Aleksandar DjordjevicUniversity of Kragujevac · Faculty of Engineering
Aleksandar Djordjevic
Doctor of Philosophy
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61
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431
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Introduction
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March 2012 - April 2016
Publications
Publications (61)
This paper investigates the possibility of the application of different optimization techniques in the design and production planning phase in the metal additive manufacturing process, specifically laser powder bed fusion (L-PBF) additive technology. This technology has a significant market share and belongs to the group of mature additive technolo...
Managing defects in agricultural fruit processing is crucial for maintaining quality and sustainability in the fruit market. This study explores the use of edge devices, web applications, and machine vision algorithms to improve defect reporting and classification in the strawberry processing sector. A software solution was developed to utilize edg...
The rise in the overall standard of living leads to an increase in the number of used cars. As the number of cars increases, so do the maintenance requirements. As a result, the growth of vehicle washes is increasing. However, the issue of their economy comes up. The current literature sources present the following ecological and technical issue: h...
![Figure 1. Economical optimal AM scenario, [5].](profile/Srdjan-Zivkovic-3/publication/375217150/figure/fig1/AS:11431281202561651@1698931589933/Economical-optimal-AM-scenario-5_Q320.jpg)
![Figure 2. Metal AM Classifications, [7]](profile/Srdjan-Zivkovic-3/publication/375217150/figure/fig2/AS:11431281202587955@1698931590055/Metal-AM-Classifications-7_Q320.jpg)
![Figure 3. L-PBF principle, [8]](profile/Srdjan-Zivkovic-3/publication/375217150/figure/fig3/AS:11431281202627880@1698931590223/L-PBF-principle-8_Q320.jpg)
Abstract: Additive manufacturing (AM) is on the path from changing its early application in prototyping and low-volume production to serial production. Researchers, potential users, and companies from different
industrial segments still raise questions and doubts about whether to accept this technology and which advantages AM technologies can provi...
Subject of this paper is a system of quality management and sustainable development, with the basis of considerations of sustainable development and the structure of the key quality factors pointed to the possibility of achieving synergy of action on the most important variables, as well as the established model of integration of these two complex...
This research focuses on small- and medium-sized businesses that provide machining or other process services but do not produce their own products. Their daily manufacturing schedule varies according to client needs. Small- and medium-sized businesses strive to operate in these circumstances by extending their customer base and creating adequate pr...
This paper aims to propose a software solution for the detection of nonconformities and the definition of preventive and corrective actions that expands the use of edge devices in compliance with the Industry 4.0 paradigm. The software solution design presented hereafter is based on JavaScript frameworks combined in MEAN stack.
Abstract: Global competition demands faster and more economically production process, products to be more personalized with modern design, sophisticated and of higher quality. Companies are looking for new solutions and production technologies to achieve these requirements.
Although they have been on the market for almost 30 years, it is only in th...
This paper presents a case study of Machine Learning (ML) prediction model for small data sets instead of destructive testing of brazed contacts. The main problems noted in the study were data availability, data quality, an extremely low number of NOK destructive test results and overall small data set. Recent researches are not very often focused...
Global competition demands faster and more economically production process, products to be more personalized with modern design, sophisticated and of higher quality. Companies are looking for new solutions and production technologies to achieve these requirements. Although they have been on the market for almost 30 years, it is only in the last dec...
The implementation of computer vision in the process of identifying non-conforming products, as well as the application of technologies based on Internet networks, deep learning, large databases within the manufacturing industry leads to the emergence of quality 4.0. Today, the application of computer vision as well as non-conformity detection algo...
Additive manufacturing, as a production technology and a scientific field, offers a lot of potential for new research, attracts the attention and interest of manufacturing companies and the academic community. With a new approach in product design, a digital connection chain, and the possibility of producing final products with complex configuratio...
The fourth industrial revolution (I4.0) implies more collaborative and connected manufacturing. Industry 4.0 and smart manufacturing integrate human and intelligent devices to enhance workplace safety in a collaborative industrial environment (Safety 4.0). Collaborative robots (or cobots) have been developed with intuitive interfaces that support h...
Enterprise sustainability is a key aim in the fourth industrial revolution era, requiring a new approach based on intelligent technologies that considers the new roles of leadership and sustainability as well as the new trends in emerging smart technologies, with a new focus on Society 5.0. Smart parking has a significant role in fostering the dete...
Different aspects of development and implementation of ICT (Information and Communication Technology) have been analysed in previous period dominantly from the viewpoint of theory and practice related to information systems (IS), management information systems (MIS), information technology (IT), as well as management, teamwork, quality and many dif...
![KPIs of observed business processes [57].](profile/Aleksandar-Djordjevic-13/publication/358266596/figure/tbl1/AS:1121163136761861@1644317530753/KPIs-of-observed-business-processes-57_Q320.jpg)
In order to adapt to ever-changing customer needs and satisfy them, good Business Process Management (BPM) in Small and Medium-sized Enterprises (SMEs) is crucial. The target group of this research is production SMEs whose BPM can be monitored respecting the values of key performance indicators (KPIs). This paper shows how improving the performance...
The primary purpose of this paper is to present a system intended for student education based on a microcontroller platform and a cloud system where data will be stored. Obtained research results will be based on the application of The NodeMcu platform for data collection with sensor systems. MatLab, ThingSpeak cloud system and the Virtuino platfor...
![Figure 1. EFQM as the model for the research [5].](profile/Aleksandar-Djordjevic-13/publication/353014770/figure/fig1/AS:1042508561793025@1625564818447/EFQM-as-the-model-for-the-research-5_Q320.jpg)
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...
![RES potential in Serbia [21]](profile/Bojan-Stojcetovic/publication/352925730/figure/tbl1/AS:1041236739760130@1625261592777/RES-potential-in-Serbia-21_Q320.jpg)
The development of today's economies is inconceivable without energy. However, fossil fuel reserves are declining, climate change is accelerating and some changes in the energy sector are needed. Renewable energy sources are a potential solution for many scientists and practitioners. However, the planning and implementation of renewable energy proj...
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 perf...
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 inco...
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 consumpti...
The Industry 4.0 has become an important concept as well as direction in the industrial and social development. In the core of this new shift is implementation of new technologies that open a number of important issues, starting from managing
complexity of the systems, up to new educational and training needs for students and employees. In this pap...
![Chemical composition of IPS e.max ZirCAD [15]](profile/Marko-Pantic/publication/339733723/figure/tbl1/AS:865896608301057@1583457247892/Chemical-composition-of-IPS-emax-ZirCAD-15_Q320.jpg)
This paper describes the nanomechanical characteristics of Zirconium (IPS e.max ZirCAD, Ivoclar Vivadent) treated with three different surface finishing techniques: polishing, glazing and grinding, using the Anton Paar nanoindentation. The hardness (HV) and Elastic modulus (E) of the surface structure were presented as results of nanoindentation me...
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...
A tribological system is a complex non-linear system composed of the elements that are connected structurally and functionally. The aim of this paper is to present an overview of artificial neural networks, its development and applications of neural networks in the prediction of tribological properties of dental glass ceramic using a newly measured...
In a modern era of information technologies, everyday changes are more numerous and various. One of those changes is related to the greater use of mobile devices in a decision making processes. They may be used in the field of automation and improvement of production processes. Their main purpose may be seen as the achievement of optimal production...
Goal of this paper is to present current energy situation of the municipality of Štrpce and to define potential measures for its improvement. A total of 5 measures have been proposed to improve quality of supply. Future research should elaborate the proposed measures in detail and define concrete projects for improving the energy situation in Štrpc...
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 optimizati...
Contemporary manufacturing companies secure their existence and conquering new markets through the full implementation of the product lifecycle management (PLM) systems. The so-called CAD/CAM/CAE systems (Computer Aided Design – CAD, Computer Aided Manufacturing – CAM, Computer Aided Engineering – CAE) play a fundamental part of these systems. Duri...
In this paper Artificial Neural Network (ANN) model was developed for prediction of kerf width in plasma jet metal cutting process. Process parameters whose influence was analyzed are cutting height, cutting speed and arc current. An L18 (21x37) Taguchi orthogonal array experiment was conducted on aluminium sheet thickness of 3 mm. Using the experi...
The problem of assessment, selection and improvement of key performance indicators in the New Service Development process is one of the most important tasks of process managers, and it has a critical effect on the considered process effectiveness which is further propagated on the competitive advantage of each service small and medium enterprises....
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, dependi...
Plasma Jet Cutting process is one of the most important nonconventional machining methods that
uses a thermal energy of highly ionized gas to cut specified material. Its optimal combination of cut quality,
productivity and costs in cutting various types of materials increase its demand in the market and usually
position it in front of the other cut...
Abstract: In digital era knowledge gains one of a key roles for sustainable success. For regional sustainability profile of knowledge traits are different than in a previous period. Knowledge has to be more appropriate for digitalisation and digital transformation with new traits of leaders for leading digital change in more complex and competitive...
Today highly competitive market and demands for obtain high surface finish and machining of complex shape geometries replace conventional machining processes with non-conventional. Plasma jet cutting is one of these non-conventional processes that primary uses a thermal energy of highly ionized gas to cut specified material and blow molten metal aw...
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...
In information technologies, in the last few years, the changes are numerous and dynamic, and one of those changes is the massive use of mobile devices. They are not only used for communication, but also for access to applications and data in databases. Interactive processing of data from social networks, which is a priority for the mobile device,...
The diversity of business processes is very large, and in addition to this diversity between processes there are a number of tools, methods and techniques, especially from the perspective of business intelligence with prominent aspects of their development, the aspect of measurement and analysis of process performance. The purpose of this paper is...
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 p...
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 sustain...
The performance evaluation of business processes in uncertain environments has important consequences for investors, stakeholders and has critical importance for the improvement of business processes, which is one of the requirements of ISO 9001. In this paper, a new fuzzy model is proposed for evaluation and improvement of process quality. The fuz...
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 me...
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...
The aim of this study is to propose a fuzzy multi-criteria decision-making approach (MCDM) to evaluate the artificial hip prosthesis suppliers with respect to numerous criteria, simultaneously, taking into account the type of each criteria and its relative importance. The fuzzy of the Technique for Order Preference by Similarity to Ideal Solution (...
In order to improve the quality of their processes companies usually rely on quality management systems and the requirements of ISO 9001:2008. The small and medium-sized companies are faced with a series of challenges in objectification, evaluation and assessment of the quality of processes. In this paper, the strategy process is decomposed for one...
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 appr...
In this paper, we will present an approach for assessment and ranking of maintenance process performance indicators using the fuzzy set approach and genetic algorithms. Weight values of maintenance process indicators are defined using the experience of decision makers from analysed SMEs and calculated using the fuzzy set approach. In the second ste...
Each portfolio technology is changing with including new, exit old and changing the share according new needs and its satisfying. Recycling technologies have the some basic logic but some differences, depend on object (group of products), initial state of in
into production and rate of expanding the needs and requests. It needs to develop appropri...
Questions
Questions (3)
Dear Colleagues,
The Special Issue, “Symmetry in Process Optimization”, aims to explore the pervasive role of symmetry principles in advancing optimization techniques across diverse scientific domains. With a focus on the integration of machine learning and optimization methodologies, this Special Issue seeks to elucidate how symmetry considerations can enhance algorithmic efficiency, model robustness, and solution quality in various application areas (https://www.mdpi.com/journal/symmetry/special_issues/GV8S9L38DJ). By fostering interdisciplinary dialogue, this collection will illuminate novel approaches for tackling complex optimization problems in fields such as engineering, physics, chemistry, biology, and beyond. Through theoretical analyses, algorithm development, and real-world case studies, this issue aims to showcase the transformative potential of symmetry-aware optimization techniques in addressing contemporary scientific challenges.
Dr. Aleksandar Djordjevic
Prof. Dr. Miladin Stefanović
Guest Editors
Hello,
I have used NNA toolbox in MatLab and created neural network with two layers. First layer (with three neurons) uses tansig, and secon layer (with one neuorn) pureline transfer function. So, my transfer equation for the complete NN should look like this:
O=pureline(W2*tansig(W1i*Xi+B1)+B2)
Where O - represents the output, W2-weight vector of the second layer neuron, B2 - bias of the second layer neuron, W1i-weight vector of the first layer neuron, B1 - bias of the first layer neuron, and Xi - input values vector for the first layer neurons.
But when I want to use this equation, I do not get the same results as the NN outputs. Also, I have used normalized and non-normalized input values in the equation, and obtained results are not same as NN outputs in both cases.
My question is whether the equation is correct or whether it is missing something?
What is the most simple explanation to determine the difference between taxon and its opposite?
