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The article deals with the specification of the most suitable machining parameters for three newly designed end mills in the term of stability of the deep groove machining, at which the depth of cut is minimally twice higher the diameter of the cutter. Online vibration analysis was selected as a tool for goal achievement. The partial objective of the first phase of experimental research was to set the boundary conditions of vibrodiagnostics at the specification of the behaviour of three commercially produced milling cutters when the results were compared with the surface roughness achieved at the machining with individual cutting parameters. Vibrodiagnostic conditions were subsequently applied in the second phase of the experiment to determine the most suitable machining parameters of newly designed milling cutters. The Pinnacle VMC 650 CNC machining centre with Fanuc control system was used to perform the experiments. The material of cutters was S-grade sintered carbide, and all the designed cutters were PVD coated with the same AlTiN (aluminium titanium nitride) coating. The machined material was 16MnCr5 (1.7131) steel. The surface roughness analysis after machining by newly designed cutters pointed out that they are better as for the surface quality in comparison with the commercially produced end mills. Finally, it was possible to state that the four-tooth cutter 01-FVT with helix angles (β1 = 39° and β2 = 41°) and tooth pitch (τ1 = 83° and τ2 = 97°) seems to be the best tool for milling deep-shaped grooves among all the tested milling cutters.
Peter Pavol Monka; Katarina Monkova; Vidosav D. Majstorovic; Željko Božić; Andrej Andrej. Optimal cutting parameter specification of newly designed milling tools based on the frequency monitoring. The International Journal of Advanced Manufacturing Technology 2020, 1 -18.
AMA StylePeter Pavol Monka, Katarina Monkova, Vidosav D. Majstorovic, Željko Božić, Andrej Andrej. Optimal cutting parameter specification of newly designed milling tools based on the frequency monitoring. The International Journal of Advanced Manufacturing Technology. 2020; ():1-18.
Chicago/Turabian StylePeter Pavol Monka; Katarina Monkova; Vidosav D. Majstorovic; Željko Božić; Andrej Andrej. 2020. "Optimal cutting parameter specification of newly designed milling tools based on the frequency monitoring." The International Journal of Advanced Manufacturing Technology , no. : 1-18.
The implementation of Industry 4.0 concepts has significant implications for the manufacturing landscape. The aim of this study is to assess the level of general readiness for Industry 4.0 in the emerging economy of Serbia. The obtained results indicate that the majority of Serbian manufacturing sector has not yet embarked on the path towards transformation and implementation of advanced technologies.
Tanja Todorovic; Bojan Lalic; Vidosav Majstorovic; Ugljesa Marjanovic; Nemanja Tasic. General Readiness Assessment of Industry 4.0: Evidence from Serbian Manufacturing Industry. Collaboration in a Hyperconnected World 2020, 139 -146.
AMA StyleTanja Todorovic, Bojan Lalic, Vidosav Majstorovic, Ugljesa Marjanovic, Nemanja Tasic. General Readiness Assessment of Industry 4.0: Evidence from Serbian Manufacturing Industry. Collaboration in a Hyperconnected World. 2020; ():139-146.
Chicago/Turabian StyleTanja Todorovic; Bojan Lalic; Vidosav Majstorovic; Ugljesa Marjanovic; Nemanja Tasic. 2020. "General Readiness Assessment of Industry 4.0: Evidence from Serbian Manufacturing Industry." Collaboration in a Hyperconnected World , no. : 139-146.
Industry 4.0 (I4.0) is a new model of technology systems automation, based on the convergence of technologies that make up the concept of intelligent manufacturing, integrated with information and communication technologies that have been applied in a new way (cloud computing, big data analytics and AI), and the basis of distributed control. This approach has brought unprecedented opportunities to manufacturing systems, especially in the fields of planning and control, from resource to supply chains levels. For this reason, enterprise resource planning (ERP) is being researched and developed, which is based on the use of I4.0 elements: internet of things (IoT), big data analytics (BDA), AI and cloud computing (CC), which in this paper show.
Vidosav Majstorovic; Slavenko Stojadinovic; Bojan Lalic; Ugljesa Marjanovic. ERP in Industry 4.0 Context. Collaboration in a Hyperconnected World 2020, 287 -294.
AMA StyleVidosav Majstorovic, Slavenko Stojadinovic, Bojan Lalic, Ugljesa Marjanovic. ERP in Industry 4.0 Context. Collaboration in a Hyperconnected World. 2020; ():287-294.
Chicago/Turabian StyleVidosav Majstorovic; Slavenko Stojadinovic; Bojan Lalic; Ugljesa Marjanovic. 2020. "ERP in Industry 4.0 Context." Collaboration in a Hyperconnected World , no. : 287-294.
One of the common problems of organizations with turn-key projects is the high scrap rate. There exist such traditional methods as Lean Six Sigma (LSS) and DMAIC tools that analyze causes and suggest solutions. New emerging intelligent technologies should influence these methods and tools as they affect many areas of our life. The purpose of this paper is to present the innovative Lean Six Sigma method for the Small Mixed Bathes (SMB) production system. The standard set of LSS tools is extended by intelligent technologies such as artificial neural networks (ANN) and machine learning. The proposed method uses the data-driven quality strategy to improve the turning process at the bakery machine manufacturer. The case study shows the step-by-step DMAIC procedure of critical to quality (CTQ) characteristics improvement. Findings from the data analysis lead to a change of measurement instrument, training of operators, and lathe machine set-up correction. However, the scrap rate did not decrease significantly. Therefore the advanced mathematical model based on ANN was built. This model predicts the CTQ characteristics from the inspection certificate of the input material. The prediction model is a part of a newly designed process control scheme using machine learning algorithms to reduce the variability even for input material with different properties from new suppliers. Further research will be focused on the validation of the proposed control scheme, and acquired experiences will be used to support business sustainability.
Kristina Zgodavova; Peter Bober; Vidosav Majstorovic; Katarina Monkova; Gilberto Santos; Darina Juhaszova. Innovative Methods for Small Mixed Batches Production System Improvement: The Case of a Bakery Machine Manufacturer. Sustainability 2020, 12, 6266 .
AMA StyleKristina Zgodavova, Peter Bober, Vidosav Majstorovic, Katarina Monkova, Gilberto Santos, Darina Juhaszova. Innovative Methods for Small Mixed Batches Production System Improvement: The Case of a Bakery Machine Manufacturer. Sustainability. 2020; 12 (15):6266.
Chicago/Turabian StyleKristina Zgodavova; Peter Bober; Vidosav Majstorovic; Katarina Monkova; Gilberto Santos; Darina Juhaszova. 2020. "Innovative Methods for Small Mixed Batches Production System Improvement: The Case of a Bakery Machine Manufacturer." Sustainability 12, no. 15: 6266.
Industry 4.0 has become a global programme of scientific and technological development, which covers all economic activities of today. The most developed countries have adopted their own programmes and they implement them for Industry 4.0. Our country is also intensively working on this Programme. This paper presents a model for assessing maturity and readiness of manufacturing organizations (industry branches) to operate and implement the Project I4.0 in their environment.
Vidosav Majstorovic; Radivoje M. Mitrović; Žarko Z. Mišković. Assessing Industry 4.0 Readiness in Manufacturing Companies from Serbia. Recent Advances in Computational Mechanics and Simulations 2020, 69 -79.
AMA StyleVidosav Majstorovic, Radivoje M. Mitrović, Žarko Z. Mišković. Assessing Industry 4.0 Readiness in Manufacturing Companies from Serbia. Recent Advances in Computational Mechanics and Simulations. 2020; ():69-79.
Chicago/Turabian StyleVidosav Majstorovic; Radivoje M. Mitrović; Žarko Z. Mišković. 2020. "Assessing Industry 4.0 Readiness in Manufacturing Companies from Serbia." Recent Advances in Computational Mechanics and Simulations , no. : 69-79.
The framework for smart manufacturing metrology model (S3M), are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of global/local inspection plan for coordinate measuring machine (CMM). S3M has an extremely expressed requirement for better control, monitoring and data mining. Limitations still exist in data storages, networks and computers, as well as in the tools for complex data analysis, detection of its structure and retrieval of useful information. This paper will present recent results of our research on building of S3M as support Industry 4.0. Presented approach to S3M development includes four levels: (i) mathematical model of the measuring sensor path, which establishes a connection between the coordinate systems; (ii) generating the needed set of information to integrate the given tolerances and geometry of the parts by applying an ontological knowledge base; (iii) the application of AI techniques such as ACO and GA to optimize the measurement path, numbers of measuring part setup and configuration of the measuring probes; (iv) simulation of measurement path for a collision check. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list for appropriate CMM. The experiment was successfully carried out on the examples of prismatic part and two turbine blades or its free-form measuring surfaces.
Slavenko M. Stojadinović; Vidosav Majstorovic; Dragan Djurdjanović; Srdjan Živković. An Approach of Development Smart Manufacturing Metrology Model as Support Industry 4.0. Recent Advances in Computational Mechanics and Simulations 2020, 190 -204.
AMA StyleSlavenko M. Stojadinović, Vidosav Majstorovic, Dragan Djurdjanović, Srdjan Živković. An Approach of Development Smart Manufacturing Metrology Model as Support Industry 4.0. Recent Advances in Computational Mechanics and Simulations. 2020; ():190-204.
Chicago/Turabian StyleSlavenko M. Stojadinović; Vidosav Majstorovic; Dragan Djurdjanović; Srdjan Živković. 2020. "An Approach of Development Smart Manufacturing Metrology Model as Support Industry 4.0." Recent Advances in Computational Mechanics and Simulations , no. : 190-204.
The purpose of this paper is to develop an integrated risk management model for standardized management systems: ISO 9001:2015 for quality management, ISO 14001:2015 for environmental management, ISO/IEC 27001:2013 for information...
Nuri Mohamed Saad Algheriani; Vidosav Majstorovic; Snezana Kirin; Vesna Spasojevic Brkic. Risk Model for Integrated Management System. Tehnicki vjesnik - Technical Gazette 2019, 26, 1833 -1840.
AMA StyleNuri Mohamed Saad Algheriani, Vidosav Majstorovic, Snezana Kirin, Vesna Spasojevic Brkic. Risk Model for Integrated Management System. Tehnicki vjesnik - Technical Gazette. 2019; 26 (6):1833-1840.
Chicago/Turabian StyleNuri Mohamed Saad Algheriani; Vidosav Majstorovic; Snezana Kirin; Vesna Spasojevic Brkic. 2019. "Risk Model for Integrated Management System." Tehnicki vjesnik - Technical Gazette 26, no. 6: 1833-1840.
It became more than evident that the era of Industry 4.0 is upon us, where industrial manufacturing companies are facing strong demand to increase their productivity and profitability by realizing or upgrading to smart factories and resource-efficient manufacturing processes. Having this in mind the aim of this paper is to provide insight regarding best practices in implementing Industry 4.0 concepts and their implications on manufacturing energy and environmental management systems and overall manufacturing energy efficiency. Our analysis used the Serbian dataset from the European Manufacturing Survey conducted in 2018. Furthermore, non-parametric correlation (Spearman’s) analysis of the introduction of technologies on the one hand and EN ISO 50001 and EN ISO 14001 on the other was carried out. Results indicated significant correlation among Industry 4.0 concepts and both manufacturing energy and environmental management systems.
Milovan Medojevic; Nenad Medic; Ugljesa Marjanovic; Bojan Lalic; Vidosav Majstorovic. Exploring the Impact of Industry 4.0 Concepts on Energy and Environmental Management Systems: Evidence from Serbian Manufacturing Companies. Security Education and Critical Infrastructures 2019, 355 -362.
AMA StyleMilovan Medojevic, Nenad Medic, Ugljesa Marjanovic, Bojan Lalic, Vidosav Majstorovic. Exploring the Impact of Industry 4.0 Concepts on Energy and Environmental Management Systems: Evidence from Serbian Manufacturing Companies. Security Education and Critical Infrastructures. 2019; ():355-362.
Chicago/Turabian StyleMilovan Medojevic; Nenad Medic; Ugljesa Marjanovic; Bojan Lalic; Vidosav Majstorovic. 2019. "Exploring the Impact of Industry 4.0 Concepts on Energy and Environmental Management Systems: Evidence from Serbian Manufacturing Companies." Security Education and Critical Infrastructures , no. : 355-362.
Vidosav D. Majstorovic. Cloud-based cyber-physical systems in manufacturing. Production Planning & Control 2019, 31, 611 -612.
AMA StyleVidosav D. Majstorovic. Cloud-based cyber-physical systems in manufacturing. Production Planning & Control. 2019; 31 (7):611-612.
Chicago/Turabian StyleVidosav D. Majstorovic. 2019. "Cloud-based cyber-physical systems in manufacturing." Production Planning & Control 31, no. 7: 611-612.
Živorad Belić; Vidosav Majstorovic; Dragan Đurđanović; Snežana Kirin. Data Driven Root Cause Analyses in Multistage Manufacturing Utilising Life Cycle Wide Product Information. Tehnicki vjesnik - Technical Gazette 2019, 26, 920 -926.
AMA StyleŽivorad Belić, Vidosav Majstorovic, Dragan Đurđanović, Snežana Kirin. Data Driven Root Cause Analyses in Multistage Manufacturing Utilising Life Cycle Wide Product Information. Tehnicki vjesnik - Technical Gazette. 2019; 26 (4):920-926.
Chicago/Turabian StyleŽivorad Belić; Vidosav Majstorovic; Dragan Đurđanović; Snežana Kirin. 2019. "Data Driven Root Cause Analyses in Multistage Manufacturing Utilising Life Cycle Wide Product Information." Tehnicki vjesnik - Technical Gazette 26, no. 4: 920-926.
The framework for Cyber-Physical Manufacturing Metrology Model (CPM3), are based on integration of digital product metrology information through metrology features recognition, and generation of global/local inspection plan for CMM. As the identification and compensation for errors of the machine tools could significantly enhance their accuracy and thus improve the quality of parts produced with them, proposed Cyber- Physical Manufacturing Metrology Model (CPM3) includes the error identification and compensation as well. An efficient methodology to calibrate machine tool geometric errors is given herein. This paper will present recent results of our research on building of (Industrial) Internet of Things ((I)IoT) for CPM3, in application layer. The main function of application layer is to integrate the methodologies and functions of the system to achieve IoT-enabled industrial applications.
Vidosav Majstorovic; Srdjan Zivkovic; Dragan Djurdjanovic; Ramin Sabbagh; Vladimir Kvrgic; Nemanja Gligorijevic. Building of Internet of Things Model for Cyber-Physical Manufacturing Metrology Model (CPM3). Procedia CIRP 2019, 81, 862 -867.
AMA StyleVidosav Majstorovic, Srdjan Zivkovic, Dragan Djurdjanovic, Ramin Sabbagh, Vladimir Kvrgic, Nemanja Gligorijevic. Building of Internet of Things Model for Cyber-Physical Manufacturing Metrology Model (CPM3). Procedia CIRP. 2019; 81 ():862-867.
Chicago/Turabian StyleVidosav Majstorovic; Srdjan Zivkovic; Dragan Djurdjanovic; Ramin Sabbagh; Vladimir Kvrgic; Nemanja Gligorijevic. 2019. "Building of Internet of Things Model for Cyber-Physical Manufacturing Metrology Model (CPM3)." Procedia CIRP 81, no. : 862-867.
The Cyber-Physical Manufacturing Metrology Systems (CPM2Ss) are based on integration of the Cyber Physical Systems (CPSs) and connection between Internet of Things (IoTs) and Cloud technology (CT). These are high-level methodologies for development of new generation manufacturing metrology systems, which are more intelligent, flexible and self-adaptable. CPM2Ss generates Big Data, horizontally by integration (network of machines/CMMs, processes and sensors) and vertically by control (usually defined over five levels) which should be analytically processed and managed by the Cyber-Physical Manufacturing Metrology (CPM2). In this paper was given, a detailed analysis of the current framework of development the Industry 4.0 model, with a special place and role of CPM2 in current model. A brief overview of the concept CPM2 research, particularly in Serbia is given as well.
Vidosav D. Majstorovic; Numan Durakbasa; Yasuhiro Takaya; Slavenko Stojadinovic. Advanced Manufacturing Metrology in Context of Industry 4.0 Model. Recent Advances in Computational Mechanics and Simulations 2019, 1 -11.
AMA StyleVidosav D. Majstorovic, Numan Durakbasa, Yasuhiro Takaya, Slavenko Stojadinovic. Advanced Manufacturing Metrology in Context of Industry 4.0 Model. Recent Advances in Computational Mechanics and Simulations. 2019; ():1-11.
Chicago/Turabian StyleVidosav D. Majstorovic; Numan Durakbasa; Yasuhiro Takaya; Slavenko Stojadinovic. 2019. "Advanced Manufacturing Metrology in Context of Industry 4.0 Model." Recent Advances in Computational Mechanics and Simulations , no. : 1-11.
This paper is a development of the study of hardness of workpiece surface layer, case of C45 steel orthogonal cutting, as function of cutting regime parameters and forces and geometry of the cutting tool [1]. The size of the experimental data imposed an extended use of computer assisted statistical applications. The influence of cutting parameters and radius of the cutting tool on hartness was modeled with all variables and their interactions, seven factors, based on a multivariate regression function. The model with three factors was a sinthetic application for this dependence and we established that the mainly influence on hardness is due to the factor radius of tool, which explained reliability. The dependence of hardness from cutting forces, modeled with a bivariate copula, proved a strong dependence of the variable HV.
Adrian Stere Paris; Constantin Tarcolea; Sorin-Mihai Croitoru; Vidosav Majstorovic. Statistical Study of Parameters in the Process of Orthogonal Cutting Surface Hardness. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) 2019, 68 -77.
AMA StyleAdrian Stere Paris, Constantin Tarcolea, Sorin-Mihai Croitoru, Vidosav Majstorovic. Statistical Study of Parameters in the Process of Orthogonal Cutting Surface Hardness. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). 2019; ():68-77.
Chicago/Turabian StyleAdrian Stere Paris; Constantin Tarcolea; Sorin-Mihai Croitoru; Vidosav Majstorovic. 2019. "Statistical Study of Parameters in the Process of Orthogonal Cutting Surface Hardness." Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) , no. : 68-77.
Since 2011, when Industry 4.0 has entered the scene, national programs for its development and application in national industries have been launched around the world. In the meantime, this Program has begun to develop in different countries, until now thirty seven worldwide. Industry 4.0 is Program initiated by German Government and industry as a new model of automatization of manufacturing technologies. Cyber-Physical System (CPS) is the key element of Industry 4.0. In this paper, a detailed analysis of the current level of development of the Industry 4.0 program has been made in globe. Also, overview of the Industry 4.0 program in Serbia is given as well.
Vidosav D. Majstorovic; Radivoje Mitrovic. Industry 4.0 Programs Worldwide. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) 2019, 78 -99.
AMA StyleVidosav D. Majstorovic, Radivoje Mitrovic. Industry 4.0 Programs Worldwide. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). 2019; ():78-99.
Chicago/Turabian StyleVidosav D. Majstorovic; Radivoje Mitrovic. 2019. "Industry 4.0 Programs Worldwide." Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) , no. : 78-99.
This paper presents a novel method that utilizes in-process measurements of product quality and models that relate those measurements with the underlying manufacturing process parameters to drive down the product quality errors via strategic adjustments of the controllable process parameters. Uniqueness of the new method is its robustness to inevitable inaccuracies in the underlying models, as well as the absence of traditional, but restrictive assumptions of Gaussianity and independence of measurement and process noise terms. The new approach was demonstrated using models and data from an automotive cylinder head machining process and an industrial-scale semiconductor lithography overlay process.
Dragan Djurdjanović; Asad Ul Haq; Maria Chiara Magnanini; Vidosav Majstorovic. Robust model-based control of multistage manufacturing processes. CIRP Annals 2019, 68, 479 -482.
AMA StyleDragan Djurdjanović, Asad Ul Haq, Maria Chiara Magnanini, Vidosav Majstorovic. Robust model-based control of multistage manufacturing processes. CIRP Annals. 2019; 68 (1):479-482.
Chicago/Turabian StyleDragan Djurdjanović; Asad Ul Haq; Maria Chiara Magnanini; Vidosav Majstorovic. 2019. "Robust model-based control of multistage manufacturing processes." CIRP Annals 68, no. 1: 479-482.
This book introduces a new generation of metrological systems and their application in a digital quality concept. It discusses the development of an optimal collision-free measuring path based on CAD geometry and tolerances defined in knowledge base and AI techniques such as engineering ontology, ACO and GA. This new approach, combining both geometric and metrological features, allows the following benefits: reduction of a preparation time based on the automatic generation of a measuring protocol; developed mathematical model for the distribution of measuring points and collision avoidance; the optimization of a measuring probe path; the analysis of a part placement based on the accessibility analysis and automatic configuration of measuring probes. The application of this new system is particularly useful in the inspection of complex prismatic parts with a large number of tolerances, in all of type production. The implementation is demonstrated using several case studies relating to high-tech industries and advanced, non-conventional processes.
Slavenko M. Stojadinović; Vidosav D. Majstorović. An Intelligent Inspection Planning System for Prismatic Parts on CMMs. An Intelligent Inspection Planning System for Prismatic Parts on CMMs 2019, 1 .
AMA StyleSlavenko M. Stojadinović, Vidosav D. Majstorović. An Intelligent Inspection Planning System for Prismatic Parts on CMMs. An Intelligent Inspection Planning System for Prismatic Parts on CMMs. 2019; ():1.
Chicago/Turabian StyleSlavenko M. Stojadinović; Vidosav D. Majstorović. 2019. "An Intelligent Inspection Planning System for Prismatic Parts on CMMs." An Intelligent Inspection Planning System for Prismatic Parts on CMMs , no. : 1.
The article deals with study of cutting performance and its impact on durability of cutting tool in a short-term alternate turning test. The short-time test was carried out at discontinuous machining to increase an intensity of tool wear and to reduce the time of the test. Two types of workpieces in shape of circular segments with angles of 45° and 180° were prepared from material DIN 17200 that correspond to the STN 41 1373 (11 373) steel. Cutting plates, type of SPUN 120504, from the 19 830 steels with the tool holder type of CSSPR 2525 M12 KT 716 were used at the machining. The tests were realized based on the standard ISO 3685 without cutting fluid. The process of machining and tool wear was evaluated from the energy point of view. The machine input power was measured by means of measuring equipment UNI-T UT232. The results were statistically processed. Based on the results it can be said that the durability of tools at the machining the 45° segment was higher. Also, the hypothesis considering that the work of cutting wedge is constant during machining up to the achievement of critical tool has not been confirmed.
Peter Pastucha; Vidosav Majstorovic; Marián Kučera; Pavel Beno; Srecko Krile. Study of Cutting Tool Durability at a Short-Term Discontinuous Turning Test. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) 2018, 493 -501.
AMA StylePeter Pastucha, Vidosav Majstorovic, Marián Kučera, Pavel Beno, Srecko Krile. Study of Cutting Tool Durability at a Short-Term Discontinuous Turning Test. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). 2018; ():493-501.
Chicago/Turabian StylePeter Pastucha; Vidosav Majstorovic; Marián Kučera; Pavel Beno; Srecko Krile. 2018. "Study of Cutting Tool Durability at a Short-Term Discontinuous Turning Test." Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) , no. : 493-501.
The paper presents the reverse engineering procedure for the reconstruction of the turbine blades for small hydropower plants. The scaled turbine model of Iron Gate I Hydroelectric Power Station on the Danube river has been used for decades under the same exploitation conditions as a large turbine, to simulate the condition of large blades based on the similarity of physical phenomena. The blades of the scaled model have been selected for the small hydroelectric power plant project. Since the scaled turbine model was manufactured in the early 70’s, the CAD model is not available. The blade in best condition was scanned using an optical scanner. Starting from the STL model, the surface of the blade was redesigned, so that all damages and deformations were corrected.
Srdjan Zivkovic; Luka Cerce; Julija Kostic; Vidosav Majstorovic; Davorin Kramar. Reverse Engineering of Turbine Blades Kaplan’s type for Small Hydroelectric Power Station. Procedia CIRP 2018, 75, 379 -384.
AMA StyleSrdjan Zivkovic, Luka Cerce, Julija Kostic, Vidosav Majstorovic, Davorin Kramar. Reverse Engineering of Turbine Blades Kaplan’s type for Small Hydroelectric Power Station. Procedia CIRP. 2018; 75 ():379-384.
Chicago/Turabian StyleSrdjan Zivkovic; Luka Cerce; Julija Kostic; Vidosav Majstorovic; Davorin Kramar. 2018. "Reverse Engineering of Turbine Blades Kaplan’s type for Small Hydroelectric Power Station." Procedia CIRP 75, no. : 379-384.
The process of creating value by adding services to product offerings, or servitization, has flourished in recent years. Manufacturing companies increasingly produce and provide services along with or instead of their traditional physical products. The provision of product-related services in emerging economies has been neglected and can tremendously improve understanding of service growth, especially in the field of billing. The aim of this study is to examine is it worthwhile for the manufacturing companies in transition countries to offer product-related services and what strategy should they pursue to build service business model. Our analysis used the Croatian, Serbian and Slovenian dataset from the European Manufacturing Survey conducted in 2015. Empirical results revealed that in manufacturing companies in transition countries product-related services can significantly increase share of revenue. Results indicate that management in manufacturing companies should directly invoice software development and revamping, and indirectly installation, and design, as product-related service to maximize firm’s turnover and create a service business model.
Ugljesa Marjanovic; Bojan Lalic; Vidosav Majstorovic; Nenad Medic; Jasna Prester; Iztok Palcic. How to Increase Share of Product-Related Services in Revenue? Strategy Towards Servitization. ICT Systems Security and Privacy Protection 2018, 57 -64.
AMA StyleUgljesa Marjanovic, Bojan Lalic, Vidosav Majstorovic, Nenad Medic, Jasna Prester, Iztok Palcic. How to Increase Share of Product-Related Services in Revenue? Strategy Towards Servitization. ICT Systems Security and Privacy Protection. 2018; ():57-64.
Chicago/Turabian StyleUgljesa Marjanovic; Bojan Lalic; Vidosav Majstorovic; Nenad Medic; Jasna Prester; Iztok Palcic. 2018. "How to Increase Share of Product-Related Services in Revenue? Strategy Towards Servitization." ICT Systems Security and Privacy Protection , no. : 57-64.
Abuajila Raweni; Vidosav Majstorovic; Aleksandar Sedmak; Srdjan Tadić; Snežana Kirin. Optimization of AA5083 Friction Stir Welding Parameters Using Taguchi Method. Tehnicki vjesnik - Technical Gazette 2018, 25, 861 -866.
AMA StyleAbuajila Raweni, Vidosav Majstorovic, Aleksandar Sedmak, Srdjan Tadić, Snežana Kirin. Optimization of AA5083 Friction Stir Welding Parameters Using Taguchi Method. Tehnicki vjesnik - Technical Gazette. 2018; 25 (3):861-866.
Chicago/Turabian StyleAbuajila Raweni; Vidosav Majstorovic; Aleksandar Sedmak; Srdjan Tadić; Snežana Kirin. 2018. "Optimization of AA5083 Friction Stir Welding Parameters Using Taguchi Method." Tehnicki vjesnik - Technical Gazette 25, no. 3: 861-866.