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Journal articles on the topic 'System dynamics'

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Published: 4 June 2021
Last updated: 8 June 2024

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1

Ma, Zheng-Dong, and Ichiro Hagiwara. "Recent Advance in Multibody System Dynamics." Reference Collection of Annual Meeting 2004.8 (2004): 372–73. http://dx.doi.org/10.1299/jsmemecjsm.2004.8.0_372.

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2

f, f. "Designing for Dynamics in Dynamic Narrative Inquiry." Asian Qualitative Inquiry Association 2, no. 2 (December 31, 2023): 77–94. http://dx.doi.org/10.56428/aqij.2023.2.2.77.

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This article addresses the question “How is dynamic narrative inquiry dynamic?” To do that, I present principles of dynamic narrative inquiry, with a focus on the active authoring of meaning in research interactions as in everyday life. Drawing on prior examples of activity-meaning system research designs and dynamic narrative analyses, I illustrate how this authoring process involves creative use of language and literary forms to express and transform interactive meaning with diverse others and one’s self. A goal of the article is to increase researchers’ sensitivity to the fact that paying attention to how everyone communicates offers major and otherwise overlooked insights into what everyone is saying about the issue of interest.
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3

Cho, J. I., J. Y. Kim, and T. W. Park. "62931 DYNAMIC ANALYSIS ON THE NEXT GENERATION HIGH-SPEED RAILWAY VEHICLE(Railroad System Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _62931–1_—_62931–6_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._62931-1_.

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4

Dinc, O. S., R. Cromer, and S. J. Calabrese. "Redesigning Mechanical Systems for Low Wear Using System Dynamics Modeling." Journal of Tribology 118, no. 2 (April 1, 1996): 415–22. http://dx.doi.org/10.1115/1.2831318.

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This work describes a method of minimizing wear and extending the life of machinery components and large, complex machine structures by controlling the overall system dynamics. The method consists of the following steps: first, developing a system dynamics model for the entire machine structure using available rigid multi-body dynamic analysis computer codes; second, obtaining dynamic performance data from the system dynamics model for each sliding contact in the actual machine, and feeding this information into a suitable wear model which is either being used or developed for the particular material combination; third, matching the results of the wear prediction with actual machine wear inspection data; and last and most important, returning to the dynamic analysis model and modifying or redesigning the machine to minimize the intensity of the system dynamics, thus extending the wear life of the components. The method is being developed for application to large, complex machines which have numerous sliding contacts. Many of these contacts are at junctions between subcomponents assembled together. These junctions are often designed to accommodate relative motion due to vibration or thermal mismatches. After the initial analyses have been done, both minor and major mechanical design and material changes must be investigated to determine how effectively these could reduce wear. Each successive configuration can be evaluated using the dynamic analysis model. Application of this approach to the mechanical design of a gas turbine combustor reduced the noise level of the entire system and tripled the average machine life.
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5

Agne, Sören. "System-Dynamics." Controlling 25, no. 4-5 (2013): 269–70. http://dx.doi.org/10.15358/0935-0381_2013_4-5_269.

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6

SATOH, Keita, Ryotaro OHKAWA, Hironori A. FUJII, Kenji UCHIYAMA, and Kazuhiro IIJIMA. "63695 STUDY ON FUNDAMENTAL DYNAMICS OF VERY LONG TETHER SYSTEM(Aerospace Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _63695–1_—_63695–7_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._63695-1_.

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7

Sorokin, A. B., L. M. Zheleznyak, D. V. Suprunenko, and V. V. Kholmogorov. "Designing modules of system dynamics in decision support systems." Russian Technological Journal 10, no. 4 (July 29, 2022): 18–26. http://dx.doi.org/10.32362/2500-316x-2022-10-4-18-26.

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Objectives. When creating models of system dynamics, the basic construct at the design stage is the representation of the process under study in terms of a causal relationship consisting of a positive feedback loop and a negative feedback loop. The construction of a model of a dynamic environment can experience a number of difficulties in using feedback. This work shows the possibility of designing modules of system dynamics for decision-making systems based on the situational-activity approach. The study proposes the gap in knowledge about models of system dynamics to be filled with a conceptual model of an act of activity, by means of which an expert system can be implemented based on production rules. In this context, conceptual models are applied to human reasoning with reference to certain types of activity. The objective of the study was to investigate the possibility of applying the situational-active approach to designing models of system dynamics of infectious diseases based on particular representations of the conceptual structure of the act of activity.Methods. By synthesizing Bolotova's situational algorithm and Shchedrovitskiy's system-activity approach, the conceptual structure of the act of activity is presented as a methodology of the situational-activity approach. The analysis of this structure leads to the construction of a plan of processual structure and a plan of analytical relationships. The article proposed a hypothesis that the process representations describe the notation of flows and levels, and the analytical relationships implement differential equations. In order to prove this hypothesis, the subject area of infectious diseases was investigated.Results. Based on the set of these plans, a graphic image was synthesized for constructing models of system dynamics, which is identical to the diagram of flows and levels of development of the SIR process. However, the problem of constructing conceptual structures is nontrivial, complex, and laborious. Therefore, the Designer-Solver-Interpreter software suite was implemented. The software tools enable a visualization of the conceptual structures and implementation of the knowledge bases for expert models of system dynamics. It also tests the completeness and viability of the model.Conclusions. To date, there is no single conceptual structure for designing expert systems and situational and simulation dynamic models. The proposed method and software tools allow these problems to be resolved using the situational-activity method. Various types of dynamics in expert systems interact, thus confirming the reliability of knowledge in the models of system dynamics. The conceptual structures of the act of activity are the core part of designing expert systems, while he derivative process and analytical representations of the act of activity are the core part of developing modules of system dynamics.
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8

Georgantzas, Nicholas C., and Evangelos G. Katsamakas. "Information systems research with system dynamics." System Dynamics Review 24, no. 3 (September 2008): 247–64. http://dx.doi.org/10.1002/sdr.420.

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9

Rodriguez-Ulloa, Ricardo, and Alberto Paucar-Caceres. "Soft System Dynamics Methodology (SSDM): Combining Soft Systems Methodology (SSM) and System Dynamics (SD)." Systemic Practice and Action Research 18, no. 3 (June 2005): 303–34. http://dx.doi.org/10.1007/s11213-005-4816-7.

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10

WOLSTENHOLME, ERIC F. "System enquiry using system dynamics." International Journal of Systems Science 17, no. 1 (January 1986): 111–20. http://dx.doi.org/10.1080/00207728608926787.

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11

Azizsafaei, Maryam, Amin Hosseinian-Far, Rasoul Khandan, Dilshad Sarwar, and Alireza Daneshkhah. "Assessing Risks in Dairy Supply Chain Systems: A System Dynamics Approach." Systems 10, no. 4 (August 4, 2022): 114. http://dx.doi.org/10.3390/systems10040114.

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Due to the dynamic nature of the food supply chain system, food supply management could suffer because of, and be interrupted by, unforeseen events. Considering the perishable nature of fresh food products and their short life cycle, fresh food companies feel immense pressure to adopt an efficient and proactive risk management system. The risk management aspects within the food supply chains have been addressed in several studies. However, only a few studies focus on the complex interactions between the various types of risks impacting food supply chain functionality and dynamic feedback effects, which can generate a reliable risk management system. This paper strives to contribute to this evident research gap by adopting a system dynamics modelling approach to generate a systemic risk management model. The system dynamics model serves as the basis for the simulation of risk index values and can be explored in future work to further analyse the dynamic risk’s effect on the food supply chain system’s behaviour. According to a literature review of published research from 2017 to 2021, nine different risks across the food supply chain were identified as a subsection of the major risk categories: macro-level and operational risks. Following this stage, two of the risk groups identified first were integrated with a developed system dynamics model to conduct this research and to evaluate the interaction between the risks and the functionality of the three main dairy supply chain processes: production, logistics, and retailing. The key findings drawn from this paper can be beneficial for enhancing managerial discernment regarding the critical role of system dynamics models for analysing various types of risks across the food supply chain process and improving its efficiency.
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12

Dumitru, Nicolae, Dan B. Marghitu, and Nicolae Craciunoiu. "Dynamics of a Pumping System." Applied Mechanics and Materials 823 (January 2016): 85–90. http://dx.doi.org/10.4028/www.scientific.net/amm.823.85.

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In this paper a pumping systems for deep extraction is simulated using SolidWorks and ADAMS. The elastic displacement of a point on the flexible moving cable is analyzed. The dynamics of the system is characterized with phase plane, Poincaré maps, and Lyapunov exponents. The Lyapunovexponents represent the dynamic stability of the system. The largest Lyapunov exponents for three different angular velocity show the chaotic motion of the system
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13

Kozmenko, Olha, and Olha Kuzmenko. "Modeling the stability dynamics of Ukrainian banking system." Banks and Bank Systems 8, no. 2 (August 1, 2013): 55–62. http://dx.doi.org/10.21511/bbs.8(2).2013.01.

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14

Htun, Khin Thanda, and Kyaw Kaung Cho. "Experimental in Structural Dynamics Base Isolation System: Modelling." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 326–35. http://dx.doi.org/10.31142/ijtsrd21704.

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15

Bhardwaj, Shalini, and Yashwant Buke. "Computational Fluid Dynamics Analysis of A Turbocharger System." International Journal of Scientific Research 3, no. 5 (June 1, 2012): 161–64. http://dx.doi.org/10.15373/22778179/may2014/49.

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16

Jasny, Barbara R. "Belief system dynamics." Science 354, no. 6310 (October 20, 2016): 297.4–297. http://dx.doi.org/10.1126/science.354.6310.297-d.

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17

Zakovorotnyi, V. L., and V. S. Bykador. "Cutting-system dynamics." Russian Engineering Research 36, no. 7 (July 2016): 591–98. http://dx.doi.org/10.3103/s1068798x16070182.

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18

Wolstenholme, E. F. "Applying System Dynamics." Transactions of the Institute of Measurement and Control 11, no. 4 (November 1989): 170. http://dx.doi.org/10.1177/014233128901100401.

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19

Giesler, Markus, and Eileen Fischer. "Market system dynamics." Marketing Theory 17, no. 1 (September 19, 2016): 3–8. http://dx.doi.org/10.1177/1470593116657908.

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20

McCauley, Joseph L., and Cornelia M. Küffner. "Economic system dynamics." Discrete Dynamics in Nature and Society 2004, no. 1 (2004): 213–20. http://dx.doi.org/10.1155/s102602260431201x.

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We provide here a qualitative summary of the main ideas from econophysics and finance theory, starting with a thorough criticism of the standard ideas taught in typical economics textbooks. The emphasis is on the Galilean or physicists' approach to market dynamics, as opposed to the standard nonempirical postulatory one.
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21

Rao M., Srinivasa, and V. N. A. Naikan. "Availability modeling of repairable systems using Markov system dynamics simulation." International Journal of Quality & Reliability Management 32, no. 5 (May 5, 2015): 517–31. http://dx.doi.org/10.1108/ijqrm-11-2013-0184.

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Purpose – The purpose of this paper is to propose a novel hybrid approach called as Markov System Dynamics (MSD) approach which combines the Markov approach with system dynamics (SD) simulation approach for availability modeling and to study the dynamic behavior of repairable systems. Design/methodology/approach – In the proposed approach the identification of the single unit repairable system all possible states has been performed by using the Markov approach. The remaining stages of traditional Markov analysis are highly mathematically intensive. The present work proposes a hybrid approach called as MSD approach which combines the Markov approach with SD simulation approach to overcome some of the limitations of Markov process in a simple and efficient way for availability modeling and to study the dynamic behavior of this system. Findings – The proposed framework is illustrated for a single unit repairable system. The worked out example shows the steady state point and also it gives the point, interval and steady state availabilities and also the dynamic behavior of the system. However this methodology can be extended easily for more complex multi-state maintainable systems. The results of the simulation when compared with that obtained by traditional Markov analysis clearly validate the proposed approach as an alternative approach for availability modeling of repairable systems. Practical implications – In many practical situations we require to find the time at which our system reaches steady state conditions for planning maintenance activities. The proposed MSD method in this paper is capable of finding this steady state point very easily. Originality/value – The proposed approach clearly indicates the time at which the system reaches its steady state and calculates the point, interval availabilities for planning maintenance activities. The different parties, i.e., engineers and machine operators, can jointly work with this model in order to understand the dynamic behavior of repairable systems.
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22

Umeno, Akira, Ken-ichiro Shimokura, Takao Kakizaki, and Kenji Kogure. "Dynamic Modeling of Robot Force Control System and Its Application to a Parts Handling Task." Journal of Robotics and Mechatronics 6, no. 4 (August 20, 1994): 312–17. http://dx.doi.org/10.20965/jrm.1994.p0312.

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Dynamic modeling of robot force control systems is investigated in consideration of object dynamics. Several basic dynamics models for robot force control systems are proposed, and related stability issues are discussed. The stability of the force control system deteriorates severely when collocation mode resonance, primarily due to object dynamics, occurs near non-collocated mode resonance due to robot dynamics. The dynamic modeling is applied to a parts handling task, whose conditions focus on gripper force deviation. Manipulator end-effector trajectory planning using the trapezoidal acceleration profile as well as a gripper force control system design to suppress the force deviation are presented to achieve the task. The results obtained indicate that the force control system based on the dynamics models can satisfy the required task conditions.
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23

Lu, Ning, and Jian Mao. "Dynamics Analysis for Periodically Forced Oscillation System." Advanced Materials Research 139-141 (October 2010): 2427–30. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.2427.

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Among various non-smooth dynamic systems, the periodically forced oscillation system with impact is the most common in engineering applications. The dynamics becomes complicate due to the impact against the stops. This paper presented a systematic study on the periodically forced oscillation system with impact. In particular, impulsive differential equation, Poincare map is applied. The proposed model has high numerical accuracy in describing their dynamics. It helps to optimize the design of a commercial product.
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24

Gulati, Navneet, and Eric J. Barth. "Dynamic Modeling of a Monopropellant-Based Chemofluidic Actuation System." Journal of Dynamic Systems, Measurement, and Control 129, no. 4 (October 17, 2006): 435–45. http://dx.doi.org/10.1115/1.2718243.

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This paper presents a dynamic model of a monopropellant-based chemofluidic power supply and actuation system. The proposed power supply and actuation system, as presented in prior works, is motivated by the current lack of a viable system that can provide adequate energetic autonomy to human-scale power-comparable untethered robotic systems. As such, the dynamic modeling presented herein is from an energetic standpoint by considering the power and energy exchanged and stored in the basic constituents of the system. Two design configurations of the actuation system are presented and both are modeled. A first-principle based lumped-parameter model characterizing reaction dynamics, hydraulic flow dynamics, pneumatic flow dynamics, and compressible gas dynamics is developed for purposes of control design. Experimental results are presented that validate the model.
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25

Muzzafar, Asif, and Waseem Khawaja. "Modeling Manufacturing Systems by Integrating System Dynamics and Information System." UCP Management Review 1, no. 1 (December 15, 2016): 34–43. http://dx.doi.org/10.24312/ucpmr010102.

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26

Liu, Ye Jiao, Zhi Chao Tian, and Dong Mei Huang. "System Dynamics Model of Coalmine Safety Management." Applied Mechanics and Materials 353-356 (August 2013): 2381–84. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.2381.

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Based on the dynamic, nonlinear and feedback features of coalmine safety management control process, with the purpose of identifying the complex interdependence relationships of the various elements of coalmine safety management system, system dynamics (SD) is used as a tool to study coalmine safety management and control issues; to elaborate various elements related to safety benefit in the process of dynamic coalmine safety management and the relationships between them. The causal link between those factors and the systematic dynamics flow figure model are established by using the modeling and simulating software which is called VENSIM.
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27

Morcillo, José D., Fabiola Angulo, and Carlos J. Franco. "Analyzing the Hydroelectricity Variability on Power Markets from a System Dynamics and Dynamic Systems Perspective: Seasonality and ENSO Phenomenon." Energies 13, no. 9 (May 9, 2020): 2381. http://dx.doi.org/10.3390/en13092381.

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In this paper, the variations in hydropower generation are addressed considering the seasonality and ENSO (El Niño-Southern Oscillation) episodes. The dynamic hypothesis and the stock-flow structure of the Colombian electricity market were analyzed. Moreover, its dynamic behavior was analyzed by using Dynamic Systems tools aimed at providing deep insight into the system. The MATLAB/Simulink model was used to evaluate the Colombian electricity market. Since we combine System Dynamics and Dynamic Systems, this methodology provides a novel insight and a deeper analysis compared with System Dynamics models and can be easily implemented by policymakers to suggest improvements in regulation or market structures. We also provide a detailed description of the Colombian electricity market dynamics under a broad range of demand growth rate scenarios inspired by the bifurcation and control theory of Dynamic Systems.
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28

AKAZAWA, Kenzo, and Katsuhiko FUJII. "Robotic systems with neuromuscular control system dynamics." Journal of the Robotics Society of Japan 6, no. 3 (1988): 235–39. http://dx.doi.org/10.7210/jrsj.6.235.

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29

Forrester, Jay W. "System dynamics, systems thinking, and soft OR." System Dynamics Review 10, no. 2-3 (1994): 245–56. http://dx.doi.org/10.1002/sdr.4260100211.

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30

Wu, S. T., and K. Youcef-Toumi. "On Relative Degrees and Zero Dynamics From Physical System Modeling." Journal of Dynamic Systems, Measurement, and Control 117, no. 2 (June 1, 1995): 205–17. http://dx.doi.org/10.1115/1.2835181.

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Relative degrees and zero dynamics are intrinsic system properties associated with a given input-output pair. In the design of output tracking controllers, the relative degree and the stability of the zero dynamics of the control plant are usually assumed to be known in advance, and are determined by analyzing the system dynamic equations. With the help of bond graphs and through physical reasoning, a set of rules are proposed in this paper to determine the relative degree and the stability of the zero dynamics for a class of systems independent of the system dynamic equations. The rules establish a connection between these system properties and the physical structures, and are useful guidelines on the adjustment of relative degrees and zero dynamics for the purpose of control design.
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31

Liu, Xiang, Jing-Shan Zhao, and Zhi-Jing Feng. "Compliant dynamics of a rectilinear rear-independent system." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, no. 5 (November 14, 2016): 785–806. http://dx.doi.org/10.1177/0954406216631369.

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The rectilinear rear-independent suspension investigated in this paper could remain the wheel alignment parameters invariable in theory. However, its dynamics is much more complex than that of the existing suspensions because of its redundant constraints in structure. Considering the elasticity of the rectilinear rear-independent suspension, a rigid-flexible half-car dynamic model is established for the first time based on the discrete time transfer matrix method. At the same time, a rigid half-car dynamic model is established as a comparison. The natural frequency characteristics and dynamic response of the rectilinear rear-independent suspension under random road excitations are analyzed and compared with those of rigid half-car dynamic model. The results reveal that the suspension system has apparent influence to the dynamics of vehicle. The wheel alignment parameters will fluctuate within a narrow range which is mainly determined by the rolling vibration of vehicle. And the suspension system could reduce and filter the road excitations with high frequency and small amplitude. This provides a good effect on the ride comfort of vehicle. Dynamics analysis of the rectilinear rear independent suspension reveals that the proposed modeling approach could deal with the dynamics of rigid-flexible multibody systems with redundant constraints effectively.
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32

Mildeová, Stanislava. "System dynamics: discipline for studying complex soft systems." Acta Informatica Pragensia 2, no. 2 (December 31, 2013): 112–21. http://dx.doi.org/10.18267/j.aip.28.

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33

Netto, Winston, Eloy Pena Asensio, S. Meenatchi Sundaram, and C. R. Srinivasan. "LMS Filter Based Frequency Domain System Identification of Mass – Spring – Damper System with Varying Dynamics." International Journal of Mechanics 16 (January 17, 2022): 1–5. http://dx.doi.org/10.46300/9104.2022.16.1.

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All practical and real-time systems are non-linear and dynamic in nature. In the majority of studies associated with systems, it is assumed that the system is linear and the dynamics of the system is remaining constant. Though these assumptions help in easier mathematical formulations of the systems, it also imposes a lot of restrictions on understanding the system completely and its behavior in depth. In this study, the focus is on capturing the varying dynamics of Mass - Spring – Damper system using a frequency domain-based system identification approach. The system identification technique is based on an adaptive filter which is implemented through MATLAB software.
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34

Peck, Simon, and Eric F. Wolstenholme. "System Enquiry: A System Dynamics Approach." Journal of the Operational Research Society 42, no. 10 (October 1991): 906. http://dx.doi.org/10.2307/2583422.

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35

Peck, Simon. "System Enquiry: A System Dynamics Approach." Journal of the Operational Research Society 42, no. 10 (October 1991): 906–7. http://dx.doi.org/10.1057/jors.1991.175.

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36

Lloyd, Bruce. "System enquiry: A system dynamics approach." Long Range Planning 24, no. 2 (April 1991): 123. http://dx.doi.org/10.1016/0024-6301(91)90136-c.

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37

Holmes, Robert K. "System enquiry: A system dynamics approach." European Journal of Operational Research 52, no. 3 (June 1991): 386. http://dx.doi.org/10.1016/0377-2217(91)90176-v.

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38

SUN, KEHUI, and J. C. SPROTT. "DYNAMICS OF A SIMPLIFIED LORENZ SYSTEM." International Journal of Bifurcation and Chaos 19, no. 04 (April 2009): 1357–66. http://dx.doi.org/10.1142/s0218127409023688.

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A simplified Lorenz system with one bifurcation parameter is investigated by a detailed theoretical analysis as well as dynamic simulation, including some basic dynamical properties, Lyapunov exponent spectra, fractal dimension, bifurcations and routes to chaos. The results show that this system has complex dynamics with interesting characteristics.
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Zhong, Shuheng, and Dan Lin. "Evaluation of the Coordination Degree of Coal and Gas Co-Mining System Based on System Dynamics." Sustainability 14, no. 24 (December 8, 2022): 16434. http://dx.doi.org/10.3390/su142416434.

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Coal and gas co-mining is one of the green mining technologies in coal mines. Coal and gas co-mining can reduce environmental pollution and supply-side carbon emissions from the coal industry. It has an important role to play in achieving the goal of carbon peaking and carbon neutrality. The perfect state of safety production and economic efficiency is a “win-win” situation. Therefore, it is of great theoretical and practical importance to evaluate the safety and economic coordination of coal and gas co-mining systems. This study used a system dynamics approach to analyze and evaluate the coordination of coal and gas co-mining systems in a dynamic simulation. A case study was conducted using the Zhuxianzhuang coal mine as an example. The results showed that the coordination degree of the coal and gas co-mining system exhibited dynamic changes. The average value of the system coordination degree is 0.790, which is a good coordination degree. This demonstrates that the system dynamics method is feasible for evaluating the coordination degree of the coal and gas co-mining system. The system dynamics evaluation model can effectively simulate the dynamic changes of different variable factors in the co-mining system. Therefore, these research results can provide corresponding optimization recommendations for practical production needs.
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40

Sun, Ao, and Ting Qiang Yao. "Modeling and Analysis of Planar Multibody System Containing Deep Groove Ball Bearing with Slider-Crank Mechanism." Advanced Materials Research 753-755 (August 2013): 918–23. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.918.

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With the rotating machinery system developing toward high speed, high precision, and high reliability direction, ball bearing dynamic performance have a critical impact to dynamics characteristics of support system. Based on multibody dynamics theory and contact dynamics method,and considering the ball and ring raceway 3 d dynamic contact relationship, using ADAMS dynamics analysis software to establish the multibody dynamics model of crank slider mechanism containing ball bearing dynamic contact relationship.The simulation analysis of the dynamic performance of the ball bearing and the crank slider mechanism dynamics response, and the influence of dynamic performance for considering ball bearing rotating mechanical system dynamics analysis provides a reference method.The simulation analysts the influence of dynamic performance of the ball bearing to the crank slider mechanism dynamics response. It provides a reference method for rotating mechanical system dynamics analysis considering the dynamic performance of the ball bearing.
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41

Bharat, Kunal, Satvant Kaur Saini, Karan Khosla, Swapan Mehra, and N. Ravindra. "System Dynamics Modelling for Forest Fuelwood Management in India." AMBIENT SCIENCE 2, no. 2 (October 2015): 1–7. http://dx.doi.org/10.21276/ambi.2015.02.2.ta01.

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42

Suda, Yoshihiro. "1K11 Vehicle System Dynamics and Control for Sustainable Transportation." Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _1K11–1_—_1K11–15_. http://dx.doi.org/10.1299/jsmemovic.2010._1k11-1_.

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43

Irfani, Dian Prama, Dermawan Wibisono, and Mursyid Hasan Basri. "Design of a logistics performance management system based on the system dynamics model." Measuring Business Excellence 23, no. 3 (October 22, 2019): 269–91. http://dx.doi.org/10.1108/mbe-01-2019-0008.

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Purpose Logistics systems used in companies that perform multiple roles are expected to be able to manage conflicting objectives. Nevertheless, the literature suggests that many existing logistics performance measurement system (PMS) frameworks are not optimized to provide mechanisms to reveal dynamic relationships between conflicting performance indicators. The purpose of this paper is to develop a new logistics PMS by linking the system dynamics model with a set of balanced performance indicators. Design/methodology/approach The logistics PMS is developed through a literature review and case study of a company that plays multiple roles. The interrelationships between logistics factors and their links to end results are modeled in diagrams through in-depth interviews with stakeholders. The developed model is then used to build a simulation tool to analyze factors that cause poor performance. Findings The new logistics PMS developed by incorporating system dynamics offers decision makers ways to identify dynamic relationships among factors and conflicting indicators, in turn helping them to understand holistic logistics performance, objectively analyze why logistics systems perform in a certain way and foster a common shared view. Practical implications Stakeholders of companies that play multiple roles can use the new PMS model to comprehensively evaluate the performance of logistics systems. In addition, the increased visibility of logistics systems may support decision-making while preventing local optimization. Originality/value A logistical PMS based on the system dynamics model for managing logistics systems in companies performing multiple roles has not yet been identified. This paper fills this theoretical gap and contributes to the academic literature by proposing a novel PMS model based on the system dynamics model to address the limitations of existing PMS frameworks.
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Milić Beran, Ivona. "SYSTEM-DYNAMIC MODELING OF THE IMPACT OF SOCIAL CAPITAL ON ECONOMIC GROWTH." DIEM: Dubrovnik International Economic Meeting 6, no. 1 (September 2021): 25–32. http://dx.doi.org/10.17818/diem/2021/1.3.

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This paper presents a qualitative and quantitative system-dynamic modeling of the impact of social capital on economic growth. Social capital is the most problematic of all the concepts that determine progress. On a broad conceptual level, there is agreement about the importance of social capital, which has been used to explain differences in progress among nations with similar natural, human and physical capital. Recent research suggests that it is more important to include an explanation of the interaction of economic actors and their organization when measuring progress than to measure progress without the influence of social capital. The purpose of this paper is to develop a system-dynamic model of the impact of social capital on economic growth that will enable better understanding and management of social capital. In order to build a system dynamics model, the paper will: provide an analysis and overview of social capital and system dynamics; develop a system dynamics structural and mental-verbal model of the impact of social capital on economic growth; and develop a mathematical model of economic growth. This will provide a practical insight into the dynamic behavior of the observed system, i.e., analyzing economic growth and observing the mutual correlation between individual parameters. Keywords: social capital, economic growth, system dynamics, structural model
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Kojima, Masakazu, and Yoshihisa Niimura. "Stepping Motored System Dynamics." Journal of Vibration and Acoustics 108, no. 3 (July 1, 1986): 354–61. http://dx.doi.org/10.1115/1.3269350.

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Stepping motors have several advantages over other motor systems, especially in the field of digital control system; however, they also have a disadvantage in that the vibrational exciting source exists within their driving principle. This study deals with this vibrational problem of stepping motored machine system in consideration of the interaction between mechanical and electrical parts of the system. In this report one basic mathematical modeling, i.e., Spanworm equation, is proposed for analysis and applied to some practical examples. The calculational results agree well with measured results. Consequently, to install the stepping motors in a machine system, the usefulness of Spanworm equation is endorsed.
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Brezinski, Lawrence J. "2 Systems Engineering, Systems Thinking, System Dynamics: Complementary Viewpoints." INCOSE International Symposium 9, no. 1 (June 1999): 1183–87. http://dx.doi.org/10.1002/j.2334-5837.1999.tb00290.x.

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Mokgohloa, Kgabo, Mukondeleli Grace Kanakana-Katumba, Rendani Wilson Maladzhi, and Sbusiso Xaba. "Postal Digital Transformation Dynamics—A System Dynamics Approach." Systems 11, no. 10 (October 10, 2023): 508. http://dx.doi.org/10.3390/systems11100508.

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The key motivation of the study was to explore and enlarge our understanding of the factors that inhibit and drive the performance of the postal sector in a dynamic setting in the context of Southern Africa. This study was prompted by the unsatisfactory performance of the postal sector in Southern Africa as measured by the Integrated Index on Postal Development (2IPD), an index used by the Universal Postal Union to measure the performance of posts across the globe on dimensions of reliability, resilience, reach, and relevance. Postal operators across the world are faced with inescapable business model disruptions steered by the digital era, and Southern Africa is not an exception. System dynamics was adopted as a modelling approach to simulate the interaction of the stocks (digital culture, operations capability, adoption, and financial performance). The system dynamics approach revealed that the postal sector can be described as a complex phenomenon due to intricate interdependent variables that interact in a dynamic setting. The complex nature of the postal sector is further amplified by multiple feedback systems of non-linear relations. The results of the study point to the complex interaction of these variables that inhibit and drive the digital transformation and competitiveness of the postal sector. It is by grasping these complexities that decision-makers and policymakers can exploit the insights revealed by this research to direct the postal sector toward a sustainable future.
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Duan, Yue Chen, Xia Li, Wei Wei Zhang, Guo Ning Liu, and Ting Ting Wang. "Impact Dynamics of Flexible Multibody System Based on Continuous Contact Force Method." Applied Mechanics and Materials 744-746 (March 2015): 1628–34. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.1628.

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The impact dynamics of spatial multi-link flexible multibody system is studied based on the continuous contact force method (CCFM). According to the rigid-flexible coupling dynamic theory of flexible multibody system, the rigid-flexible coupling continuous dynamic equations of the system are established by using the recursive Lagrange method. The impact dynamic equations of the system are stylized derived on the use of CCFM basing on the nonlinear spring-damper model. The contact separation criterion is given to achieve the conversion and calculation of the dynamic model for the system at different stages. An impact dynamic simulation example for a two-link planar flexible multibody system is given, as well as the global dynamic response. The results show that the impact dynamic solving method based on CCFM can be used for the global impact dynamics of multi-link flexible multibody systems. The dynamic behavior of the system changes dramatically during the impact process. The large overall motion, the small deformation motion and the impact effect are coupled.
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Whalley, R., and A. Abdul-Ameer. "Ventilation system airflow dynamics." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 224, no. 3 (March 25, 2010): 305–20. http://dx.doi.org/10.1243/09596518jsce960.

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Ku, Y. H. "Electric power system dynamics." Journal of the Franklin Institute 321, no. 3 (March 1986): 190–91. http://dx.doi.org/10.1016/0016-0032(86)90010-4.

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