Academic literature on the topic 'Structure diagram (SD)'

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Journal articles on the topic "Structure diagram (SD)"

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Schuh, Holly B., Maria W. Merritt, Takeru Igusa, Bruce Y. Lee, and David H. Peters. "Examining the structure and behavior of Afghanistan’s routine childhood immunization system using system dynamics modeling." International Journal of Health Governance 22, no. 3 (2017): 212–27. http://dx.doi.org/10.1108/ijhg-04-2017-0015.

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Purpose The purpose of this paper is to demonstrate how public health and systems science methods can be combined to examine the structure and behavior of Afghanistan’s routine childhood immunization system to identify the pathways through which health system readiness to deliver vaccination services may extend beyond immunization outcomes. Design/methodology/approach Using findings from an ecological study of Afghanistan’s immunization system and a literature review on immunization program delivery, the routine immunization system was mapped using causal loop diagrams. Next, a stock-and-flow diagram was developed and translated to a system dynamics (SD) model for a system-confirmatory exercise. Data are from annual health facility assessments and two cross-sectional household surveys. SD model results were compared with measured readiness and service outcomes to confirm system structure. Findings Readiness and demand-side components were associated with improved immunization coverage. The routine immunization system was mapped using four interlinking readiness subsystems. In the SD model, health worker capacity and demand-side factors significantly affected maternal health service coverage. System readiness components affected their future measures mostly negatively, which may indicate that the reinforcing feedback drives current system-structured behavior. Originality/value The models developed herein are useful to explore the potential impact of candidate interventions on service outcomes. This paper documents the process through which public health and systems investigators can collaboratively develop models that represent the feedback-driven behavior of health systems. Such models allow for more realistically addressing health policy and systems-level research questions.
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Tang, Juanjuan, Mengjun Wang, Xiaoying Tang, and Zheng He. "The Promotion Strategy Analysis for Green Degree of Railway Engineering Based on a System Dynamic Flow Diagram." Journal of Environmental and Public Health 2022 (July 14, 2022): 1–15. http://dx.doi.org/10.1155/2022/2579922.

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This article made a system dynamics flow diagram (SD flow diagram) to describe the green railway engineering (GRE) system, which provides a theoretical basis for discussing the source and change process of the green degree of railway engineering(GDR) and also provides a practical basis for accurate policy implementation and evaluation promotion of GRE management. Based on the definition of GDR and using “input-output” relationship to analyze system structure of GRE, set two green goals of environmental and resource cost decreases as the clue, deconstructed practice process based on the principle of construction to form GRE system dynamic flow diagram, which aims to reveal the key influencing factors and promotion path of GDR. The results of the research show that (1) the green schemes set the foundation of GDR, including 3 schemes of green planning, green design, green construction, and determine the expected control values (VE) of 4 status, namely ecological damage degree, environmental pollution degree, land occupation degree, and resources consume degree. (2) The deviation of expected control values (VE) and actual control values (VA) from 4 status is the premise of whether the GDR needs to be optimized or improved, and 2 practice achievements of green knowledge innovation and green culture creation provided different promotion paths for GDR. (3) According to the SD flow diagram constructed by research, the 3 schemes are influenced by regional ecological carrying capacity, social material resource reserve, green knowledge reserve, green talent reserve , reasonable goals setting, strengthening preliminary research, making full use of resources, deepening the connection of procedures, and so on are conducive to build a foundation for GDR. (4) The 4 status are directly controlled by seven rate variables, which promote the dynamic optimization of GDR by technology, equipment, institution management, and behavior management. The SD flow diagram of GRE provides 2 contributions. The first provides an analytical basis for the study of the promotion strategy of GDR, and the second provides a model basis for further quantitative study of GDR.
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Omar, Erradi, Khaldi Maha, Barhone Jamal, Erradi Mohamed, and Khaldi Mohamed. "Modelling of Educational Scenarios Based on the Coupling of Explicit Teaching and Guided Discovery Learning Approaches in an E-Learning Context." RA JOURNAL OF APPLIED RESEARCH 08, no. 05 (2022): 412–21. https://doi.org/10.5281/zenodo.6571047.

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ABSTRACT The objective of this article is to present and illustrate an educational engineering approach relating to the use of structure (SD), activity (AD) and Vee (V) diagrams in the design and modeling of educational scenarios. in alignment with a model of hybrid pedagogical approach: explicit - by discovery strongly requested recently in the practices of distance and online education. We first analyze the basic pedagogical approach of distance education, then we present and illustrate how to use these diagrams in scriptwriting.
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OMAR, ERRADI, KHALDI MAHA, BARHONE JAMAL, ERRADI MOHAMED, and KHALDI MOHAMED. "MODELLING OF EDUCATIONAL SCENARIOS BASED ON THE COUPLING OF EXPLICIT TEACHING AND GUIDED DISCOVERY LEARNING APPROACHES IN AN E-LEARNING CONTEXT." RA Journal of Applied Research 08, no. 05 (2022): 412–21. https://doi.org/10.5281/zenodo.6572926.

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ABSTRACT   The objective of this article is to present and illustrate an educational engineering approach relating to the use of structure (SD), activity (AD) and Vee (V) diagrams in the design and modeling of educational scenarios. in alignment with a model of hybrid pedagogical approach: explicit - by discovery strongly requested recently in the practices of distance and online education. We first analyze the basic pedagogical approach of distance education, then we present and illustrate how to use these diagrams in scriptwriting.
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Veldhuis, Guido A., Teun Sluijs, Marianne H. J. van Zwieten, Jildau Bouwman, Noortje M. Wiezer, and Heleen M. Wortelboer. "A Proof-of-Concept System Dynamics Simulation Model of the Development of Burnout and Recovery Using Retrospective Case Data." International Journal of Environmental Research and Public Health 17, no. 16 (2020): 5964. http://dx.doi.org/10.3390/ijerph17165964.

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The phenomenon of burnout is a complex issue, which despite major efforts from researchers and organizations remains hard to prevent. The current literature highlights an increasing global prevalence of employees that are dealing with burnout. What has been largely missing is a more systemic, dynamic, and personal perspective on the interactions of the key determinants of burnout. Burnout can be seen as the outcome of a complex system involving feedback loops between individual mental models, individual behavior, and external social influences. Understanding the feedback loops involved may enable employees and organizations to intervene in burnout trajectories early and effectively. System dynamics (SD) modeling is a methodology that can describe the structure and behavior of a complex system. The current paper describes the development of an SD model of burnout. First, an expert- and literature-informed causal loop diagram (CLD) of burnout is developed. Then, a novel approach is developed to collect personal retrospective scenario data. Finally, the CLD and data are translated into a quantitative SD model. The potential of the SD model is illustrated by simulating the behavior of three realistic personas during the onset of and recovery from burnout. The process of development of an SD model of burnout is presented and the strengths and limitations of the approach are discussed.
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Choi, Kanghwa. "A system perspective on revenue sharing in the mobile value chain: an evidence from China mobile video ecosystem." Supply Chain Management: An International Journal 12, no. 3 (2018): 136–52. http://dx.doi.org/10.1108/scm-12-2017-0401.

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Purpose Hyperconnectivity and supercooperation among partners within the mobile value chain are crucial factors for sustainable growth of the mobile ecosystem. This study aims to identify the complex structure of hyperconnectivity and supercooperation underlying revenue sharing practices and the actions and reactions of Chinese mobile video triads. Design/methodology/approach This study uses the causal loop diagram and system dynamics simulation to demonstrate the feedback causal structure wherein the revenue sharing (RS) rule adjustments trigger interactions among participants (e.g., MNOs, SPs and CPs) in mobile video service triads, leading to fluctuations in the number of mobile video users and total revenue in the mobile video value chain. Findings Change of RS rules among value chain participants is an incentive for achieving the sustainability of the mobile ecosystem, as examined using a system dynamics (SD) simulation. However, from the perspective of a tri-partite mobile value chain, the “accidental adversary” system archetype caused by adjustment of RS rules has an unintended negative impact on counterparts in the mobile ecosystem value chain. Originality/value This study analyzes a complex feedback causal structure based on structural interdependencies among growth, limiting and relaxing loops in the Chinese mobile video ecosystem. The result of SD simulation suggests strategic alternatives such as the “growth and underinvestment” systems archetype to overcome “limits to growth”. Moreover, this study explores the accidental adversary archetype in complex and complicated mobile service triads as an impediment to achieving sustainability of the mobile ecosystem.
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Lu, Jing Zhou, Xu Zhu, Lin Chen, Bo Jin, Sung Han Sim, and Billie F. Spencer. "Modal Analysis of Simply Supported Plate Using Wireless Smart Sensor Networks." Applied Mechanics and Materials 94-96 (September 2011): 1022–25. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.1022.

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The unique features offered by wireless smart sensor networks (WSSN), including high integration, wireless communication, on-board computation, small in size, simple installation, and cost effectiveness, facilitate a new paradigm to structural health monitoring (SHM) for civil infrastructure. The paper is an example use of WSSN and the Illinois SHM Project toolsuite. An experimental study of modal analysis of a simply supported plate structure has been undertaken. The eigensystem realization algorithm (ERA) in conjunction with natural excitation technique (NExT) and stabilization diagram (SD) is used to extract the modal information, including natural frequency, damping ratio and mode shapes, from the ambient vibration test data. The results show that WSSN designed for SHM application utilizing a smart sensor platform suited to high-frequency, high-fidelity data acquisition and demanding data processing algorithms.
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Sammen, Saad Sh, Mohammad Ali Ghorbani, Anurag Malik, et al. "Enhanced Artificial Neural Network with Harris Hawks Optimization for Predicting Scour Depth Downstream of Ski-Jump Spillway." Applied Sciences 10, no. 15 (2020): 5160. http://dx.doi.org/10.3390/app10155160.

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A spillway is a structure used to regulate the discharge flowing from hydraulic structures such as a dam. It also helps to dissipate the excess energy of water through the still basins. Therefore, it has a significant effect on the safety of the dam. One of the most serious problems that may be happening below the spillway is bed scouring, which leads to soil erosion and spillway failure. This will happen due to the high flow velocity on the spillway. In this study, an alternative to the conventional methods was employed to predict scour depth (SD) downstream of the ski-jump spillway. A novel optimization algorithm, namely, Harris hawks optimization (HHO), was proposed to enhance the performance of an artificial neural network (ANN) to predict the SD. The performance of the new hybrid ANN-HHO model was compared with two hybrid models, namely, the particle swarm optimization with ANN (ANN-PSO) model and the genetic algorithm with ANN (ANN-GA) model to illustrate the efficiency of ANN-HHO. Additionally, the results of the three hybrid models were compared with the traditional ANN and the empirical Wu model (WM) through performance metrics, viz., mean absolute error (MAE), root mean square error (RMSE), coefficient of correlation (CC), Willmott index (WI), mean absolute percentage error (MAPE), and through graphical interpretation (line, scatter, and box plots, and Taylor diagram). Results of the analysis revealed that the ANN-HHO model (MAE = 0.1760 m, RMSE = 0.2538 m) outperformed ANN-PSO (MAE = 0.2094 m, RMSE = 0.2891 m), ANN-GA (MAE = 0.2178 m, RMSE = 0.2981 m), ANN (MAE = 0.2494 m, RMSE = 0.3152 m) and WM (MAE = 0.1868 m, RMSE = 0.2701 m) models in the testing period. Besides, graphical inspection displays better accuracy of the ANN-HHO model than ANN-PSO, ANN-GA, ANN, and WM models for prediction of SD around the ski-jump spillway.
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Ghufran, Maria, Khurram Iqbal Ahmad Khan, Muhammad Jamaluddin Thaheem, Abdur Rehman Nasir, and Fahim Ullah. "Adoption of Sustainable Supply Chain Management for Performance Improvement in the Construction Industry: A System Dynamics Approach." Architecture 1, no. 2 (2021): 161–82. http://dx.doi.org/10.3390/architecture1020012.

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Sustainable supply chain management (SSCM) involves the managing of information, materials, cash flows, and collaboration among enterprises along the supply chain, integrating sustainable development goals. This research paper aims to determine challenges in SSCM adoption and to address related complexity using the system dynamics (SD) approach utilizing modeling and simulation techniques. This research identified challenges from the literature using content analysis. Causality among these identified challenges was determined using interviews and questionnaire surveys that led to the development of a causal loop diagram (CLD), which was used in the development of the SD model. Among the 19 shortlisted variables, CLD had IV reinforcing and II balancing loops. Moreover, CLD was used to build an SD model with two stocks, and a new stock named ‘project performance’ was added to envisage the cumulative impact of all stocks. The model was simulated for five years, and the results predict that the lack of top management commitment and corporate social responsibility adversely affects project performance. This implies that there is a need to improve numerous factors, in particular corporate social responsibility and top management commitment, which would lead to the adoption of SSCM, thus leading to a performance improvement for the construction industry (CI). The model was validated using boundary adequacy, structure, and parametric verification tests, which showed that the developed model is logical and approximately replicates the industry’s actual system. The research findings will help the CI practitioners to adopt sustainability principles in terms of the supply chain and will not only enhance productivity and performance but will also help in the minimization of delays, promote long-term relations, and reduce communication gaps and project complexities.
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Sitorus, Jefri H., and Wina Yusnaeni. "Perancangan User Interface Sistem Informasi Akademik Sekolah Dasar (Siakad) Menggunakan Metode Waterfall." Simpatik: Jurnal Sistem Informasi dan Informatika 1, no. 2 (2021): 98–107. http://dx.doi.org/10.31294/simpatik.v1i2.671.

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Dalam proses kegiatan akademik yang berjalan di SD PETRA CIKAMPEK saat ini banyak dilakukan dengan paper based atau menggunakan software Microsoft Excel sebagai pendukung berbagai kegiatan akademik yang dilakukan, sehingga memungkinkan proses tersebut kurang efektif dan sering terjadi kesalahan. Tujuan penelitian ini untuk menghasilkan sebuah website sistem informasi akademik sebagai media pengembangan sistem akademik dan mempermudah admin, guru atau bahkan siswa dalam meningkatkan sistem akademik pada sekolah. Dalam penelitian ini metode pengumpulan data menggunakan Metode observasi dan Studi Kepustakaan. Pendekatan yang digunakan pada pembuatan sistem ini yaitu model waterfall sebagai metode pengembangan perangkat lunak. Kebutuhan sistem pada pembuatan sistem informasi akademik ini diantaranya admin yang memiliki hak akses yang dapat melakukan proses input data master hingga proses data transaksi. Berbeda dengan hak akses pada guru, siswa dan pengguna baru memiliki menu masing-masing yang dapat diakses pada halaman dashboardnya. Perancangan program menggunakan rancangan database dalam bentuk gambar Entity Relationship Diagram (ERD) dan Logical Record Structure (LRS) serta pembuatan database pada aplikasi MySQL dan bahasa pemograman yang digunakan berupa PHP framework Laravel.
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Conference papers on the topic "Structure diagram (SD)"

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Protic, Sonja M., and Manfred Gronalt. "A generic terminal macro simulation model for measuring operational performance." In The 21st International Conference on Harbor, Maritime and Multimodal Logistic Modeling & Simulation. CAL-TEK srl, 2019. http://dx.doi.org/10.46354/i3m.2019.hms.007.

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Strategic decision making linked to the development of intermodal transport terminals is marked by high complexity. Terminal operators need to cope with uncertainties and potential cascading impacts of decisions which were taken a long time ago. The aim of this paper is to present a generic System Dynamics (SD) model of a terminal’s operational performance. SD is used to capture a holistic view on a dynamic system, which is characterized by complex feedback structures, nonlinear processes, uncertainties and time delays. After introducing the qualitative Causal Loop Diagram (CLD), the underlying hypotheses are transposed into a quantitative Stock-and-Flow (S&F) model. The main components and its input data are explained. The generic model can be used as a decision support tool to bridge the gap from a detailed view to an understanding of longterm consequences. It offers multiple areas of application, which are briefly discussed.
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