This page has only limited features, please log in for full access.

Ms. Aleksandar Djordjevic
University of Kragujevac, Faculty of Engineering

Basic Info


Research Keywords & Expertise

0 ELV
0 Modeling
0 Industria 4.0
0 Susceptibility
0 Quality 4.0

Fingerprints

ELV
Quality 4.0

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 06 July 2021 in Sustainability
Reads 0
Downloads 0

The problem of sustainable business excellence has been investigated according to different aspects in different fields. For a more detailed analysis, it is necessary to develop an integrative sustainable business excellence model, respecting the baseline model of business excellence according to the European Foundation of Quality Management, with the possibility of defining the relationships and levels of significance of different variables. The primary goal of this paper is to present a developed integrative model to simulate the effects of information and communication technologies, and quality and effects of leadership improvement, as independent variables, on sustainable business excellence in higher education institutions, as a dependent variable. The model was developed by applying dynamic system techniques and evaluated by using statistical methods. In the sample of 17 Serbian and 21 Russian universities, the authors analyzed the information and communication support, leadership and quality, and their impact on sustainable business excellence. According to the simulation analysis, it was concluded that the EFQM model of self-assessment could help produce a more customer-oriented culture in HEIs, through ICT support, leadership and quality criteria enhancements.

ACS Style

Aleksandar Đorđević; Yury Klochkov; Slavko Arsovski; Nikola Stefanović; Luiza Shamina; Aleksandar Pavlović. The Impact of ICT Support and the EFQM Criteria on Sustainable Business Excellence in Higher Education Institutions. Sustainability 2021, 13, 7523 .

AMA Style

Aleksandar Đorđević, Yury Klochkov, Slavko Arsovski, Nikola Stefanović, Luiza Shamina, Aleksandar Pavlović. The Impact of ICT Support and the EFQM Criteria on Sustainable Business Excellence in Higher Education Institutions. Sustainability. 2021; 13 (14):7523.

Chicago/Turabian Style

Aleksandar Đorđević; Yury Klochkov; Slavko Arsovski; Nikola Stefanović; Luiza Shamina; Aleksandar Pavlović. 2021. "The Impact of ICT Support and the EFQM Criteria on Sustainable Business Excellence in Higher Education Institutions." Sustainability 13, no. 14: 7523.

Preprint content
Published: 21 June 2021
Reads 0
Downloads 0

Nonconformity detection and reporting are evergoing issues in quality management practice and theory. Throughout industrialisation, and consequently, in the Industry 4.0 period, manufacturing organisations strived to reduce nonconformities to the minimum level and reach zero-defect production. Nowadays, it is feasible to overcome this issue by incorporating adequate information and communication technologies and edge devices for nonconformity reporting, and nonconformity classification. These assumptions were a starting point for the research presented in this paper. This paper aims to propose a software solution for nonconformity detection and preventive and corrective actions definition that expands the utilisation of edge devices in compliance with Industry 4.0 and Quality 4.0 paradigms. Presented software solution design is based on JavaScript programming language and its ability to be implemented in all software solution's tiers through interconnected frameworks (MongoDB, Express.js, Angular, and Node.js) in a MEAN stack. The developed solution is implemented in three small and medium enterprises. Initial results show several benefits in increasing nonconformity detection and reporting, increasing employee participation in preventive and corrective actions definition and improved quality management system. The number of corrective and preventive actions was taken based on the assistance of the prediction module. All nonconformities were related to specific sections of ISO 9001:2015 standards so that quality managers and managers in the companies could have insight into the sources of the issues and the foundation for defining different managerial actions. When comparing the newly developed solution and other affordable solutions, it was determined that the new solution has a higher operating velocity if there is a significant increase in the volume of queries towards databases. The paper's main contribution reflects in the software solution's presentation intended for affordable identification and nonconformities massive workload reporting, integrated with other software modules for quality analysis, prediction, and problem-solving. In this way, it is possible to obtain horizontal scalability and richness of the proposed software solution for smart enterprises focused on World Class manufacturing and lean manufacturing. Furthermore, it is possible to achieve a shorter time for nonconformities elimination and better compliance with the ISO 9001: 2015 standard. The presented solution usage contributes to all participants involved in the organisation of production and production itself, through (1) involvement of all employees; (2) digitalisation and improvement of existing nonconformity reporting systems; (3) improvement of nonconformity perception; (4) improved awareness and evaluation of employer's contribution to nonconformity management; (5) making the technology easy to use. The research's novelty lies in presented solution utilisation for real-time nonconformity classification and proactive and corrective measures proposals through communication and prediction modules.

ACS Style

Aleksandar Đorđević; Miladin Stefanović; Tijana Cvetić; Milan Erić; Milan Mišić. A novel JavaScript MEAN stack approach for real-time nonconformity management in SMEs within Industry 4.0 and Quality 4.0 concepts. 2021, 1 .

AMA Style

Aleksandar Đorđević, Miladin Stefanović, Tijana Cvetić, Milan Erić, Milan Mišić. A novel JavaScript MEAN stack approach for real-time nonconformity management in SMEs within Industry 4.0 and Quality 4.0 concepts. . 2021; ():1.

Chicago/Turabian Style

Aleksandar Đorđević; Miladin Stefanović; Tijana Cvetić; Milan Erić; Milan Mišić. 2021. "A novel JavaScript MEAN stack approach for real-time nonconformity management in SMEs within Industry 4.0 and Quality 4.0 concepts." , no. : 1.

Journal article
Published: 08 April 2021 in Sustainability
Reads 0
Downloads 0

This paper aims to propose a quality assessment model for higher education institutions in the technical–technological field and a system for decision support and optimal management strategies for quality improvement. Obtaining research results is based on surveying stakeholders in higher education and obtaining quantitative data regarding key performance indices. Quantitative data and the genetic algorithm method are applied to determine optimal management strategies for quality improvement. Quality in the higher education sector is among the current issues in the academic community. By monitoring and researching the higher education field and analysing the literature and the current situation in the system of higher education in developing countries, it can be concluded that there is no single way to assess the quality of higher education institutions. This knowledge was a good starting point for the research presented in this paper. Accordingly, the findings include developing a system for quality assessment and the ranking of higher education institutions. Additionally, evaluating the relevance of key performance indicators of higher education institutions differs from different stakeholder perspectives. However, it is possible to develop a system for decision support and the selection of the optimal strategy for improving the performance of study programs and higher education institutions with regard to quality. The practical implications include defining a decision support system that enables the adoption of optimal decisions by the management teams of higher education institutions to improve study programs and the performance of the higher education institutions. The presented system may enable the benchmarking, simulation, and verification of different scenarios for improving the quality and performance of higher education institutions. In this paper, the authors analysed the characteristics, benefits, and drawbacks of different ranking systems to develop and introduce a novel ranking system that suggests weights for the ranking criteria and different perspectives regarding new digital age requirements. The model was tested, and the results are presented to demonstrate the advantages of the developed model. The originality of the research lies in the presented novel model that can be made available to government institutions and serve as a basis for the overall ranking and evaluation of higher education institutions, with the possibility of developing a performance-based funding system. Additionally, other stakeholders can gain an insight into the performance of an institution in relation to their needs and goals.

ACS Style

Zorica Lazić; Aleksandar Đorđević; Albina Gazizulina. Improvement of Quality of Higher Education Institutions as a Basis for Improvement of Quality of Life. Sustainability 2021, 13, 4149 .

AMA Style

Zorica Lazić, Aleksandar Đorđević, Albina Gazizulina. Improvement of Quality of Higher Education Institutions as a Basis for Improvement of Quality of Life. Sustainability. 2021; 13 (8):4149.

Chicago/Turabian Style

Zorica Lazić; Aleksandar Đorđević; Albina Gazizulina. 2021. "Improvement of Quality of Higher Education Institutions as a Basis for Improvement of Quality of Life." Sustainability 13, no. 8: 4149.

Journal article
Published: 22 October 2020 in Sustainability
Reads 0
Downloads 0

End-of-life vehicle (ELV) recycling is a process that spends energy and could be an energy source as well. This part of energy recovering depends on many different factors related to the broad and local aspects of ELV recycling. The ELV recycling process is consuming energy from different energy sources (electrical, fossil), however, this consumption is lower in relation to energy consumption during the production of new vehicle parts from the very beginning. This article attempts to promote an integrated approach in the analysis of the problem of energy recovery through ELV recycling. Authors aim to analyze the ELV recycling process as an energy generator and to present possibilities for its energy recovery. The research analyses are based on the empirical investigation of ELV recycling in the Republic of Serbia, as a developing country, and on defined statistical model presenting the impact of ELV recycling on energy generation, spending, and conservation during one-year intervals. Research results showed that the higher ELV generation rates may led to a higher energy recovery, and environmental and socio-economic sustainability.

ACS Style

Vuk Petronijević; Aleksandar Đorđević; Miladin Stefanović; Slavko Arsovski; Zdravko Krivokapić; Milan Mišić. Energy Recovery through End-of-Life Vehicles Recycling in Developing Countries. Sustainability 2020, 12, 8764 .

AMA Style

Vuk Petronijević, Aleksandar Đorđević, Miladin Stefanović, Slavko Arsovski, Zdravko Krivokapić, Milan Mišić. Energy Recovery through End-of-Life Vehicles Recycling in Developing Countries. Sustainability. 2020; 12 (21):8764.

Chicago/Turabian Style

Vuk Petronijević; Aleksandar Đorđević; Miladin Stefanović; Slavko Arsovski; Zdravko Krivokapić; Milan Mišić. 2020. "Energy Recovery through End-of-Life Vehicles Recycling in Developing Countries." Sustainability 12, no. 21: 8764.

Journal article
Published: 21 October 2019 in Upravlenie
Reads 0
Downloads 0

The peculiarities of construction of local self-government models in the modern Slavic States, which in the 90-s of XX century abandoned the socialist path of development, – have been examined. The aim of the study is to identify specific features and common approaches to the construction of local self-government system, based on the analysis of the practice of local self-government institutions of the Slavic States and the provisions of the Constitutions of the Republic of Serbia, the Republic of Poland, the Czech Republic, the Slovak Republic, Ukraine, the Republic of Croatia, the Russian Federation, etc.The organizational forms of local self-government and the particularities of the implementation of local issues, taking into account national traditions, – have been analyzed. In this connection, the majority of modern Slavic States recognizes and guarantees local self-government as the most important constitutional value and institution of the people’s right. It has been determined, that the list of issues of local importance mainly affects the areas of urban planning, municipal activities, culture, sports, social protection of the population and children, preschool education, healthcare, approval of municipal programs of economic development, local budgets, taxes and fees, the appointment of local referendums, etc. However, there there is a number of countries, in which local government issues are not specified in the Constitution. Among the criteria for the difference between the models of local self-government are the following: the list of issues of local importance and competence of local self-government bodies; relations with public authorities and the degree of freedom of local self-government from the state; territorial organization of local self-government, etc.It has been concluded, that the most common form of interaction between public authorities and local self-government for the Slavic states at the beginning of the XXI century, was the Zemstvo-state model, that takes into account the mutual interests of a sovereign power and the population, living within certain territorial communities.

ACS Style

A. Djordjević; А. В. Серегин; М. А. Черкасова; И. В. Милькина. Peculiarities of construction of local self-government models in the modern slavic states. Upravlenie 2019, 7, 5-11 .

AMA Style

A. Djordjević, А. В. Серегин, М. А. Черкасова, И. В. Милькина. Peculiarities of construction of local self-government models in the modern slavic states. Upravlenie. 2019; 7 (3):5-11.

Chicago/Turabian Style

A. Djordjević; А. В. Серегин; М. А. Черкасова; И. В. Милькина. 2019. "Peculiarities of construction of local self-government models in the modern slavic states." Upravlenie 7, no. 3: 5-11.

Article
Published: 01 January 2019 in Economic Research-Ekonomska Istraživanja
Reads 0
Downloads 0

The issues of operational, organisational and process risk assessment in supply chains (SCs) are the most usually analysed, while other risk groups (like economic and social risks) are not taken into account, even though they have a critical effect on the competitive advantage and SCs sustainability over long time periods. The determination of risk value that may arise due to the materialisation of each defined risk factor (RF) is based on the assessment of the severity of RF consequences and frequency of RF occurrence. These judgments are obtained by decision makers and modelled by using fuzzy set theory. The relative importance of RFs are stated by fuzzy pair-wise comparison matrices in compliance with fuzzy analytical hierarchy process (FAHP). The risk level of SCs could be obtained in an exact way by applying fuzzy logic. The proposed model, to be presented in this paper, provides a possibility to easily and simply determine risk level from the automotive industry SC and to propose appropriate management initiatives that should lead to a reduction or elimination of RF influence.

ACS Style

Goran Đurić; Gordana Todorović; Aleksandar Đorđević; Ankica Borota Tišma. A New Fuzzy Risk Management Model for Production Supply Chain Economic and Social Sustainability. Economic Research-Ekonomska Istraživanja 2019, 32, 1697 -1715.

AMA Style

Goran Đurić, Gordana Todorović, Aleksandar Đorđević, Ankica Borota Tišma. A New Fuzzy Risk Management Model for Production Supply Chain Economic and Social Sustainability. Economic Research-Ekonomska Istraživanja. 2019; 32 (1):1697-1715.

Chicago/Turabian Style

Goran Đurić; Gordana Todorović; Aleksandar Đorđević; Ankica Borota Tišma. 2019. "A New Fuzzy Risk Management Model for Production Supply Chain Economic and Social Sustainability." Economic Research-Ekonomska Istraživanja 32, no. 1: 1697-1715.

Research article
Published: 11 October 2018 in Waste Management & Research: The Journal for a Sustainable Circular Economy
Reads 0
Downloads 0

In the sense of contemporary industrial challenges, it may be said that many issues in the field of recycling may be analysed. In this paper, the model for choosing locations for construction of recycling centres equipped with new technology is proposed. The considered problem may be stated as a two-objective optimization problem, if the optimization criteria are presented as total distance and the overall suitability index sum. The relative importance and values of possible locations’ attributes are described by pre-defined linguistic expressions, and modelled by interval triangular type-2 fuzzy numbers. Type-2 fuzzy numbers provide a possibility to incorporate the uncertainty of membership functions into the fuzzy set theory. The procedure for determination of the overall suitability index is proposed. Selection of the most appropriate locations is achieved by a two-objective genetic algorithm, since it is very suitable for the routing issues. The proposed model application is illustrated with the real-life data that come from a few regions in Serbia.

ACS Style

Danijela Tadić; Aleksandar Djordjevic; Aleksandar Aleksić; Snežana Nestić. Selection of recycling centre locations by using the interval type-2 fuzzy sets and two-objective genetic algorithm. Waste Management & Research: The Journal for a Sustainable Circular Economy 2018, 37, 26 -37.

AMA Style

Danijela Tadić, Aleksandar Djordjevic, Aleksandar Aleksić, Snežana Nestić. Selection of recycling centre locations by using the interval type-2 fuzzy sets and two-objective genetic algorithm. Waste Management & Research: The Journal for a Sustainable Circular Economy. 2018; 37 (1):26-37.

Chicago/Turabian Style

Danijela Tadić; Aleksandar Djordjevic; Aleksandar Aleksić; Snežana Nestić. 2018. "Selection of recycling centre locations by using the interval type-2 fuzzy sets and two-objective genetic algorithm." Waste Management & Research: The Journal for a Sustainable Circular Economy 37, no. 1: 26-37.

Research article
Published: 28 August 2017 in Mathematical Problems in Engineering
Reads 0
Downloads 0

The problem of classification of risk factors in an uncertain environment is part of the risk management problem, which has a critical effect on the competitive advantage of production supply chain. The severities of consequences, their relative importance, and the frequency of occurrence of risk factors are defined by risk management team, depending on their experience and the results of good practice. Fuzzy rating of the severities of consequences and the frequency of occurrence of risk factors are described by linguistic expressions, which are modeled by triangular fuzzy numbers. The risk values, obtained by the materialization of the identified risk factors, are given precisely with the usage of fuzzy algebra rules. The classification criterion is defined as the distance between current risk value and extreme risk values. The proposed model enables determination of the priorities of risk factors. It is illustrated by an example with real-life data from a production supply chain in auto industry.

ACS Style

Aleksandar Vujović; Aleksandar Đorđević; Ranka Gojković; Milan Borota. ABC Classification of Risk Factors in Production Supply Chains with Uncertain Data. Mathematical Problems in Engineering 2017, 2017, 1 -11.

AMA Style

Aleksandar Vujović, Aleksandar Đorđević, Ranka Gojković, Milan Borota. ABC Classification of Risk Factors in Production Supply Chains with Uncertain Data. Mathematical Problems in Engineering. 2017; 2017 ():1-11.

Chicago/Turabian Style

Aleksandar Vujović; Aleksandar Đorđević; Ranka Gojković; Milan Borota. 2017. "ABC Classification of Risk Factors in Production Supply Chains with Uncertain Data." Mathematical Problems in Engineering 2017, no. : 1-11.

Research article
Published: 11 August 2016 in Advances in Mechanical Engineering
Reads 0
Downloads 0

The difference between the production cost and selling price of the products may be viewed as a criterion that determines an organization’s competitiveness and market success. In such circumstances, it is necessary to impact these criteria in order to maximize this difference. The selling products’ price, in modern market conditions, is a category which may not be significantly affected. So organizations have one option, which is the production cost reduction. This is the motive for business organizations and the imperative of each organization. The key parameters that influence the costs of production and therefore influence the competitiveness of organizations are the parameters of production machines and processes used to create products. To define optimal parameter values for production machines and processes that will reduce production costs and increase competitiveness of production organizations, the authors have developed a new mathematical model. The model is based on application of the ABC classification method to classify production line processes based on their costs and an application of a genetic algorithm to find the optimal values of production machine parameters used in these processes. It has been applied in three different modern production line processes; the costs obtained by the model application have been compared with the real production costs.

ACS Style

Milan Erić; Miladin Stefanovic; Aleksandar Djordjevic; Nikola Stefanovic; Milan Mišić; Nebojsa Abadic; Pavle Popović. Production process parameter optimization with a new model based on a genetic algorithm and ABC classification method. Advances in Mechanical Engineering 2016, 8, 1 .

AMA Style

Milan Erić, Miladin Stefanovic, Aleksandar Djordjevic, Nikola Stefanovic, Milan Mišić, Nebojsa Abadic, Pavle Popović. Production process parameter optimization with a new model based on a genetic algorithm and ABC classification method. Advances in Mechanical Engineering. 2016; 8 (8):1.

Chicago/Turabian Style

Milan Erić; Miladin Stefanovic; Aleksandar Djordjevic; Nikola Stefanovic; Milan Mišić; Nebojsa Abadic; Pavle Popović. 2016. "Production process parameter optimization with a new model based on a genetic algorithm and ABC classification method." Advances in Mechanical Engineering 8, no. 8: 1.

Research article
Published: 06 August 2016 in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Reads 0
Downloads 0

In this article, a novel approach for assessment and ranking of maintenance process indicators as well as maintenance cost indicators and maintenance equipment indicators using the fuzzy sets approach and genetic algorithms is presented. Weight values of these indicators are defined using the experience of decision makers from analyzed small and medium enterprises (total number of 197 persons) and calculated using the fuzzy sets approach. In the second step, a model for ranking and optimization of maintenance performance indicators and small and medium enterprises by using genetic algorithm is presented. The presented approach enables multi-objective optimization of selected key performance indicators in the scope of optimization of maintenance performances. The value of optimization was tested on a group of small and medium enterprises which proved that improvement of maintenance performance could be more significant (or performed at the shorter period of time) if the specific key performance indicators were targeted for improvement. The presented solution could provide identification of strengths and weaknesses (comparing key performance indicators), learning from a leading organization (in prioritization of key performance indicator improvement) and improvement of maintenance performance.

ACS Style

Miladin Stefanovic; Snezana Nestic; Aleksandar Djordjevic; Dusan Djurovic; Ivan Macuzic; Danijela Tadic; Marija Gacic. An assessment of maintenance performance indicators using the fuzzy sets approach and genetic algorithms. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 2016, 231, 15 -27.

AMA Style

Miladin Stefanovic, Snezana Nestic, Aleksandar Djordjevic, Dusan Djurovic, Ivan Macuzic, Danijela Tadic, Marija Gacic. An assessment of maintenance performance indicators using the fuzzy sets approach and genetic algorithms. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2016; 231 (1):15-27.

Chicago/Turabian Style

Miladin Stefanovic; Snezana Nestic; Aleksandar Djordjevic; Dusan Djurovic; Ivan Macuzic; Danijela Tadic; Marija Gacic. 2016. "An assessment of maintenance performance indicators using the fuzzy sets approach and genetic algorithms." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 1: 15-27.

Journal article
Published: 01 January 2016 in Journal of Applied Engineering Science
Reads 0
Downloads 0

In this paper, an extended multi-regression model for determining strength relation among dimensions of sustainable development and quality of life in section of communal services in urban areas is developed. The relative importance of dimensions of sustainable development is stated by pairwise comparison matrix. The values of dimensions of sustainable development and quality of life are assessed by decision makers. Judgments of decision makers are mapped into common measurement scale. The weighted values of sustainable development dimensions are calculated as product of their weights and assessed values. The assessed values of quality life are depended variable in the proposed linear multi-regression model. By using standard statistical software, partial correlation coefficients are given. The proposed linear multi-regression model is illustrated by example with real life data. Sustainable development; Quality of life; Assessment; Sustainable use

ACS Style

Gordana Todorovic; Ivan Savovic; Aleksandar Djordjevic. Analysis of items of sustainable quality of life concept based on extended linear multi-regression model. Journal of Applied Engineering Science 2016, 14, 425 -432.

AMA Style

Gordana Todorovic, Ivan Savovic, Aleksandar Djordjevic. Analysis of items of sustainable quality of life concept based on extended linear multi-regression model. Journal of Applied Engineering Science. 2016; 14 (4):425-432.

Chicago/Turabian Style

Gordana Todorovic; Ivan Savovic; Aleksandar Djordjevic. 2016. "Analysis of items of sustainable quality of life concept based on extended linear multi-regression model." Journal of Applied Engineering Science 14, no. 4: 425-432.

Journal article
Published: 14 December 2015 in Sustainability
Reads 0
Downloads 0

The business environment is rapidly changing and puts pressure on enterprises to find effective ways to survive and develop. Since it is almost impossible to identify the multitude of complex conditions and business risks, an organization has to build its resilience in order to be able to overcome issues and achieve long term sustainability. This paper contributes by establishing a two-step model for assessment and enhancement of organizational resilience potential oriented towards Small and Medium Enterprises (SMEs) in the process industry. Using a dynamic modelling technique and statistical tools, a sample of 120 SMEs in Serbia has been developed as a testing base, and one randomly selected enterprise was used for model testing and verification. Uncertainties regarding the relative importance of organizational resilience potential factors (ORPFs) and their value at each level of business are described by pre-defined linguistic expressions. The calculation of the relative importance of ORPFs for each business level is stated as a fuzzy group decision making problem. First, the weighted ORPFs’ values and resilience potential at each business level are determined. In the second step, near optimal enhancement of ORPFs’ values is achieved by applying a genetic algorithm (GA).

ACS Style

Slavko Arsovski; Goran Putnik; Zora Arsovski; Danijela Tadic; Aleksandar Aleksic; Aleksandar Djordjevic; Slavisa Moljevic. Modelling and Enhancement of Organizational Resilience Potential in Process Industry SMEs. Sustainability 2015, 7, 16483 -16497.

AMA Style

Slavko Arsovski, Goran Putnik, Zora Arsovski, Danijela Tadic, Aleksandar Aleksic, Aleksandar Djordjevic, Slavisa Moljevic. Modelling and Enhancement of Organizational Resilience Potential in Process Industry SMEs. Sustainability. 2015; 7 (12):16483-16497.

Chicago/Turabian Style

Slavko Arsovski; Goran Putnik; Zora Arsovski; Danijela Tadic; Aleksandar Aleksic; Aleksandar Djordjevic; Slavisa Moljevic. 2015. "Modelling and Enhancement of Organizational Resilience Potential in Process Industry SMEs." Sustainability 7, no. 12: 16483-16497.

Journal article
Published: 27 August 2015 in Journal of Intelligent & Fuzzy Systems
Reads 0
Downloads 0
ACS Style

Snezana Nestic; Aleksandar Djordjevic; Hrvoje Puskaric; Marija Zahar Djordjevic; Danijela Tadic; Miladin Stefanovic. The evaluation and improvement of process quality by using the fuzzy sets theory and genetic algorithm approach. Journal of Intelligent & Fuzzy Systems 2015, 29, 2017 -2028.

AMA Style

Snezana Nestic, Aleksandar Djordjevic, Hrvoje Puskaric, Marija Zahar Djordjevic, Danijela Tadic, Miladin Stefanovic. The evaluation and improvement of process quality by using the fuzzy sets theory and genetic algorithm approach. Journal of Intelligent & Fuzzy Systems. 2015; 29 (5):2017-2028.

Chicago/Turabian Style

Snezana Nestic; Aleksandar Djordjevic; Hrvoje Puskaric; Marija Zahar Djordjevic; Danijela Tadic; Miladin Stefanovic. 2015. "The evaluation and improvement of process quality by using the fuzzy sets theory and genetic algorithm approach." Journal of Intelligent & Fuzzy Systems 29, no. 5: 2017-2028.

Journal article
Published: 01 January 2015 in European J. of Industrial Engineering
Reads 0
Downloads 0

In this paper, the production process is decomposed for typical manufacturing small and medium sized enterprises (SMEs) and the metrics of the defined sub processes, based on the requirements of ISO 9001:2008, are developed. The weight values of production process performance indicators are defined, using the experience of decision makers from the analysed manufacturing SMEs, and calculated using the fuzzy set approach. Finally, the developed solution, based on the genetic algorithm approach, is presented and tested on data from 112 Serbian manufacturing SMEs. The presented solution enables quality assessment of a production process, the ranking of indicators, optimisation and provides the basis for successful improvement of the production process quality. [Received 13 April 2013; Revised 7 October 2013; Accepted 5 November 2013]

ACS Style

Snezana Nestic; Miladin Stefanovic; Aleksandar Djordjevic; Slavko Arsovski; Danijela Tadic. A model of the assessment and optimisation of production process quality using the fuzzy sets and genetic algorithm approach. European J. of Industrial Engineering 2015, 9, 77 .

AMA Style

Snezana Nestic, Miladin Stefanovic, Aleksandar Djordjevic, Slavko Arsovski, Danijela Tadic. A model of the assessment and optimisation of production process quality using the fuzzy sets and genetic algorithm approach. European J. of Industrial Engineering. 2015; 9 (1):77.

Chicago/Turabian Style

Snezana Nestic; Miladin Stefanovic; Aleksandar Djordjevic; Slavko Arsovski; Danijela Tadic. 2015. "A model of the assessment and optimisation of production process quality using the fuzzy sets and genetic algorithm approach." European J. of Industrial Engineering 9, no. 1: 77.

Journal article
Published: 21 November 2013 in Computer Applications in Engineering Education
Reads 0
Downloads 0

The concept of web laboratories with remotely controlled laboratory set ups or virtual laboratories with different simulations have an important role in engineering education and training. This paper presents an evaluation of the fundamental objectives of laboratories for distance education, comparing the effectiveness of a remotely controlled approach versus simulations. The results and analysis show that students prefer remotely controlled laboratories compared to simulation labs. The results show that remotely controlled laboratories better fulfill objectives important for laboratory exercises. © 2013 Wiley Periodicals, Inc. Comput Appl Eng Educ; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21589

ACS Style

Miladin Stefanovic; Danijela Tadic; Snezana Nestic; Aleksandar Djordjevic. An assessment of distance learning laboratory objectives for control engineering education. Computer Applications in Engineering Education 2013, 23, 191 -202.

AMA Style

Miladin Stefanovic, Danijela Tadic, Snezana Nestic, Aleksandar Djordjevic. An assessment of distance learning laboratory objectives for control engineering education. Computer Applications in Engineering Education. 2013; 23 (2):191-202.

Chicago/Turabian Style

Miladin Stefanovic; Danijela Tadic; Snezana Nestic; Aleksandar Djordjevic. 2013. "An assessment of distance learning laboratory objectives for control engineering education." Computer Applications in Engineering Education 23, no. 2: 191-202.