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Relevant bibliographies by topics / Dynamic process

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Academic literature on the topic 'Dynamic process'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Dynamic process"

1

Flores-Jimeno, Rocío, and Inmaculada Jimeno-García. "Dynamic analysis of different business failure process." Problems and Perspectives in Management 15, no. 2 (2017): 486–99. http://dx.doi.org/10.21511/ppm.15(si).2017.02.

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This work is framed in the research of business failure. We examine a method of analyzing the dynamics of financial failure. The authors examine a method of analyzing the dynamics of financial failure, because our goal is to analyze how the economic and financial indicators show the risk of failure in a group of companies. Using a sample of 163 companies declared bankrupt or dissolved, the authors show how to depict company trajectories of behavior and movement to terminal failure. They analyze these trajectories to find and describe empirical evidence of the different dynamics of bankruptcy.

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f, f. "Designing for Dynamics in Dynamic Narrative Inquiry." Asian Qualitative Inquiry Association 2, no. 2 (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 a

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Fine, Charles H., and Evan L. Porteus. "Dynamic Process Improvement." Operations Research 37, no. 4 (1989): 580–91. http://dx.doi.org/10.1287/opre.37.4.580.

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Foley, James, and Charles McMath. "Dynamic Process Visualization." IEEE Computer Graphics and Applications 6, no. 3 (1986): 16–25. http://dx.doi.org/10.1109/mcg.1986.276628.

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Baldea, Michael, and Thomas F. Edgar. "Dynamic process intensification." Current Opinion in Chemical Engineering 22 (December 2018): 48–53. http://dx.doi.org/10.1016/j.coche.2018.08.003.

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Marievskaya, Natalia Yevgenyevna. "Screenplay as a Dynamic Process Model." Journal of Flm Arts and Film Studies 6, no. 2 (2014): 22–35. http://dx.doi.org/10.17816/vgik6222-35.

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The article problematizes the applicability of the concept formation, developed by the nonlinear dynamics' theory, to the field of study of a narrative text. Cinema work is considered as a dynamic process model. It is shown that every narrative text implements nonlinear dynamics as it comprises a point of explosion.

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Seethaler, R. J., and I. Yellowley. "Process control and dynamic process planning." International Journal of Machine Tools and Manufacture 40, no. 2 (2000): 239–57. http://dx.doi.org/10.1016/s0890-6955(99)00054-1.

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Capón-García, Elisabet, Gonzalo Guillén-Gosálbez, and Antonio Espuña. "Integrating process dynamics within batch process scheduling via mixed-integer dynamic optimization." Chemical Engineering Science 102 (October 2013): 139–50. http://dx.doi.org/10.1016/j.ces.2013.07.039.

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Heimann, Peter, Carl-Arndt Krapp, Bernhard Westfechtel, and Gregor Joeris. "Graph-Based Software Process Management." International Journal of Software Engineering and Knowledge Engineering 07, no. 04 (1997): 431–55. http://dx.doi.org/10.1142/s0218194097000254.

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Software process dynamics challenge the capabilities of process-centered software engineering environments. Dynamic task nets represent evolving software processes by hierarchically organized nets of tasks which are connected by control, data, and feedback flows. Project managers operate on dynamic task nets in order to assess the current status of a project, trace its history, perform impact analysis, handle feedback, adapt the project plan to changed product structures, etc. Developers are supported through task agendas and provision of tools and documents. Chained tasks may be executed in p

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Greenberg, Steven. "Speech: A Dynamic Process." Journal of the Acoustical Society of America 144, no. 6 (2018): 3210. http://dx.doi.org/10.1121/1.5082302.

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Dissertations / Theses on the topic "Dynamic process"

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Quante, Jochen. "Dynamic object process graphs : Dissertation /." Münster : Verl.-Haus Monsenstein und Vannerdat, 2009. http://d-nb.info/994328753/04.

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Mahon, Michael John. "Dynamic process simulation of zinc electrowinning." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/56366.

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Zinc electrowinning is the final aqueous processing step in the production of metallic zinc. It is a complex process that is difficult to control and monitor. This thesis seeks to develop a time transient process simulation of zinc electrowinning to aid in controlling and monitoring. Based on reported models of zinc electrowinning, and other electrowinning processes, a dynamic simulation of a zinc electrowinning cell capable of representing time-based effects was developed. The new model incorporates more sophisticated estimations of electrolyte activity using Pitzer parameters. Further, recen

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Akwei, Cynthia A. "The process of creating dynamic capabilities." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/7869.

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The concept of dynamic capability (DC) is receiving significant attention from scholars in strategy and organisation research. However, most of the research is conceptual in nature. In this thesis, the process of how DCs are created in two firms is examined using the grounded theory methodology (GTM) with the aim of developing a substantive theory of DC creation. Data were collected using theoretical sampling, and unstructured and semi-structured interviews. These data were then analysed using the constant comparison method to identify and explain the process through which DCs are created. The

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Mulder, Pieter. "Statistical process control of dynamic processes." Thesis, University of Newcastle Upon Tyne, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289209.

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Yang, Xiaoyan. "Dynamic simulation of 3D weaving process." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/18970.

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Doctor of Philosophy<br>Department of Mechanical and Nuclear Engineering<br>Youqi Wang<br>Textile fabrics and textile composite materials demonstrate exceptional mechanical properties, including high stiffness, high strength to weight ratio, damage tolerance, chemical resistance, high temperature tolerance and low thermal expansion. Recent advances in weaving techniques have caused various textile fabrics to gain applications in high performance products, such as aircrafts frames, aircrafts engine blades, ballistic panels, helmets, aerospace components, racing car bodies, net-shape joints and

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Bezuidenhout, Leon Christo. "Detecting change in nonlinear dynamic process systems." Thesis, Stellenbosch : University of Stellenbosch, 2004. http://hdl.handle.net/10019.1/16258.

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Thesis (MScIng)--University of Stellenbosch, 2004.<br>ENGLISH ABSTRACT: As result of the increasingly competitive performance in today’s industrial environment, it has become necessary for production facilities to increase their efficiency. An essential step towards increasing the efficiency of these production facilities is through tighter processes control. Process control is a monitoring and modelling problem, and improvements in these areas will also lead to better process control. Given the difficulties of obtaining theoretical process models, it has become important to identify mod

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Shi, Ruijie. "Subspace identification methods for process dynamic modeling /." *McMaster only, 2001.

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Iketubosin, P. P. "Studies on non-linear dynamic process monitoring." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/7455.

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Owing to the numerous benefits of process monitoring, the subject has attracted a lot of attention in the last two decades. Process monitoring is an art of identifying abnormal deviations in a process from the normal operating condition using various techniques. Generally, the development of these monitoring techniques is geared towards applying these techniques to industrial processes. In addition, most industrial processes are dynamic and non-linear in nature. Therefore, in the development of the monitoring algorithms, the dynamic as well as the non-linear properties of the plant should be t

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Maffeis, Sergio. "Dynamic Web data : a process algebraic approach." Thesis, Imperial College London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436321.

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Ng, Koon-hung, and 吳冠雄. "Dynamic process planning for flexible manufacturing cells." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31240823.

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Books on the topic "Dynamic process"

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Georgiadis, Michael C., Julio R. Banga, and Efstratios N. Pistikopoulos. Dynamic process modeling. Wiley-VCH, 2011.

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Georgiadis, Michael C. Dynamic process modeling. Wiley-VCH, 2011.

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Plattfaut, Ralf. Process-Oriented Dynamic Capabilities. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03251-1.

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Cosby, Courtney. Case management: A dynamic process. Edited by Emergency Nurses Association. Emergency Nurses Association, 1996.

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universitet, Københavns, ed. Acute strokes: A dynamic process. Lægeforeningens Forlag, 2007.

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L, Tuttle Donald, Maginn John L. 1940-, and Institute of Chartered Financial Analysts., eds. Managing investment portfolios: A dynamic process. 2nd ed. Warren, Gorham & Lamont, 1990.

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Dumais, Guy. Geographic concentration as a dynamic process. National Bureau of Eonomic Research, Inc., 1997.

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L, Tuttle Donald, Maginn John L. 1940-, and Institute of Chartered Financial Analysts., eds. Managing investment portfolios.: A dynamic process. Warren, Gorham & Lamont, 1985.

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1940-, Maginn John L., ed. Managing investment portfolios: A dynamic process. 3rd ed. John Wiley & Sons, 2007.

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E, Schiesser W., ed. Dynamic modeling of transport process systems. Academic Press, 1992.

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Book chapters on the topic "Dynamic process"

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Faísca, Nuno P., Konstatinos I. Kouramas, Berç Rustem, and Efstratios N. Pistikopoulos. "Dynamic Programming." In Process Systems Engineering. Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527631209.ch7.

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Adams, Michael. "Dynamic Workflow." In Modern Business Process Automation. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03121-2_4.

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Narciso, Diogo, Nuno Faísca, Konstantinos Kouramas, and Efstratios Pistikopoulos. "Parametric Dynamic Optimization." In Process Systems Engineering. Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527631209.ch14.

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Chaves, Iván Darío Gil, Javier Ricardo Guevara López, José Luis García Zapata, Alexander Leguizamón Robayo, and Gerardo Rodríguez Niño. "Dynamic Process Analysis." In Process Analysis and Simulation in Chemical Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14812-0_8.

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Ge, Zhiqiang, and Zhihuan Song. "Dynamic Process Monitoring." In Advances in Industrial Control. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4513-4_10.

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Vomberg, Arnd. "Dynamic Pricing Process." In Digital Pricing Strategy. Routledge, 2023. http://dx.doi.org/10.4324/9781003226192-5.

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Seames, Wayne. "Process Dynamic Analysis." In Designing Controls for the Process Industries, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9781003366881-12.

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Aldrich, Chris, and Lidia Auret. "Dynamic Process Monitoring." In Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5185-2_7.

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Behrens, Bernd-Arno, Sven Hübner, Hendrik Wester, Daniel Rosenbusch, and Philipp Müller. "Dynamic Process Forces." In Lecture Notes in Production Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61902-2_5.

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Corriou, Jean-Pierre. "Dynamic Modelling of Chemical Processes." In Process Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_1.

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Conference papers on the topic "Dynamic process"

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Medici, Ada Robinson, Mohammad Reza Boskabadi, Pedram Ramin, Seyed Soheil Mansouri, and Stavros Papadokonstantakis. "Dynamic Life Cycle Assessment in Continuous Biomanufacturing." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.193590.

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This work introduces a Python-based interface that couples cradle-to-gate Life Cycle Assessment (LCA) with advanced process simulations in continuous biomanufacturing, resulting in dynamic process inventories and thus to dynamic LCA (dLCA). The open-source Brightway2.5 framework is used to dynamically track environmental inventories of the foreground process and LCA indicators (e.g. damage to ecosystems according to ReCiPE 2016) from the v3.10 cut-off ecoinvent database. The framework is applied to KTB1, a dynamic MATLAB�Simulink benchmark model of continuous Lovastatin production. 580 data po

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Liu, Hanyang, Yifei Wang, Minghe Wu, and Jun Liu. "Dynamic Process of Power Grid Cascading Failure." In 2024 3rd International Conference on Power Systems and Electrical Technology (PSET). IEEE, 2024. https://doi.org/10.1109/pset62496.2024.10808695.

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Mexis, Konstantinos, Stefanos Xenios, Nikolaos Trokanas, and Antonis Kokossis. "A Physics-Informed Approach to Dynamic Modeling and Parameter Estimation in Biotechnology." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.122347.

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The increasing complexity of industrial biotechnology demands advanced modeling techniques capable of capturing the intricate dynamics of bioreactors. Traditional regression-based and empirical methods often fall short when confronted with the highly nonlinear behavior and limited experimental data characteristic of bioprocesses. Addressing these challenges requires a more intelligent approach�one that leverages domain knowledge to model complex bioprocess dynamics effectively, even with sparse data, while maintaining interpretability and robustness. In this study, we introduce a process-infor

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Hoffmann, Christian, Erik Esche, and Jens-Uwe Repke. "Integration of Design and Operation with Discretization Error Control." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.141459.

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Optimization-based process design is a central task of process systems engineering. However, solely relying on steady-state models may potentially lead to dynamic constraint violations, hinder robust performance, or simply reduce the controllability of a process. This has led to the consideration of process dynamics in the design phase, which is commonly termed integration of design and operation / control. Recently, we proposed a framework to carry out this integrative task by formulating a large-scale nonlinear programming problem that is solved simultaneously. To this end, the dynamic proce

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Fiala, Petr. "Dynamic Analytic Network Process." In Hradec Economic Days 2018, edited by Petra Maresova, Pavel Jedlicka, and Ivan Soukal. University of Hradec Kralove, 2018. http://dx.doi.org/10.36689/uhk/hed/2018-01-021.

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Zarrabi, Amirreza, Khairulmizam Samsudin, and Amin Ziaei. "Dynamic process migration framework." In 2013 International Conference of Information and Communication Technology (ICoICT). IEEE, 2013. http://dx.doi.org/10.1109/icoict.2013.6574611.

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Azari, Rahman, Fred Khorasani, and Cynthia Bickerstaff. "Dynamic Statistical Process Control." In 1988 Microlithography Conferences, edited by Kevin M. Monahan. SPIE, 1988. http://dx.doi.org/10.1117/12.968373.

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Quante, J., and R. Koschke. "Dynamic object process graphs." In Conference on Software Maintenance and Reengineering (CSMR'06). IEEE, 2006. http://dx.doi.org/10.1109/csmr.2006.24.

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Chu, A., Z. B. Wang, and H. J. de Vriend. "29. PROCESS-BASED MODELING FOR THE YANGTZE ESTUARY." In Coastal Dynamics 2009 - Impacts of Human Activities on Dynamic Coastal Processes. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814282475_0032.

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Demirer, Onur N., Robin M. Zech, Chao-Jen Tsou, et al. "Overlay control improvements through dynamic sampling." In Metrology, Inspection, and Process Control XXXVIII, edited by Matthew J. Sendelbach and Nivea G. Schuch. SPIE, 2024. http://dx.doi.org/10.1117/12.3009830.

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Reports on the topic "Dynamic process"

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Dumais, Guy, Glenn Ellison, and Edward Glaeser. Geographic Concentration as a Dynamic Process. National Bureau of Economic Research, 1997. http://dx.doi.org/10.3386/w6270.

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Handley, Holly A., and Alexander H. Levis. On Organizational Adaptation via Dynamic Process Selection. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada461378.

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Perdigão, Rui A. P. Earth System Dynamic Intelligence - ESDI. Meteoceanics, 2021. http://dx.doi.org/10.46337/esdi.210414.

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Earth System Dynamic Intelligence (ESDI) entails developing and making innovative use of emerging concepts and pathways in mathematical geophysics, Earth System Dynamics, and information technologies to sense, monitor, harness, analyze, model and fundamentally unveil dynamic understanding across the natural, social and technical geosciences, including the associated manifold multiscale multidomain processes, interactions and complexity, along with the associated predictability and uncertainty dynamics. The ESDI Flagship initiative ignites the development, discussion and cross-fertilization of

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Akins, Daniel. Integration of Movement/Posture: A Dynamic Adaptive Process Model. Portland State University Library, 2016. http://dx.doi.org/10.15760/honors.298.

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Aviles, B. N. Dynamic Three-Dimensional Process Water Density Model for Ultrasim. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/781034.

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Holcombe, Sharon G., and Nathan C. Johnston. Analysis of the PPBE Process in the Current Dynamic Political Environment. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada483246.

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Wojtowicz, John A. Dynamic Properties of the International Space Station throughout the Assembly Process. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada348282.

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Windler, Gary, Ernest Hartline, Claudine Armenta, et al. New PBX 9501 Dynamic Mock Candidates via the Wet Slurry Process. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1845238.

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Riley, Brian J., Charles H. Henager, Dean W. Matson, Nicole R. Overman, and David A. Pierce. Flux-assisted CdTe and CdSe growth using an in-situ dynamic flux removal process. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1483293.

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Morkun, Volodymyr, Natalia Morkun, Andrii Pikilnyak, Serhii Semerikov, Oleksandra Serdiuk, and Irina Gaponenko. The Cyber-Physical System for Increasing the Efficiency of the Iron Ore Desliming Process. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4373.

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It is proposed to carry out the spatial effect of high-energy ultrasound dynamic effects with controlled characteristics on the solid phase particles of the ore pulp in the deslimer input product to increase the efficiency of thickening and desliming processes of iron ore beneficiation products. The above allows predicting the characteristics of particle gravitational sedimentation based on an assessment of the spatial dynamics of pulp solid- phase particles under the controlled action of high-energy ultrasound and fuzzy logical inference. The object of study is the assessment of the character

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