Publications Repository - Gdańsk University of Technology

Page settings

polski
Publications Repository
Gdańsk University of Technology

Show publications from the year

Publications from the year 2022

Show all
  • Opracowanie deskryptora nawierzchni drogowej do oceny oporu toczenia opon samochodowych
    • Sławomir Sommer
    2022 Full text

    Na początku niniejszej pracy pt. „Opracowanie deskryptora nawierzchni drogowej do oceny oporu toczenia opon samochodowych” przedstawiono zagadnienia dotyczące oporów ruchu pojazdu. Omówiono metody zarówno drogowe, jak i laboratoryjne badań oporu toczenia opon samochodowych. Zaprezentowano przykładowe wartości współczynników oporu toczenia opon na różnych rodzajach nawierzchni. Kolejno omówiono metody pomiaru tekstury nawierzchni. W dalszej części przedstawiono obowiązującą procedurę określania średniej głębokości profilu (Mean Profile Depth- MPD) wykonywaną zgodnie z normą ISO 13473-1. Przedstawiono wpływ tekstury nawierzchni na opór toczenia opon samochodowych. W pracy doktorskiej wykazano, że parametr MPD źle koreluje się ze współczynnikiem oporu toczenia opon. W celu przeprowadzenia analiz tekstur nawierzchni opracowano autorskie stanowiska badawcze: do pomiaru profilu tekstur nawierzchni oraz wykonanych na nich odcisków opon, a także do pomiaru sztywności dynamicznej bieżnika opony w warunkach penetracji przez elementy tekstury nawierzchni. Przeanalizowano szereg parametrów geometrycznych związanych z teksturą nawierzchni w aspekcie oporu toczenia. W efekcie opracowano parametr Descriptor of Pavament Texture (DPT50), który lepiej niż MPD koreluje się z oporem toczenia. W dalszej części przedstawiono model matematyczny opisujący ten parametr. W wyniku przeprowadzonych analiz opracowano wzorcową nawierzchnię, która ma posłużyć do prowadzenia normatywnych badań opon w warunkach laboratoryjnych. Na zakończenie pracy przedstawiono autorską technologię wytwarzania replik nawierzchni rzeczywistych, jak i wzorcowych przeznaczonych do pokrywania stalowych bębnów maszyn bieżnych.

  • Opracowanie technologii naprawy nieciągłości metalicznych w połączeniach spawanych, w konstrukcji podpór przednich pras filtracyjnych położonych na terenie Grupowej Oczyszczalni Ścieków Dębogórze
    • Wojciech Kiełczyński
    • Kamil Wilk
    • Maciej Kiełczyński
    2022

    Celem niniejszej pracy jest opracowanie wytycznych technologicznych, których wdrożenie pozwoli na usunięcie istniejących pęknięć, co przyczyni się do stabilizacji wymiarowej podpór oraz całej konstrukcji pras. Osiągniecie tego celu wymaga podjęcia następujących działań: - ocenę stanu technicznego naprawianego komponentu- podpór przednich trzech pras filtracyjnych, - określenie własności spawalniczych materiału naprawianego, - określenie warunków eksploatacji i wymogów dotyczących spawania, - zdeterminowanie norm i przepisów dedykowanych naprawianej konstrukcji, - opracowania zaleceń i wytycznych do opisu procedur spawalniczych, - kwalifikacji procedur – czyli oceny jakości spoin próbnych, - opracowanie procedur kontroli jakości na poszczególnych etapach realizacji naprawy, - sporządzenie dokumentacji końcowej.

  • Optimal placement of IMU sensor for the detection of children activity
    • Magdalena Madej
    • Jacek Rumiński
    2022

    In this paper an investigation to determine the optimal placement of IMU sensors for the purpose of children characteristic activity detection is presented. The article compares four different placement of two IMU sensors on human body. Ten healthy volunteers participated within the study. Data were collected firstly from two wireless 9-axial IMU sensors placed at the left and right wrists, then sensors were placed at lower back and hip (dominant hand side). Activities included jumping, rotating, walking, walking on tiptoe, running, clapping hands, standing still, sitting still and dancing. Several parameters such as mean, standard deviation, skewness, kurtosis, energy, correlations, Hjorth parameters (activity, mobility and complexity) and spectra purity index, were calculated from measured data. Data from all locations provided similar levels of accuracy in differentiate analyzed activities.

  • Optimal reshaping and stress controlling of double-layer spherical structures under vertical loadings
    • Ahmed Manguri
    • Najmadeen Saeed
    • Aram Mahmood
    • Javad Katebi
    • Robert Jankowski
    2022 Full text Archives of Civil Engineering

    Optimal reshaping and stress controlling of double-layer spherical structures under vertical loadings

  • Optimal state feedback controller for balancing cube
    • Adam Kowalczyk
    • Robert Piotrowski
    2022 Full text Journal of Automation, Mobile Robotics and Intelligent Systems - JAMRIS

    In this paper, a nonlinear balancing cube system is considered, the concept for which is based on an inverted pendulum. The main purpose of this work was the modelling and construction of a balancing cube with the synthesis of the control system. The control objectives included swing-up and stabilization of the cube on its vertex at an unstable equilibrium. Execution of the intended purpose required, first, deriving a cognitive mathematical model. It was based on the Lagrange method. Next, a mathematical model for control purposes was derived. The project of the physical model of the balancing cube was presented. A stabilization system based on a linear quadratic regulator (LQR) was developed. Moreover, a swing-up mechanism was used to bring the cube close to the upper equilibrium point. The algorithm switching condition was important to enable the correct functioning of the system. The developed control system was verified in the Matlab environment. Finally, verifying experiments and comparisons among models (mathematical and physical) were performed.

  • Optimally regularized local basis function approach to identification of time-varying systems
    • Maciej Niedźwiecki
    • Artur Gańcza
    2022

    Accurate identification of stochastic systems with fast-varying parameters is a challenging task which cannot be accomplished using model-free estimation methods, such as weighted least squares, which assume only that system coefficients can be regarded as locally constant. The current state of the art solutions are based on the assumption that system parameters can be locally approximated by a linear combination of appropriately chosen basis functions. The paper shows that when the internal correlation structure of estimated parameters is known, the tracking performance of the local basis function estimation algorithms can be further improved by means of regularization. The optimal form of the regularization matrix is derived analytically and it is shown that the best settings of the regularized algorithm can be determined in the computationally efficient way using cross-validation.

  • Optimization of biocorrosion resistance and mechanical properties of PM Ti–XAl–2Fe–3Cu alloys by response surface methodology
    • Mojtaba Najafizadeh
    • Mehran Ghasempour-Mouziraji
    • Morteza Hosseinzadeh
    • Sahar Yazdi
    • Ahmadreza Sarrafan
    • Mansoor Bozorg
    • Pasquale Cavaliere
    • Aleksandra Laska
    • Marek Szkodo
    2022 Full text JOURNAL OF MATERIALS SCIENCE

    In the current study, the biocorrosion resistance and mechanical properties of the Ti–XAl–2Fe–3Cu (wt%) (X = 6, 4, 2 wt%) alloy produced by powder compact extrusion of blended elemental powders were optimized by using the response surface methodology in order to gain the best combination of processing parameters. To run the optimization process, central composite design with three equal levels of oxygen, hydrogen and aluminum was used and, by employing ANOVA, the analysis of variance was implemented. The results showed that the content of aluminum has a significant effect on the microstructure, mechanical properties, biocorrosion resistance and fracture behavior of the extruded rods. The highest aluminum content corresponds to the highest alloy strength and biocorrosion resistance. This was due to the reduction of the lamella thickness and of the material colonies as the aluminum content increases. Also, by running the experimental and optimization tests, the mechanical properties resulted 1245 MPa in yield strength and 1340 MPa in ultimate tensile strength with 0.1 lAcm-2 in corrosion current.

  • Optimization-Based High-Frequency Circuit Miniaturization through Implicit and Explicit Constraint Handling: Recent Advances
    • Anna Pietrenko-Dąbrowska
    • Sławomir Kozieł
    • Marzieh Mahrokh
    2022 Full text ENERGIES

    Miniaturization trends in high-frequency electronics have led to accommodation challenges in the integration of the corresponding components. Size reduction thereof has become a practical necessity. At the same time, the increasing performance demands imposed on electronic systems remain in conflict with component miniaturization. On the practical side, the challenges related to handling design constraints are aggravated by the high cost of system evaluation, normally requiring full-wave electromagnetic (EM) analysis. Some of these issues can be alleviated by implicit constraint handling using the penalty function approach. Yet, its performance depends on the arrangement of the penalty factors, necessitating a costly trial-and-error procedure to identify their optimum setup. A workaround is offered by the recently proposed algorithms with automatic adaptation of the penalty factors using different adjustment schemes. However, these intricate strategies require a continuous problem-dependent adaptation of the penalty function throughout the entire optimization process. Alternative methodologies have been proposed by taking an explicit approach to handle the inequality constraints, along with correc-tion-based control over equality conditions, combination of which proves to be demonstrably competitive for some miniaturization tasks. Nevertheless, optimization-based miniaturization, whether using implicit or explicit constraint handling, remains a computationally expensive task. A reliable way of reducing the aforementioned costs is the incorporation of mul-ti-resolution EM fidelity models into the miniaturization procedure. Therein, the principal op-eration is based on a simultaneous monitoring of factors such as quality of the constraint satis-faction, as well as algorithm convergence status. This paper provides an overview of the abovementioned size-reduction algorithms, in which theoretical considerations are illustrated using a number of antenna and microwave circuit case studies.

  • Optimization-Based Robustness Enhancement of Compact Microwave Component Designs with Response Feature Regression Surrogates
    • Anna Pietrenko-Dąbrowska
    • Julia Kozieł
    2022 Full text KNOWLEDGE-BASED SYSTEMS

    The ability to evaluate the effects of fabrication tolerances and other types of uncertainties is a critical part of microwave design process. Improving the immunity of the device to parameter deviations is equally important, especially when the performance specifications are stringent and can barely be met even assuming a perfect manufacturing process. In the case of modern miniaturized microwave components of complex topologies, it is of paramount importance to carry out tolerance-aware design at the highest available accuracy level (i.e., with the use of full-wave electromagnetic (EM) simulations). Although reliable, EM-driven tolerance-aware design is extremely costly if conventional techniques are to be applied (e.g., Monte Carlo simulation). To overcome this setback, this paper proposes a simple and computationally efficient algorithm for robustness enhancement of compact microwave component designs. The objective is to increase the allowed deviations of geometry parameter values (described using the coefficients of an underlying probability distributions, e.g., the variance) so that the prescribed performance specifications are still fulfilled. The presented approach incorporates knowledge-based surrogate models, constructed using the characteristic points (response features) of EM-simulated system outputs, and utilized for low-cost prediction of the fabrication yield. The parameter vector of the microwave circuit of interest is adjusted within the trust-region (TR) framework to identify the maximum levels of deviations still ensuring 100-percent yield. The employment of TR also permits the adaptive control of design relocation and ensures convergence of the optimization process. Numerical verification of the presented methodology is carried out using three miniaturized microstrip circuits, including two equal-split couplers and a wideband filter. The major finding is that incorporating knowledge-based feature surrogates allows for achieving a significant improvement of the acceptable input tolerance levels (nearly two fold on the average) at a remarkably low cost of few dozen EM simulations.

  • Optimized Stress and Geometry Control of Spherical structures under Lateral Loadings
    • Aram Mahmood
    • Javad Katebi
    • Najmadeen Saeed
    • Ahmed Manguri
    2022

    In this paper, a numerical model of a double-layer spherical structure has been examined under lateral loadings. When the structure has been distorted due to loadings, the dislocated joints have been moved to their original positions utilizing the adjustment techniques based on the force method. Meanwhile, the members’ internal forces were kept in the desired domain. Optimization techniques were also implemented in order to minimalize the amount of actuation and the number of actuators to reduce the cost of the controlling process. The results of the work confirm that the adjustment and optimization techniques can be easily applied to spherical structures to control their shape and stress in members. The optimization and actuation were obtained from MATLAB and the results were verified by SAP2000.

  • Optymalizacja procesów biologicznych w oczyszczalni ścieków typu SBR
    • Robert Piotrowski
    2022

    Obiektem zainteresowania jest biologiczna, sekwencyjna oczyszczalnia ścieków (Sequ-encing Batch Reactor – SBR). Jest to złożony system sterowania z powodu nieliniowej dyna-miki, niepewności, wielu skal czasu, wielowymiarowości i braku wystarczającej liczby pomia-rów. Warunkiem koniecznym zachodzenia większości procesów biologicznych jest dostar-czenie bakteriom oczyszczającym ścieki, odpowiedniej ilości tlenu, za pomocą instalacji na-powietrzającej. Napowietrzanie spełnia bardzo ważną rolę w oczyszczalni ścieków. Powietrze dostarczane do oczyszczalni ścieków z jednej strony służy jako pokarm dla bakterii oczyszcza-jących ścieki, z drugiej strony pomaga w procesach mieszania ścieków. Koszty napowietrzania są wysokie i stanowią główny składnik kosztów operacyjnych w oczyszczalni ścieków, dlate-go bardzo ważne jest ich zmniejszanie, z jednoczesną poprawą jakości oczyszczania ścieków. W zakresie sterowania, w praktyce eksploatacyjnej oczyszczalni ścieków w dalszym cią-gu stosuje się proste algorytmy sterowania stężeniem tlenu oparte na regułach i regulatorach typu PI ze stałymi wartościami nastaw. Ze względu na złożoność problemu sterowania i różne punkty pracy są one niewystarczające. Wynika to z faktu, iż zapotrzebowanie na tlen, a tym samym na ilość powietrza dostarczanego przez instalację napowietrzającą, jest zmienne w cza-sie. W monografii zaprojektowano dwa nowoczesne, zaawansowanwane algorytmy stero-wania stężeniem tlenu: adaptacyjnego z nadrzędnym regulatorem regułowym i adaptacyjnego z nadrzędnym regulatorem heurystycznym. Układy regulacji oparto o pomiary stężenia tlenu, azotu amonowego i azotanów. Następnie zaproponowano i rozwiązano trzy zadania optymali-zacji procesów biologicznych. Przeprowadzono analizę symulacyjną efektywności zapropo-nowanych struktur i algorytmów optymalizacji dla różnych warunków obciążeń oczyszczalni ścieków w Swarzewie. Zaproponowane rozwiązania przyniosły znaczącą poprawę efektywno-ści oczyszczania ścieków, z równoczesną redukcją kosztów operacyjnych pracy tego złożone-go systemu przemysłowego.

  • Optymalizacja procesów prefabrykacyjnych przyszłością branży budowlanej
    • Rafał Ziółkowski
    • Marzena Kurpińska
    2022 Full text Materiały Budowlane

    Intensywny rozwój technologiczny w zakładach prefabrykacji będzie miał wpływ na: krótszy czas wznoszenia obiektów; lepszą jakość końcową obiektów uzyskiwaną dzięki wprowadzeniu automatyzacji linii produkcyjnych w zakładach prefabrykacji; ochronę środowiska przez lepsze zarządzanie surowcami; wprowadzanie nowych rozwiązań technologicznych pozwalających na produkcję m.in. smuklejszych elementów, przez co możliwe będzie uzyskanie większej powierzchni użytkowej obiektów budowlanych; zmniejszenie liczby wypadków na budowach; możliwość zmniejszenia liczby pracowników na placu budowy przez przeniesienie części pracochłonnych i czasochłonnych procesów do zakładów prefabrykacji; zmniejszenie wpływu warunków atmosferycznych na prowadzone prace na budowie. Rozwój zakładów prefabrykacji oznacza przyjęcie nowych strategii zarządzania zarówno w samych zakładach, jak i na budowach. Pozwoli to na zaspokojenie potrzeb inicjatyw co do ochrony, utrzymywania i podnoszenia wartości ludzkich oraz zasobów naturalnych, które będą potrzebne w przyszłości – zarównoważenia interesów ekonomicznych, społecznych i ekologicznych.

  • Organic solvents aggregating and shaping structural folding of protein, a case study of the protease enzyme
    • Monikaben Padariya
    • Maciej Bagiński
    • Minofar Babak
    • Umesh Kalathiya
    2022 Full text BIOPHYSICAL CHEMISTRY

    Low solubility of reactants or products in aqueous solutions can result in the enzymatic catalytic reactions that can occur in non-aqueous solutions. In current study we investigated aqueous solutions containing different organic solvents / deep eutectic solvents (DESs) that can influence the protease enzyme's activity, structural, and thermal stabilities. Retroviral aspartic protease enzyme is responsible for the cleavage of the polypeptide pre- cursors into mature viral components, a very crucial step for virus life cycle. In molecular dynamic simulations (MDS), the complex of the protease enzyme with Darunavirwas found highly stable in urea aqueous solution compared to when with the ethylene glycol (EG) or glycerol solvents. Particularly, in different organic solvents the presence of Darunavir induced protein-protein interactions within the protease homodimer. For the systems with EG or glycerol solvents, the flap domains of the enzyme formed an “open” conformation which lead to a weak binding affinity with the drug. Conserved D25 and G27 residues among this family of the aspartic protease enzymes made a stable binding with Darunavir in the urea systems. Unfolding of the protease dimer was initiated due to self-aggregation for the EG or glycerol organic solvents, which formed an “open” conformation for the flap domains. On the contrary lack of such clustering in urea solvent, the protease showed conventional structural folding in the presence or absence of the drug molecule. These novel findings may help to better understand the protease enzymes, which could be controlled by deep eutectic solvents.

  • Organic Vapor Sensing Mechanisms by Large-Area Graphene Back-Gated Field-Effect Transistors under UV Irradiation
    • Katarzyna Drozdowska
    • Adil Rehman
    • Pavlo Sai
    • Bartłomiej Stonio
    • Aleksandra Krajewska
    • Maksym Dub
    • Jacek Kacperski
    • Grzegorz Cywiński
    • Maciej Haras
    • Sergey Rumyantsev
    • Lars Österlund
    • Janusz Smulko
    • Andrzej Kwiatkowski
    2022 Full text ACS Sensors

    The gas sensing properties of graphene back-gated field-effect transistor (GFET) sensors toward acetonitrile, tetrahydrofuran, and chloroform vapors were investigated with the focus on unfolding possible gas detection mechanisms. The FET configuration of the sensor device enabled gate voltage tuning for enhanced measurements of changes in DC electrical characteristics. Electrical measurements were combined with a fluctuation-enhanced sensing methodology and intermittent UV irradiation. Distinctly different features in 1/f noise spectra for the organic gases measured under UV irradiation and in the dark were observed. The most intense response observed for tetrahydrofuran prompted the decomposition of the DC characteristic, revealing the photoconductive and photogating effect occurring in the graphene channel with the dominance of the latter. Our observations shed light on understanding surface processes at the interface between graphene and volatile organic compounds for graphene-based sensors in ambient conditions that yield enhanced sensitivity and selectivity.

  • Osiedle Naturia/Toruń
    • Agnieszka Błażko
    2022 Full text Architektura-Murator

    Osiedle Jar, zlokalizowane na leśnych terenach powojskowych, to niezwykle atrakcyjny i dynamicznie rozwijający się obszar budownictwa mieszkaniowego w Toruniu. W jego północnej części, w miejscu ograniczonym ulicami Strobanda, Grasera i Watzenrodego powstaje zanurzony w zieleni zespół wielorodzinnych budynków mieszkalnych autorstwa KURYŁOWICZ & ASSOCIATES - egzemplifikacja modernistycznego modelu zespołu mieszkalnego złożonego z otoczonych zielenią wolnostojących domów, z odpowiednio nasłonecznionymi i przewietrzanymi mieszkaniami różnych typów. Główną ideą projektu odwołującą się chociażby do tonącego w zieleni Hansaviertel w Berlin Mitte było takie wpisanie budynków mieszkalnych w piękne leśne otoczenie aby możliwe było zachowanie i wyeksponowanie jak największej liczby drzew i naturalnego, urozmaiconego ukształtowania terenu.

  • OVERALL SET OF BANDSAW TEETH VERSUS METHODS OF MEASUREMENTS
    • Dawid Stenka
    • Kazimierz Orłowski
    • Daniel Chuchała
    2022 Full text Trieskove a Beztrieskove Obrabanie Dreva

    This article deals with the impact of the manual methods of measurement on the overall set measurement results. It describes the results of the measurement of bandsaw teeth kerf with the use of a micrometer and a digital calliper. It is commonly known that the cutting process causes the wear of cutting tools. The wear of the cutting edge depends on the cutting conditions as well as on the mechanical properties of the processed material. One of the methods used to estimate the state of saw teeth uses kerf measurements. The overall set of teeth of the bandsaw Prime ST 0.8/1.2 by Wintersteiger, which was used in the oak wood re-saving process, was measured using a micrometer and a digital calliper. The results of different measurements were compared to estimate the accuracy and precision of those methods. It was shown that micrometer measurements were much more precise than calliper measurements. It was also noted that the kerf varied between two tooth ranges

  • Overcoming carboxylic acid inhibition by granular consortia in high-load liquefied food waste fermentation for efficient lactate accumulation
    • Xianbao Xu
    • Xia Gu
    • Tingting Ye
    • Yanbiao Liu
    • Yanan Liu
    • Gang Xue
    • Xiang Li
    • Jacek Mąkinia
    2022 JOURNAL OF CLEANER PRODUCTION

    Granular sludge, a self-aggregating spherical biofilm, possesses better stability compared to flocculent sludge under extreme conditions. This study compared the ability of anaerobic granular sludge (AnGS) and flocculent waste activated sludge (WAS) to convert food waste (FW) into highly-valuable optically active lactic acid (LA), a central and versatile intermediate platform molecule. Different loadings (30–60 g volatile suspended solids (VSS)/L) were applied and LA was accumulated to 52.7 g chemical oxygen demand (COD)/L on day 7 with optical activity (OA) of 77% using granular consortia under the highest FW loading, exhibiting a 48% increase in the yield over flocculent WAS on day 6. An initially delayed utilization of carbohydrates and subsequently enhanced glycolysis occurred with AnGS, which was in line with its high accumulation of LA. Furthermore, the AnGS consortia were dominated by LA bacteria (81%), including Bacillus, Lactobacillus, and Bifidobacterium, much higher than the WAS consortia (48%). The AnGS was more tolerant to LA inhibition, preventing cytoplasmic pH decrease (intracellular H+ in AnGS was 42% lower than in WAS) from the dissociation of carboxylic acid inside the cells. This might be due to its particular multi-layered aggregate extracellular polymeric substance structure and the enhancement of H+-transporting ATPase (increased by 120% in AnGS). This study provides a practical way to overcome carboxylic acid inhibition and increase the recovery of value-added platform molecules from organic wastes.

  • Overcoming gender bias in the digital economy. Empirical evidence for European countries
    • Ewa Lechman
    • Magdalena Popowska
    2022 Gender, Technology and Development

    This study aims to contribute to understanding the gender biases that emerge in the digital technology-related field. More specifically we concentrate on examining whether gender gaps are diminishing or are persistent in terms of women’s enrollment in technology-related programs at the tertiary level of education and for female STEM graduates. Next, this evidence is confronted with gender biases in the labor market regarding changing female and male employment in high-tech sectors; we detect whether gender gaps grow or diminish in this respect. Our data cover 29 European countries in the period 2011–2020 and are extracted from World Economic Forum reports, Eurostat, and UNESCO databases. Our methodological framework combines time trends analysis, cross-country inequalities, distributional changes, and non-parametric approximations examining relationships between variables. Our major conclusions support the view of negligibly diminishing gender inequalities in technology-related education and demonstrate increasing gender gaps regarding high-tech employment.

  • Overview of Approaches for Compensating Inherent Metamaterials Losses
    • Bashar Esmail
    • Sławomir Kozieł
    • Stanisław Szczepański
    • Huda Majid
    2022 Full text IEEE Access

    Metamaterials are synthetic composite structures with extraordinary electromagnetic properties not readily accessible in ordinary materials. These media attracted massive attention due to their exotic characteristics. However, several issues have been encountered, such as the narrow bandwidth and inherent losses that restrict the spectrum and the variety of their applications. The losses have become the principal limiting factor when employing metamaterials in real-world applications. Consequently, overcoming them is crucially important and of practical necessity. This paper discusses the practical applications of metamaterials in constructing functional devices and the effects of the losses on such devices. In more depth, it reviews the available approaches for reducing the metamaterial losses developed over the last two decades in the light of available literature. These approaches include the utilization of the principles of electromagnetically induced transparency (EIT), geometric tailoring of the metamaterial structures, and embedding gain materials. Further, computational optimization techniques, such as particle swarm optimization (PSO) and genetic algorithm (GA), are also discussed to design low-loss metamaterials. The EIT-like metamaterial and the including of gain materials are systematic and universal approaches exhibiting low loss approaching zero. In contrast, the other two are not systematic and universal approaches.

  • Overview of Knowledge Management in Occupational Safety, Health, and Ergonomics
    • Syed Imran
    • Edward Szczerbicki
    • Cesar Sanin
    2022

    Occupational safety, health, and ergonomics (OSHE) are strategic pillars of contemporary organizations. In order to provide safer workplace, it is vital to manage the organizational knowledge, so that effective decision making along with absolute compliance to standards can be executed. The critical challenge for OSHE in modern industry is management of existing individual knowledge (experience), structure knowledge, and organizational knowledge in the vast domains of practical applications. This paper firstly investigates the requirements for effective knowledge management (KM) in OSHE, secondly it reviews the present knowledge models and finally proposes a new knowledge model in OSHE. The proposed model is based on a technique called set of experience knowledge structure (SOEKS); it is not only capable of knowledge creation, distribution, elaboration, and consolidation but also possesses features to review and reflect decisions taken in past.