU  - Klarin, Milivoj
AU  - Spasojević Brkić, Vesna
AU  - Đorđević, Dejan
PY  - 2015
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2248
AB  - The paper presents an original method of determining the elements of the production cycle time by using the modified work sampling method applied to a textile factory. It is shown that the movement of the elements of time can be viewed as a process and in the mathematical sense can establish control limits of error of +/- 3 SD. The mean time of the production cycle of the groups created by the number of pieces in the series t(pcu) moving the hyperbolic function, which has the asymptote c, a function of the form (t) over bar (pcu) = c + b/log n, where all groups of the production cycle in the mathematical sense do not act like strata but are function tpci, related to technology and deterministic factors of the production series.
PB  - Inst Chemical Fibres, Lodz
T2  - Fibres & Textiles in Eastern Europe
T1  - Stohastic Model to Determine the Elements of the Production Cycle Time: Case of Serbian Textile Industry
EP  - 29
IS  - 5
SP  - 23
VL  - 23
DO  - 10.5604/12303666.1161752
ER  - 

@article{
author = "Stanisavljev, Sanja and Ćoćkalo, Dragan and Klarin, Milivoj and Spasojević Brkić, Vesna and Đorđević, Dejan",
year = "2015",
abstract = "The paper presents an original method of determining the elements of the production cycle time by using the modified work sampling method applied to a textile factory. It is shown that the movement of the elements of time can be viewed as a process and in the mathematical sense can establish control limits of error of +/- 3 SD. The mean time of the production cycle of the groups created by the number of pieces in the series t(pcu) moving the hyperbolic function, which has the asymptote c, a function of the form (t) over bar (pcu) = c + b/log n, where all groups of the production cycle in the mathematical sense do not act like strata but are function tpci, related to technology and deterministic factors of the production series.",
publisher = "Inst Chemical Fibres, Lodz",
journal = "Fibres & Textiles in Eastern Europe",
title = "Stohastic Model to Determine the Elements of the Production Cycle Time: Case of Serbian Textile Industry",
pages = "29-23",
number = "5",
volume = "23",
doi = "10.5604/12303666.1161752"
}

Stanisavljev, S., Ćoćkalo, D., Klarin, M., Spasojević Brkić, V.,& Đorđević, D.. (2015). Stohastic Model to Determine the Elements of the Production Cycle Time: Case of Serbian Textile Industry. in Fibres & Textiles in Eastern Europe
Inst Chemical Fibres, Lodz., 23(5), 23-29.
https://doi.org/10.5604/12303666.1161752

Stanisavljev S, Ćoćkalo D, Klarin M, Spasojević Brkić V, Đorđević D. Stohastic Model to Determine the Elements of the Production Cycle Time: Case of Serbian Textile Industry. in Fibres & Textiles in Eastern Europe. 2015;23(5):23-29.
doi:10.5604/12303666.1161752 .

Stanisavljev, Sanja, Ćoćkalo, Dragan, Klarin, Milivoj, Spasojević Brkić, Vesna, Đorđević, Dejan, "Stohastic Model to Determine the Elements of the Production Cycle Time: Case of Serbian Textile Industry" in Fibres & Textiles in Eastern Europe, 23, no. 5 (2015):23-29,
https://doi.org/10.5604/12303666.1161752 . .

TY  - JOUR
AU  - Stanisavljev, Sanja
AU  - Klarin, Milivoj
AU  - Spasojević Brkić, Vesna
AU  - Ćoćkalo, Dragan
AU  - Đorđević, Dejan
PY  - 2015
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2242
AB  - This paper presents a model for the stochastic determination of the elements of production cycle time is proposed and experimentally verified in this survey. The originality of the model is reflected in the idea of using a work sampling model to monitor the production cycle, as one of the most significant indicators of production effectiveness and efficiency, instead of applying classical methods. Based on experimental investigations in this paper has been proved that in the practice of small and medium-sized enterprises with serial production it is possible to design and apply a very simple but accurate enough stochastic model to determine the elements of working cycle time and in this way optimize the duration of production cycle time. Proposed stochastic model uses mean value calculations to establish control limits on 3 standard deviations for the individual elements of working time and thus to master the process. It is proposed that further investigations should focus on the application and testing of the model in other types of production, for example, assembly and the like and also at the problem of reducing the elements of transport time. The model was applied and involved a larger number of Serbian enterprises. The results obtained for two characteristic textile enterprises will be presented in this paper.
PB  - Ege Universitesi, Bornova-Izmir
T2  - Tekstil Ve Konfeksiyon
T1  - A stochastic model to determine the elements of production cycle time in textile industry in Serbia
EP  - 200
IS  - 3
SP  - 194
VL  - 25
UR  - https://hdl.handle.net/21.15107/rcub_machinery_2242
ER  - 

@article{
author = "Stanisavljev, Sanja and Klarin, Milivoj and Spasojević Brkić, Vesna and Ćoćkalo, Dragan and Đorđević, Dejan",
year = "2015",
abstract = "This paper presents a model for the stochastic determination of the elements of production cycle time is proposed and experimentally verified in this survey. The originality of the model is reflected in the idea of using a work sampling model to monitor the production cycle, as one of the most significant indicators of production effectiveness and efficiency, instead of applying classical methods. Based on experimental investigations in this paper has been proved that in the practice of small and medium-sized enterprises with serial production it is possible to design and apply a very simple but accurate enough stochastic model to determine the elements of working cycle time and in this way optimize the duration of production cycle time. Proposed stochastic model uses mean value calculations to establish control limits on 3 standard deviations for the individual elements of working time and thus to master the process. It is proposed that further investigations should focus on the application and testing of the model in other types of production, for example, assembly and the like and also at the problem of reducing the elements of transport time. The model was applied and involved a larger number of Serbian enterprises. The results obtained for two characteristic textile enterprises will be presented in this paper.",
publisher = "Ege Universitesi, Bornova-Izmir",
journal = "Tekstil Ve Konfeksiyon",
title = "A stochastic model to determine the elements of production cycle time in textile industry in Serbia",
pages = "200-194",
number = "3",
volume = "25",
url = "https://hdl.handle.net/21.15107/rcub_machinery_2242"
}

Stanisavljev, S., Klarin, M., Spasojević Brkić, V., Ćoćkalo, D.,& Đorđević, D.. (2015). A stochastic model to determine the elements of production cycle time in textile industry in Serbia. in Tekstil Ve Konfeksiyon
Ege Universitesi, Bornova-Izmir., 25(3), 194-200.
https://hdl.handle.net/21.15107/rcub_machinery_2242

Stanisavljev S, Klarin M, Spasojević Brkić V, Ćoćkalo D, Đorđević D. A stochastic model to determine the elements of production cycle time in textile industry in Serbia. in Tekstil Ve Konfeksiyon. 2015;25(3):194-200.
https://hdl.handle.net/21.15107/rcub_machinery_2242 .

Stanisavljev, Sanja, Klarin, Milivoj, Spasojević Brkić, Vesna, Ćoćkalo, Dragan, Đorđević, Dejan, "A stochastic model to determine the elements of production cycle time in textile industry in Serbia" in Tekstil Ve Konfeksiyon, 25, no. 3 (2015):194-200,
https://hdl.handle.net/21.15107/rcub_machinery_2242 .

TY  - JOUR
AU  - Ćoćkalo, Dragan
AU  - Stanisavljev, Sanja
AU  - Đorđević, Dejan
AU  - Klarin, Milivoj
AU  - Brkić, Aleksandar
PY  - 2014
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1967
AB  - A model for the stochastic determination of the elements of production cycle time is proposed and experimentally verified in this survey. The originality of the model as reflected in the idea of using a work sampling model to monitor the production cycle is one of the most significant indicators of production effectiveness and efficiency, instead of applying classical methods. It has been experimentally proved that for a corresponding representative set the elements of working time range according to normal distribution law and that, dynamically viewed, it is possible to use mean value calculations to establish control limits on three standard deviations for the individual elements of working time and thus to master the process. Based on our experimental investigations, it has been proved that in the practice of small and medium-sized enterprises with serial production it is possible to design and apply a very simple but accurate enough stochastic model to determine the elements of working cycle time and in this way optimize the duration of production cycle time.
PB  - Canadian Society for Mechanical Engineering
T2  - Transactions of the Canadian Society for Mechanical Engineering
T1  - Determination of the elements of production cycle time in serial production: the Serbian case
EP  - 304
IS  - 3
SP  - 289
VL  - 38
DO  - 10.1139/tcsme-2014-0021
ER  - 

@article{
author = "Ćoćkalo, Dragan and Stanisavljev, Sanja and Đorđević, Dejan and Klarin, Milivoj and Brkić, Aleksandar",
year = "2014",
abstract = "A model for the stochastic determination of the elements of production cycle time is proposed and experimentally verified in this survey. The originality of the model as reflected in the idea of using a work sampling model to monitor the production cycle is one of the most significant indicators of production effectiveness and efficiency, instead of applying classical methods. It has been experimentally proved that for a corresponding representative set the elements of working time range according to normal distribution law and that, dynamically viewed, it is possible to use mean value calculations to establish control limits on three standard deviations for the individual elements of working time and thus to master the process. Based on our experimental investigations, it has been proved that in the practice of small and medium-sized enterprises with serial production it is possible to design and apply a very simple but accurate enough stochastic model to determine the elements of working cycle time and in this way optimize the duration of production cycle time.",
publisher = "Canadian Society for Mechanical Engineering",
journal = "Transactions of the Canadian Society for Mechanical Engineering",
title = "Determination of the elements of production cycle time in serial production: the Serbian case",
pages = "304-289",
number = "3",
volume = "38",
doi = "10.1139/tcsme-2014-0021"
}

Ćoćkalo, D., Stanisavljev, S., Đorđević, D., Klarin, M.,& Brkić, A.. (2014). Determination of the elements of production cycle time in serial production: the Serbian case. in Transactions of the Canadian Society for Mechanical Engineering
Canadian Society for Mechanical Engineering., 38(3), 289-304.
https://doi.org/10.1139/tcsme-2014-0021

Ćoćkalo D, Stanisavljev S, Đorđević D, Klarin M, Brkić A. Determination of the elements of production cycle time in serial production: the Serbian case. in Transactions of the Canadian Society for Mechanical Engineering. 2014;38(3):289-304.
doi:10.1139/tcsme-2014-0021 .

Ćoćkalo, Dragan, Stanisavljev, Sanja, Đorđević, Dejan, Klarin, Milivoj, Brkić, Aleksandar, "Determination of the elements of production cycle time in serial production: the Serbian case" in Transactions of the Canadian Society for Mechanical Engineering, 38, no. 3 (2014):289-304,
https://doi.org/10.1139/tcsme-2014-0021 . .

TY  - JOUR
AU  - Klarin, Milivoj
AU  - Spasojević Brkić, Vesna
AU  - Stanisavljev, Sanja
AU  - Sajfert, Zvonko
AU  - Radojičić, Miroslav
AU  - Nikolić, Milan
AU  - Jovanovski, Bojan
PY  - 2012
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1397
AB  - A model for the stochastic determination of the elements of production cycle time is proposed and experimentally verified in this survey. The originality of the model is reflected in the idea of using a work sampling model to monitor the production cycle, as one of the most significant indicators of production effectiveness and efficiency, instead of applying classical methods. It has been experimentally proved that for a corresponding representative set the elements of working time range according to normal distribution law and that, dynamically viewed, it is possible using mean value calculations to establish control limits on 3 standard deviations for the individual elements of working time and thus to master the process.
PB  - Univerzitet u Novom Sadu - Tehnički fakultet Mihajlo Pupin, Zrenjanin
T2  - Journal of Engineering Management and Competitiveness (JEMC)
T1  - A stochastic model to determine the elements of production cycle time in enterprise
EP  - 56
IS  - 2
SP  - 48
VL  - 2
DO  - 10.5937/jemc1202048K
ER  - 

@article{
author = "Klarin, Milivoj and Spasojević Brkić, Vesna and Stanisavljev, Sanja and Sajfert, Zvonko and Radojičić, Miroslav and Nikolić, Milan and Jovanovski, Bojan",
year = "2012",
abstract = "A model for the stochastic determination of the elements of production cycle time is proposed and experimentally verified in this survey. The originality of the model is reflected in the idea of using a work sampling model to monitor the production cycle, as one of the most significant indicators of production effectiveness and efficiency, instead of applying classical methods. It has been experimentally proved that for a corresponding representative set the elements of working time range according to normal distribution law and that, dynamically viewed, it is possible using mean value calculations to establish control limits on 3 standard deviations for the individual elements of working time and thus to master the process.",
publisher = "Univerzitet u Novom Sadu - Tehnički fakultet Mihajlo Pupin, Zrenjanin",
journal = "Journal of Engineering Management and Competitiveness (JEMC)",
title = "A stochastic model to determine the elements of production cycle time in enterprise",
pages = "56-48",
number = "2",
volume = "2",
doi = "10.5937/jemc1202048K"
}

Klarin, M., Spasojević Brkić, V., Stanisavljev, S., Sajfert, Z., Radojičić, M., Nikolić, M.,& Jovanovski, B.. (2012). A stochastic model to determine the elements of production cycle time in enterprise. in Journal of Engineering Management and Competitiveness (JEMC)
Univerzitet u Novom Sadu - Tehnički fakultet Mihajlo Pupin, Zrenjanin., 2(2), 48-56.
https://doi.org/10.5937/jemc1202048K

Klarin M, Spasojević Brkić V, Stanisavljev S, Sajfert Z, Radojičić M, Nikolić M, Jovanovski B. A stochastic model to determine the elements of production cycle time in enterprise. in Journal of Engineering Management and Competitiveness (JEMC). 2012;2(2):48-56.
doi:10.5937/jemc1202048K .

Klarin, Milivoj, Spasojević Brkić, Vesna, Stanisavljev, Sanja, Sajfert, Zvonko, Radojičić, Miroslav, Nikolić, Milan, Jovanovski, Bojan, "A stochastic model to determine the elements of production cycle time in enterprise" in Journal of Engineering Management and Competitiveness (JEMC), 2, no. 2 (2012):48-56,
https://doi.org/10.5937/jemc1202048K . .