Ograniczanie wyników
Czasopisma help
Autorzy help
Lata help
Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 55

Liczba wyników na stronie
first rewind previous Strona / 3 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  system dynamics
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 3 next fast forward last
1
EN
This paper presents an improved System Dynamics (SD) model to assess the greenhouse gas (GHG) emission reduction measures between 2023 and 2050 at the container terminal of the Port of Koper. The new model builds on previous models and includes several subsystems that take into account many decarbonisation instruments such as the electrification of facilities, the introduction of alternative fuels (ammonia, methanol, hydrogen, biofuels) and onshore power supply (OPS). The simulation results show that emissions can be reduced by 88.6% by 2050, mainly through harbour equipment. The model follows the dynamics of the S-curve in the introduction and estimation of throughput growth in reality. Decarbonisation has not been fully completed but can be advanced with future technologies such as carbon capture for additional emission reductions. The study proves that dynamic modelling is efficient in long-term sustainability planning and provides a scalable model that can be used by other ports wishing to meet the IMO 2050 targets.
EN
Bioethanol is an alternative solution that fulfills the gasoline demand and directly reduces imports. It has similar characteristics to gasoline and is more sustainable because it is derived from biomass and has lower emissions. The research aims to assess bioethanol production to meet Indonesia’s mandatory bioethanol utilization and to reduce imports until 2030 by accomplishing a system dynamic model of gasoline supply and demand in Indonesia. Using system dynamics software STELLA, the model will help us to understand the trend of supply-demand of gasoline in Indonesia with related variables, and with some scenarios, the simulation will be conducted to achieve particular goals. If no intervention exists in the modeled system, the gasoline import trend tends to grow yearly, reaching more than 70% of the total supply. The bioethanol mandate will be achieved when the Mandatory Scenario is used, which will be 20% blended with gasoline in 2025. The scenario will reduce gasoline imports to 4.13–10.39 million kL during the simulation period. Meanwhile, the Zero Gasoline Import Scenario will need 31.54–43.91 million kL of bioethanol, and the blending rate of bioethanol will be 71–76%. Therefore, the government should set an E75–E80 mandate if gasoline imports are to be abolished. Several policies that can support the scenario and be proposed to the government are also given, such as incentives for feedstock and bioethanol producers, price regulation for gasoline and bioethanol, and incentives for the customer and automotive manufacturers.
PL
Bioetanol jest alternatywnym rozwiązaniem, które zaspokaja zapotrzebowanie na benzynę i bezpośrednio zmniejsza import. Ma właściwości podobne do benzyny i jest bardziej zrównoważony, ponieważ pochodzi z biomasy i charakteryzuje się niższą emisją. Badania mają na celu ocenę produkcji bioetanolu w kontekście realizacji obowiązkowego wykorzystania bioetanolu w Indonezji i zmniejszenia importu do 2030 r., poprzez stworzenie dynamicznego modelu systemu podaży i popytu na benzynę w Indonezji. Dzięki wykorzystaniu oprogramowania do dynamiki systemowej STELLA model pomoże zrozumieć trendy podaży i popytu na benzynę w Indonezji wraz z powiązanymi zmiennymi, a przy pomocy kilku scenariuszy przeprowadzona zostanie symulacja w celu osiągnięcia określonych celów. Jeśli w modelowanym systemie nie ma żadnych interwencji, tendencja importu benzyny będzie rosła z roku na rok, osiągając ponad 70% całkowitej podaży. Wymóg dotyczący bioetanolu zostanie osiągnięty, gdy zastosowany zostanie scenariusz obowiązkowy, który przewiduje 20% domieszki do benzyny w 2025 r. Scenariusz ten spowoduje zmniejszenie importu benzyny do 4,13–10,39 mln kL w okresie symulacji. Tymczasem scenariusz zerowego importu benzyny będzie wymagał 31,54–43,91 mln kL bioetanolu, a stopień domieszki bioetanolu wyniesie 71–76%. Dlatego też rząd powinien ustanowić wymóg E75– E80, jeśli import benzyny ma zostać zniesiony. Przedstawiono również kilka polityk, które mogą wspierać ten scenariusz i które można zaproponować rządowi, takich jak zachęty dla producentów surowców i bioetanolu, regulacja cen benzyny i bioetanolu oraz zachęty dla klientów i producentów samochodów.
PL
Przedmiotem artykułu jest model symulacyjny pojedynczej roboty budowlanej opracowany do dynamicznego zarządzania zasobami odnawialnymi i nieodnawialnymi wykorzystywanymi w ramach jej realizacji. Autorzy wykorzystali do tego celu koncepcję Dynamiki Systemów (ang. System Dynamics – SD), która uwzględnia dynamiczne oraz nieliniowe zależności przyczynowo-skutkowe w tym sprzężenia zwrotne pomiędzy elementami modelowanego systemu. Dodatkowo na potrzeby optymalizacji zarządzania zasobami uwzględnione zostały potencjalne, podstawowe czynniki zakłócające realizację roboty budowlanej, np.: absencja pracowników, niekorzystne warunki atmosferyczne, problemy z jakością. Potencjał zaproponowanego podejścia przedstawiono na przykładzie roboty budowlanej związanej z układaniem warstwy ścieralnej nawierzchni dziedzińca w obiekcie wpisanym do rejestru zabytków.
EN
For the purpose of this study, a simulation model of an individual construction work was developed, allowing for the dynamic management of renewable and non-renewable resources used to complete said work. The authors used System Dynamics (SD) for this purpose, as this model accounts for dynamic and non-linear cause-and-effect relationships, including feedback loops, between a system’s elements. In addition, to optimise resource management, potential basic factors that can disrupt the execution of the work were included in its model: worker absenteeism, unfavourable weather conditions, problem with quality. The potential of the proposed approach was presented using a construction work that featured the laying of a wearing course on a paved surface located at a listed heritage site.
EN
Water scarcity affects approximately 40% of the global population, with drought events causing annual economic losses exceeding $5-8 bln. Traditional water management approaches are increasingly inadequate as climate variability intensifies. The current study aims to develop an integrated framework for water resource optimisation during drought periods that bridges theoretical models with practical implementation considerations. The research was conducted across three watersheds (Limpopo, Murray-Darling, and Colorado River basins) using comprehensive hydroclimatic, socioeconomic, and institutional data spanning 1992-2022. A system dynamics model with five interconnected subsystems was coupled with a Non-dominated Sorting Genetic Algorithm-III optimisation framework. The Institutional Analysis and Development framework assessed governance structures, while Sobol sensitivity analysis evaluated parameter influence. Optimised balanced strategies reduced economic losses by 19.4-24.8%, decreased social impacts by 25.8-28.7%, and increased environmental flow compliance to 49.2-61.7% compared to baseline management. The Murray-Darling basin demonstrated the highest implementation potential due to its comprehensive legal framework and established adaptive mechanisms. Under severe climate change scenarios, optimisation performance advantages declined by 21-29%. Effective drought management requires both technical optimisation and institutional adaptation. Basin-specific implementation pathways provide practical roadmaps for enhancing water security while balancing diverse stakeholder needs in increasingly water-stressed regions.
EN
Waste is a critical issue in urban areas, including Bantaeng Regency, which, despite its reputation as a clean city, continues to face major challenges in its waste management system. Limitations in infrastructure, insufficient landfill (TPA) capacity, and suboptimal waste handling methods have led to 35.62% of waste remaining unmanaged in 2024. This study aims to develop a dynamic system model to evaluate the performance of the existing waste management system and simulate alternative policy scenarios to achieve sustainable waste governance. A quantitative-descriptive approach was employed using the Vensim software. Data were obtained through field observations, stakeholder interviews, and secondary sources from relevant agencies. The model includes variables such as population, waste generation, transport and processing capacities, and vehicle trip frequency. Model validation was conducted through mean comparison and error variance tests. Four scenarios were simulated: existing, moderate, optimistic, and Regional Waste Management Strategy. The results show that under the existing scenario, only about 35% of waste is properly managed, and if no intervention is implemented, unmanaged waste is projected to increase to 38% or approximately 12,000 tons per year. The moderate and optimistic scenarios improved performance, reaching 52% and 60% waste handling, respectively. The Jakstrada Regional Waste Management Strategy scenario yielded the most optimal results, with 71% of waste handled and 29.8% reduced, achieving the national target of 100% waste management. This study confirms the effectiveness of dynamic system modeling in evaluating data-driven policy decisions. The Jakstrada scenario is recommended as the most realistic and context-appropriate strategy to support sustainable waste management goals in Bantaeng regency.
EN
Background: This study delves into the transformative potential of Real-Time Visibility (RTV) in global manufacturing supply chains, building upon existing research to explore its impact on operational efficiency and sustainability. It addresses key challenges in implementing RTV, such as trust issues, technological barriers, and data accuracy. The research is anchored around two main questions: identifying specific improvements in supply chain efficiency attributable to RTV and understanding how RTV catalyzes operational enhancements in global manufacturing supply chains. Methods: Our study employs the Action Learning Research (ALR) methodology to examine supply chain visibility, addressing the limitations of the Resource-Based View (RBV) as identified by existing literature. Through qualitative thematic analysis of the discussions, our research uncovers patterns and insights into supply chain visibility dynamics, contributing to academic and practical discourse. Our methodology unfolds in five cycles, each exploring different facets of supply chain visibility. This comprehensive approach bridges a significant gap in the literature and ensures our findings are grounded in the real-world complexities of modern supply chains. Results: The study presents findings from a case study involving the integration of Real-Time Transportation Visibility Platform (RVTP) with a global manufacturer’s Transportation Management System (TMS). Key results include notable improvements in operational efficiency, cost reduction, and enhanced sustainability. These improvements manifest as heightened accuracy in Estimated Time of Arrivals (ETAs), more streamlined operational workflows, reduced lead times, substantial cost savings in demurrage and detention, and improved customer communication. The research also identifies the broader impacts of RTV on supply chain operations, such as the development of advanced visual tracking systems for better stakeholder management. Conclusions: The study concludes that RTV transcends being a mere technological advancement and emerges as a strategic imperative in modern supply chain management. It underscores the necessity of strategic planning and resource allocation for sustainable growth and operational efficiency. The findings affirm RTV's crucial role in fostering efficient operational practices and enhancing data quality, resilience, and risk management capabilities. The research suggests future directions for exploring RTV implementation across various industries and supply chain models, reinforcing RTV's importance as a foundation for efficient, resilient, and sustainable supply chain operations.
EN
Unmanned Aerial Vehicle (UAV) swarms are utilized in various missions and operated within an open environment that is prone to disruptions. The resilience of UAV swarms, an important requirement, mainly revolves around ensuring stable and uninterrupted operations. Malicious attacks can implement the adverse impacts of potential threats through swarm communication links. In this context, the SIS (Susceptible → Infected → Susceptible) method is suitable for describing the information transmission within UAV swarms. An enhanced resilience model of the UAV swarm is proposed in this study, which incorporates the factors of self-dynamics, dynamics of topology, dynamics of information transmission, and SIS into the complex network model. Self-dynamics refer to the internal dynamics of the drones. In this paper, dynamics of topology consist of three factors: the varying distance between drones, the incoming degrees of each drone, and the number of communication types between drones. Lastly, dynamics of information transmission are characterized by SIS. The model proposed in this paper has the capability to effectively capture changes in the network topology as well as the dynamics of the system, which are significant contributors to the loss of resilience. And then, the average number of susceptible drones is utilized as the metric to evaluate the resilience of the swarm. Furthermore, an experiment is conducted where a UAV swarm successfully carries out a surveillance mission to demonstrate the advantages of our proposed method. The proposed model not only enables the support of mission planning but also facilitates the design enhancements of UAV swarms.
EN
Project completion behind schedule is a struggle for the construction sector, affecting time, cost, and quality. This investigation has been necessitated by the lingering nature of project delay risks despite many extant analyses. This study collated expert opinions from the Thai construction sector on salient construction delay variables and their influence on each other for DEMATEL-SD analysis. The collated data were analysed and found consistent with a Cronbach’s alpha of 0.939. Then, the DEMATEL technique was used to establish the influence weight of factors for the System dynamics (SD) analysis. It was discovered that minimising the design error at the preconstruction stage significantly reduces the magnitude of delay. Increasing values of design error and change order increase the rework profile. Besides, the project delivery within the scheduled 232 weeks can be ensured by minimising the threat of design error, design change, change order, rework, productivity problem, and by improving project management. This study adopted a hybrid mathematical system to holistically examine the construction delay risk by comprehensively exploring the dynamics of influencing variables and investigating their impact on the project scheme. The system helps project stakeholders to arrive at an effective decision in overcoming delay risks, thus minimising the cost overrun and improving the project quality.
EN
Circular economy offers opportunities to boost jobs and tackle climate change. The article reflects aspects of the impact on the environment through sectoral policies to support the circular economy because current business as usual model, based on the linear economy principle leads to a staggering inefficiency in nature resources are managed, with increased pollution, loss of ecosystems and substantial losses of value with each product disposed. This requires a change not only in consumer behaviour but even more on the resource extraction and material production side. The purpose of the research paper is to develop a decision-making matrix providing a step-by-step approach for the policymakers.
EN
The paper describes a methodology of determining the toxicity sources, using bioassay based on the wildlife objects that change their colorimetric parameters under the influence of toxic factors. The work explores the dynamism of the colorimetric attributes associated with plant pigments. It can be determined by computer processing of the data obtained from digital remote sensing of the lands affected by toxic pollution by means of such relatively low-cost and straightforward methods as digital photography from an aircraft or a drone. The results obtained do not allow direct measurements but rather serve as a basis for the development and characterization of new biomarkers.
EN
Antarctic krill mainly inhabit the Antarctic Ocean, not far from Antarctica, especially the Weddell Sea, where krill is dense. Marine fisheries have reached new levels, but the topic of sustainable use of marine fishery resources is far from reaching the required levels. In order to study the sustainable development of the Antarctic krill environment, this paper studies the living environment and applicability of Antarctic krill based on system dynamics, and provides some references for the sustainable development of marine resources. Mentioned the use of case analysis method, literature analysis method and other methods to collect data, build a Model, and read and analyse a large number of related literatures through the literature survey method. The experimental results proved that the salinity has a significant effect on the survival rate of Antarctic krill (p < 0.05). When the salinity is 34, the molting frequency reaches its maximum value, which is 70 %. It is concluded that the ability of Antarctic krill to adapt to gradual changes in salinity is stronger than that of sudden changes in salinity, and the suitable salinity for survival is 30-42. With 34 as the basic salinity, when the salinity rises within a certain range, the molting rate of krill will increase, and as the salinity decreases, the molting rate will gradually decrease. This shows that improving the environmental resources of Antarctic krill is an effective method for improving salinity.
EN
With the rapid growth of flight volume, the contradiction between insufficient support capability of air traffic control (ATC) units and large demand for development ultimately hinders their sustainable and safe development. The article aims at the leverage point of the contradiction between supply and demand so as to provide scientific safety policies. Based on the system archetype "growth and underinvestment", from the perspective of the feedback relationships between support capability, safety, and development, the causality of the dynamic factors of control, communication, navigation, and surveillance, as well as meteorology and information subsystems was studied. Then, a system dynamics model for the sustainable and safe development of ATC units was established. Taking the Tianjin ATC sub-bureau as an example, policy suggestions for sustainable and safe development were put forward according to the scenario simulation results.
13
EN
Waste or additional costs in infrastructure projects such as jetty projects are often caused by rework. Besides having an impact on costs, rework is also a very significant contributor to waste or adding time which causes delays in the completion schedule of the project. A lot of research on rework has been carried out on both building and road construction projects, but there is no jetty construction project. This study aims to develop improvement scenarios to minimize the emergence of rework on pier infrastructure projects by modelling and simulating cost performance. The research variables were obtained based on the results of a literature study by asking for opinions from experts who are compatible in their scope. The initial model used the causal loop diagram form which was later developed into a Stock Flow Diagram, after which a repair simulation was carried out using the dynamic system method to determine the effect on cost performance. From the research results obtained 14 factors that affect the cost and time performance on the jetty project, the implementation of a dynamic system can provide the optimum solution with the ability to reduce the percentage of the number of reworks by 24.12% for 12 months.
PL
Stosowana w badaniu przepływów turbulentnych metoda termoanemometryczna polega na pomiarze wielkości fizycznych opisujących przepływ poprzez pomiar strat cieplnych miniaturowego nagrzanego elementu. Termoanemometr umożliwia pomiary przepływów szybkozmiennych w szerokim zakresie prędkości, przy dobrym stosunku sygnału do szumu. Pasmo przenoszenia sięga setek kiloherców, a zakres mierzonych prędkości od ułamków metra na sekundę do prędkości ponaddźwiękowych. W artykule przedstawiono koncepcję modyfikacji klasycznego mostkowego układu anemometru stałotemperaturowego z przeznaczeniem do badań w szerokim zakresie fluktuacji prędkości przepływu. Istotą zaproponowanej modyfikacji jest przede wszystkim ograniczenie szumów własnych układu przy zachowaniu bardzo dobrych parametrów dynamicznych. Układ przeznaczony jest do badań przepływów turbulentnych o szerokim spektrum częstotliwościowym fluktuacji prędkości.
EN
The hot-wire anemometric method used in the study of turbulent flows consists in measuring the physical quantities describing the flow by measuring thermal losses of a miniature heated element. The hot-wire anemometer enables measurements of fast-varying flows over a wide velocity range, with a good signal-to-noise ratio. The frequency response is of hundreds of kilohertz, and the measured velocity ranges is from centimeters per second to supersonic speeds. The article presents the concept of modification of the classic bridge of constant-temperature anemometer system intended for testing in a wide spectral range of flow velocity fluctuations. The essence of the proposed modification is, above all, to reduce the system’s own noise while maintaining very good dynamic parameters. The system is designed to study turbulent flows with a wide frequency spectrum of velocity fluctuations.
EN
For modeling dynamics of mechanisms, various classical formulations are available in theliterature. The equations of dynamics given by various classical formulations can also bederived from the bond graph. The bond graph is a convenient graphical representation formodeling dynamics of physical systems in multi-energy domains.In this paper, various alternative causality assignment procedures in the bond graphare used to derive different classical formulations such as the Lagrange’s equations of thefirst kind (withmultipliers), Lagrange’s formulation of the second kind, and Hamiltonianformulations. An example of the quick return mechanism has been modeled using the bondgraph technique, and various alternative causality assignment procedures are applied toderive the various formulations. Simulation coding has been done using MATLAB andresults have been analyzed and discussed. The purpose of this paper is to show how thevarious formulations can be obtained from bond graph using various alternative causalityassignment procedures.
16
EN
To harness the endless hydrokinetic energy of the Kuroshio current, the joint research team of the National Taiwan University and the National Taiwan Ocean University has developed a floating Kuroshio turbine (FKT) system in Taiwan. In normal operation, the system floats at a certain small depth from the ocean surface to reduce the wave effects and take advantage of faster current speeds. In the present study, the effect of the mooring line on the system dynamics is investigated computationally. Two different auxiliary mooring line designs and, for each design, three different common mooring lines (polyester ropes of neutral buoyancy, iron chains, and 6×19 wires ropes with wire core) are examined. The study makes use of several commercial and in-house packages, integrated to find various coefficients. It is found that the mooring line, the auxiliary mooring line design, and the gravity centre can have a significant effect on system fluctuations in normal operation if the combination of these factors is not properly matched.
EN
The article presents the most important information concerning computer modelling and simulation, system dynamics modelling, discrete event modelling and agent modelling. An exemplary model of the production process of windscreen wipers, which was created on the basis of assumptions, discussed the individual components of the model. An example of using JAVA code in AnyLogic program is presented and examples of indicators that can be calculated and presented in the form of a graph in the program are shown. Computer simulations enable tracking and analysis of the production process. They help to verify assumptions and detect irregularities in the modeled process. Simulation programs have a wide range of possibilities, allow you to create reports, charts, comparisons, allow you to optimize processes.
EN
The paper is an extension of the authors Kasperska E., Kasperski A., Bajon T. and Marjasz R. work (Kasperska et al., 2015) in the area of modeling and simulation of ecosystems on the base of "prey-predator" system dynamics model (presented on DSTA conference in 2015). The problem of connecting simulation with optimization is specially expanded to include both types of optimization - the policy optimization and the calibration. This new policy uses different set of parameters, model criteria and set of optimized parameters. The comparison between sensitivity analysis, optimization results and gaming outcome gives us a new view of learning process used by decision makers, model builders and students. We use the possibilities of visualization of simulation that are given by simulation language Vensim, and we try to apply calibration to detect the conditions, that stabilized that ecosystem and, what is quite new in the literature of this old, build the simulation game on base of that model to examine different scenarios of the human intervention in that ecosystem. At the end some conclusions are formulated.
PL
W artykule zaprezentowano wykorzystanie dynamiki systemów do analizy efektów wdrożenia technologii, których zakres oddziaływania wykracza poza bezpośrednie miejsce wdrożenia technologii. Istnieje szereg technologii, których efekty wdrożenia pojawiają się w obszarach, w których ich się pierwotnie nie spodziewano. Wykorzystanie dynamiki systemów pozwala zrozumieć mechanizmy powodujące pojawianie się tychże efektów. Przedstawiono przykład i omówiono wyniki symulacji dla modelu dyfuzji F. Bass’a dla technologii identyfikacji radiowej w polskich bibliotekach.
EN
Authors presented application of systems dynamics for an assessment of implementation of technology, which impacts extend direct point of application. There are many technologies, which implementation impacts areas, that were not initially assumed to be impacted. Application of systems dynamics enables better understanding of mechanisms driving such effects. An example of a simulation for the F.M. Bass diffusion model of radio frequency identification technology in Polish libraries was presented and discussed.
PL
Współczesny rozwój technologii informatycznych umożliwił prowadzenie operacji militarnych w cyberprzestrzeni z wykorzystaniem oprogramowania złośliwego. Okazuje się, że modele walki Lanchestera w połączeniu z modelami rozprzestrzeniania się kodu złośliwego można zastosować do ilościowego modelowania operacji kinetycznych wspartych operacjami propagacji kodu złośliwego w systemach przeciwnika. W pracy przedstawiono w ujęciu dynamiki systemowej dwa modele walki z użyciem kodu złośliwego oraz przykładowe wyniki ich symulacji. Modele w języku dynamiki systemowej bazują na klasycznym modelu dynamiki walki bezpośredniej Lanchestera oraz modelu propagacji kodu złośliwego w systemach komputerowych SAI (ang. susceptible, antidotal, infected).
EN
Modern information technologies have enabled to carry out military operations in cyberspace with using malware. It turns out that Lanchester combat models in conjunction with the models of malicious code propagation in IT systems can be used for quantitative modeling of kinetic operations supported by cyber operations with malware propagation in opposing forces’ IT systems. This paper presents in terms of system dynamics two combat models with using propagation of malware codes and the sample results of their simulation. The system dynamics combat models are based on the Lanchester classical direct fire combat model and SAI (susceptible, antidotal, infected) model of malicious code propagation in computer systems.
first rewind previous Strona / 3 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.