Tomov, Mite

Preferred name
Tomov, Mite
Official Name
Tomov, Mite
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Email
mite.tomov@mf.edu.mk

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    Understanding and application of quality costs in automotive manufacturing companies in North Macedonia: empirical study
    (Emerald, 2022-11-04)
    Velkoska, Cvetanka
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    <jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>This study aims at presenting deeper insights regarding the understanding and application of the quality costs (CoQ) in the automotive manufacturing industry. The empirical research included three general determinants: reasons for, difficulties during and benefits from implementing quality costs, as well as two specific determinants: measuring and evaluating quality cost elements.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>The empirical research methodology employs the expert evaluation method – the Delphi method, using a survey questionnaire comprising a total of 200 questions, and answered by 9 companies.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>The survey results showed that companies do recognize the reasons for implementing quality costs as a need arising from the quality management standards, the lack of knowledge of quality costs by employees and management as the biggest difficulty while the biggest benefit includes the quality costs enhance the company competitiveness. The costs competence and qualification, the quality management system costs, the costs for improvement, the production control costs, the input control costs, the new measuring and control equipment calibration costs, the costs related to scrap, repairs and product finishing are the most significant elements of the quality costs.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Research limitations/implications</jats:title><jats:p>This study is limited by the small number of surveyed companies from the automotive cluster.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Practical implications</jats:title><jats:p>The proposed quality costs model provides to the management to conceive CoQ elements as possible drivers in the improvement process of product quality. The structure and the nature of the CoQ elements is expected to advance the process of detailing the quality costs elements.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>The novelty of this paper refers to development of a generic quality cost model, whose relevance is confirmed by the structuring of the model with elements published in literature and validating in research companies.</jats:p></jats:sec>
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    Modeling and prediction of surface roughness profile in longitudinal turning
    (Elsevier BV, 2016-10)
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    Cichosz, Piotr
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    Mathematical Modeling of the Bearing Ratio Curve Rmr (50% Rz), through Investigation of the Effect of Process Parameters in Hard Turning of Steel C55 (DIN) with Mixed Ceramics MC2 (Al2O3 + TiC)
    (Hindawi Limited, 2024-02-20)
    Shabani, Mevludin
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    <jats:p>The subject of modeling and predicting roughness parameters in hard machining has been discussed in many literature sources. However, most of these sources cover only the amplitude parameters such as Ra and Rz, leaving it unexplored to the right extent compared to its importance the roughness parameter bearing ratio curve (the Abbott–Firestone curve) which is essential in understanding the actual contact area of mating surfaces. To bridge this gap, this research has developed a mathematical model using the design of experiments method through investigation of the effect of process parameters in hard turning of Steel C55 (DIN) with mixed ceramics MC2 (Al2O3 + TiC). The model predicts the bearing ratio curve parameter Rmr (50% Rz), statistically processed using CADEX and Matlab. The research includes the ANOVA as a complementary tool in validating the generated mathematical model. The research analyzes the effects of material properties, cutting forces, and tool geometry as factors that affect the machining process. Additionally, it emphasizes the robustness of hard turning in consistently producing waviness patterns. Overall, this research provides valuable insights into the predictable effects of parameters on machined surfaces, which contributes to a better understanding of surface finish in metalworking.</jats:p>
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    A New Parameter of Statistic Equality of Sampling Lengths in Surface Roughness Measurement
    (Faculty of Mechanical Engineering, 2013-05-15)
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    Cichosz, Piotr
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    THEORETICAL ASPECTS RELATED TO THE CREATION OF ALGORITHM FOR QUALITY COSTS MEASUREMENT SYSTEM
    (Faculty of Technical Sciences, 2018-12)
    Velkoska, Cvetanka
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    Rounding off of machine-cutting blades made of sintered carbides
    (SIMP Redakcja Mechanik - Agenda Wydawnicza SIMP, 2018-07-09)
    Cichosz, Piotr
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    Urych, Adam
    <jats:p>The paper describes the origins of edge rounding of machine-cutting blades made of sintered carbides. Various processing machines and abrasive materials used to smoothen the cutting edges are presented. Various methods of measurement of the edge radius are compared. Stressed are the possibilities of improvement of tool durability through the use of new finishing process technologies for tool working surfaces.</jats:p>
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    Mathematical Modelling of Core Roughness Depth During Hard Turning
    (Springer International Publishing, 2020)
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    Karolczak, Pawel
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    Skowronek, Hubert
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    Cichosz, Piotr
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    Impact of smoothing conditions on the rounding effect of cutting edges of cemented carbide machining blades
    (SIMP Redakcja Mechanik - Agenda Wydawnicza SIMP, 2018-10-08)
    Baczyński, Szymon
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    Cichosz, Piotr
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    Urych, Adam
    <jats:p>The origin of rounding cutting edges of machining blades made out of cemented carbides is presented. Various methods of cutting edge smoothing and rounding measurement are described. The impact of smoothing conditions on the intensity and effects of edge rounding is specified.</jats:p>
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    Statistical analysis and machine learning-based modelling of kerf width in CO2 laser cutting of PMMA
    (Jan Evangelista Purkyne University in Usti nad Labem, 2024-12-21)
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    Kusigerski, Boban
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    Engineering polymers like PMMA have increasingly replaced traditional materials where feasible, with CO2 laser cutting gaining attention for its high quality and speed in processing these materials. Precise cuts are essential for product accuracy, with kerf width being a key quality attribute for ensuring the final product's quality. This study focuses on the impact of three process variables: stand-off distance, laser power, and cutting speed, on the kerf width in CO2 laser cutting of PMMA. A full-factorial experiment systematically varies process parameters to understand their individual and interaction effects on the cutting process. The kerf width is measured as an indicator of precision to evaluate the quality of the laser cuts. In order to address the non-linear relationships between these process parameters and kerf width, several machine learning models were utilized. Performance comparisons indicated that the Artificial Neural Network (ANN) model provided the highest accuracy, with R² values of 0.98 for the validation dataset and 0.95 for the testing dataset. The optimized ANN model is a robust tool for parameter optimization, determining optimal settings to achieve the desired kerf width and ensure productivity.
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    BRIDGING THE GAP: QUALITATIVE COMPARATIVE ANALYSIS OF INDUSTRY 4.0 AND INDUSTRY 5.0
    (University Ss. Cyril and Methodius in Skopje, 2024)
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    Kusigerski, Boban
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    The fourth industrial revolution comes with a lot of promises for the future of effective and efficient manufacturing. However, in the light of the rapid change of the technology, smart manufacturing is undergoing transformation driven by two distinct paradigms: Industry 4.0 advocates for the shift to-wards digitization and automation, while the emerging Industry 5.0 prioritizes human-centric approaches. Currently, there is a need to consider sustainable development and the crucial role of humans in the assumptions of industry’s future development. Concerns about the implementation of digital technologies became the basis for building the assumptions of Industry 5.0. This article will present a comparative qualitative compassion between Industry 4.0 and Industry 5.0 in order to precisely characterize both concepts.