Relevant bibliographies by topics / Advanced Productive Modeling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Advanced Productive Modeling'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Advanced Productive Modeling"

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Feller, Juan, Alejandro F. Mac Cawley, Jorge A. Ramos-Grez, and Iván La Fé-Perdomo. "Determining optimal laser-beam cutting equipment investment through a robust optimization modeling approach." PLOS ONE 16, no. 7 (2021): e0254893. http://dx.doi.org/10.1371/journal.pone.0254893.

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The acquisition of Advanced Manufacturing Technologies (AMT), such as high-power fiber or CO2 laser cutting equipment, generally involves high investment levels. Its payback period is usually more extended, and there is a moderate-to-high risk involved in adopting these technologies. In this work, we present a robust model that optimizes equipment investing decisions, considers the process’s technical constraint and finds an optimal production plan based on the available machinery. We propose a linear investment model based on historical demand information and take physical process parameters
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Harper, Christofer M., Daniel Tran, and Edward Jaselskis. "Implementation of Visualization and Modeling Technologies for Transportation Construction." Journal of Civil Engineering and Construction 11, no. 1 (2021): 29–40. http://dx.doi.org/10.32732/jcec.2022.11.1.29.

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State departments of transportation (DOTs) increasingly use visualization and modeling technologies for delivering transportation projects across the United States. Advanced and innovative technologies have the ability to improve various construction processes and tasks while making the construction process more efficient and productive. Visualization and modeling technologies, which include building information modeling for infrastructure, light detection and ranging, virtual reality, and augmented reality, are becoming more commonplace in transportation construction. Yet, the use of these te
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Ramirez-Guerrero, T., M. I. Hernández-Pérez, M. S. Tabares, and E. Villanueva. "Characterization of variables for modeling agroclimatic and phytosanitary events in agricultural crops using deep learning models." Journal of Physics: Conference Series 2515, no. 1 (2023): 012009. http://dx.doi.org/10.1088/1742-6596/2515/1/012009.

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Abstract Digital transformation is increasingly present in the agricultural sector thanks to the development and availability of information technologies. However, the agricultural sector is one of the least digitized worldwide, including in countries with highly competitive and technologically advanced agricultural chains and processes. To optimize production using technological tools, it is necessary to combine variables associated with soil, climate, and plant type to estimate crop yields. Therefore, it is important to identify the physical variables that are of interest for the modeling of
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Luo, Ming, HQ Fan, and Guiwen Liu. "Measuring regional differences of construction productive efficiency in China." Engineering, Construction and Architectural Management 27, no. 4 (2019): 952–74. http://dx.doi.org/10.1108/ecam-04-2019-0195.

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Purpose As one of the pillar sectors, China’s construction industry (CE) is not efficient in productivity with large regional gaps over the past decades. It is crucial for stakeholders to have insightful information on regional input of resources and output of productive efficiency for making policies and investment decisions. The purpose of this paper is to develop an efficiency measurement for the CE and explore the regional differences of construction productive efficiency across the three regions of China. Design/methodology/approach Data envelopment analysis (DEA) is an objective benchmar
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Swathi Reddy, M. "Predictive Modeling of Student Academic Outcomes Using Machine Learning." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49913.

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Abstract -Education is crucial for a productive life and providing necessary resources. With the advent of technology like artificial intelligence, higher education institutions are incorporating technology into traditional teaching methods. Predicting academic success has gained interest in education as a strong academic record improves a university’s ranking and increases student employment opportunities. Modern learning institutions face challenges in analyzing performance, providing high-quality education, formulating strategies for evaluating students’ performance, and identifying future
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CRAPO, ANDREW, and ABHA MOITRA. "TOWARD A UNIFIED ENGLISH-LIKE REPRESENTATION OF SEMANTIC MODELS, DATA, AND GRAPH PATTERNS FOR SUBJECT MATTER EXPERTS." International Journal of Semantic Computing 07, no. 03 (2013): 215–36. http://dx.doi.org/10.1142/s1793351x13500025.

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The Semantic Application Design Language (SADL) combines advances in standardized declarative modeling languages based on formal logic with advances in domain-specific language (DSL) development environments to create a controlled-English language that translates directly into the Web Ontology Language (OWL), the SPARQL graph query language, and a compatible if/then rule language. Models in the SADL language can be authored, tested, and maintained in an Eclipse-based integrated development environment (IDE). This environment offers semantic highlighting, statement completion, expression templa
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LYUBUSHIN, Nikolai P., Elena N. LETYAGINA, and Valentina I. PEROVA. "Studying the innovative development of regional economy as an imperative of sustainable socio-economic growth in Russia, using neural network modeling." Economic Analysis: Theory and Practice 20, no. 8 (2021): 1394–414. http://dx.doi.org/10.24891/ea.20.8.1394.

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Subject. The article deals with the innovative potential of Russian regions in light of the national goal of the Russian Federation development, reflecting decent and productive work. Objectives. The purpose is to study the innovation activity in Russian regions, using neural networks, to ensure breakthrough innovative development of the Russian economy. Methods. We employ a cluster analysis on the basis of neural network modeling, using information technologies. For the research, we selected neural networks (Kohonen self-organizing maps), which are focused on unsupervised learning and are a p
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Veliyev, G. O., S. A. Gasimova, E. T. Mirmehdiyeva, E. Ya Abbasov, and S. E. Kazimova. "On conditions of geodynamic tension and oil-gas bearing content of Garbi Absheron structure based on advanced models." Azerbaijan Oil Industry, no. 11 (November 15, 2021): 4–10. http://dx.doi.org/10.37474/0365-8554/2021-11-4-10.

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In the context of Garbi Absheron structure the significance of increase of accuracy for searching and exploration of oil-gas fields with the purpose of avoiding technological complications in the drilling considering conditions of geodynamic tension, as well as the necessity of the implementation of perfect methods of modeling based on the geophysical and seismological data in the specification of the site of drilled wells and operation of productive layer has been defined for the first time. Considering the results of facies analysis, as well as the petrophysical and geophysical logging data
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Wang, Pengsen. "Interwoven Lives: The Impact of Social Support and Behavioral Changes on Health Behaviors among the Chinese Residents." American Journal of Health Behavior 48, no. 4 (2024): 149–62. http://dx.doi.org/10.5993/ajhb.48.4.13.

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Objectives: It is found that there is a growing level of mortality among people with diabetic diseases. However, factors like social support and positive behavior change tend to play a substantial role in dealing with such mental worries. Methods: Based upon the given thoughts, this research examines the impact of social support and behavioral changes on health behavior in the form of diabetic health worries. For this purpose, the study will collect the sample using the survey questionnaire technique. A sample of 357 respondents has empirically been analyzed by applying advanced statistical te
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Noori, Ahmed Faris, and Farqad Hadi. "Geomechanical modeling and wellbore stability analysis for studying the shale rock failure." Iraqi Journal of Chemical and Petroleum Engineering 26, no. 1 (2025): 35–43. https://doi.org/10.31699/ijcpe.2025.1.4.

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Wellbore stability constitutes a critical challenge that can precipitate an escalation in non-productive time (NPT) during drilling operations, subsequently resulting in an increase in well expenditures and consequent revenue deficits. Shale formations exhibit a greater propensity than many geological formations to induce complications during the drilling process. Consequently, advanced geomechanical analyses were executed on select wells within the Zubair oilfield to clarify the fundamental causes of instability predominant in the field. In this study, the model was applied to two specific we
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Dissertations / Theses on the topic "Advanced Productive Modeling"

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Parenti, Andrea <1988&gt. "Modelling new sustainable cropping systems for advanced biofuel production." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amsdottorato.unibo.it/9298/1/PhD%20Thesis%20Andrea%20Parenti.pdf.

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Through the re-use of empirical functions and new model development, this study aims at contributing to the development of advanced biofuels in Europe. Four lignocellulosic crops were selected and tested in stand-alone (sunn hemp – Crotalaria juncea L.) and rotation system (sunn hemp, biomass sorghum - Sorghum bicolor x Sorghum sudangrass, kenaf - Hibiscus cannabinus L. and industrial hemp - Cannabis sativa L.) in different European environments. The first Chapter deals with a new model development (SunnGro) to reproduce sunn hemp, an interesting summer crop for advanced biofuels in Europe; in
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Grillo, Espinoza Hanzel. "Advanced methods and models in uncertainty for the order promising process in supply chain characterized by the lack of homogeneity in product." Doctoral thesis, Universitat Politècnica de València, 2019. http://hdl.handle.net/10251/91110.

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The Lack of Homogeneity in the Product (LHP) appears in productive processes with raw materials, which directly stem from nature and/or production processes with operations that confer heterogeneity to the characteristics of the outputs obtained, even when the inputs used are homogeneous. LHP appears in different sectors such as ceramic tile, horticulture, marble, snacks, among others. LHP becomes a managerial problem when customers require to be served with homogeneous product. Supply chains responsible to provide homogeneous product face the need to include classification activities in the
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Ramírez, Botero Asdrúbal Antonio. "Modélisation, simulation, optimisation et commande d’un procédé d’évaporation réactive assistée par plasma pour la production de couches minces d’oxyde de zinc." Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0348.

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Dans ce travail, la modélisation, la simulation, l'optimisation dynamique et le contrôle d'un processus d'évaporation réactif assisté par plasma (PARE) pour le dépôt de couches minces d'oxyde de zinc (ZnO) sont proposés. Initialement, un modèle dimensionnel à l’état instable a été développé pour le processus. Ce modèle applique des équilibres dynamiques des matériaux au processus et tient compte du transfert de masse par diffusion et convection, ainsi que des réactions en masse et en surface, afin de déterminer l’évolution temporelle de la concentration de l'espèce (O_2(g) , O_((g))^., O_((g))
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Curcio, Duilio, Sergio Rizzuti, and Giovanni Mirabelli. "Inventory and warehouse management in production systems and supply chain based on advanced modeling & simulation." Thesis, 2014. http://hdl.handle.net/10955/509.

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Tshibangu, Serge. "Advanced modelling of a biodiesel production process from Ricinus Communis alternative fuel in sub-Saharan African countries." Thesis, 2018. https://hdl.handle.net/10539/26750.

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Submitted to School of Chemical and Metallurgical Engineering, Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, South Africa, November 2018<br>Oil and Natural Gas are amongst the depletable resources of fossil energies. These characteristics have major implications in the supply demand equilibrium. For example, in a schematic way, the shortage (or the fear of shortage like during the oil crisis of 1973) automatically triggers a sudden price increase which decreases the demand according to the political economy of energy. The fear of shortage in t
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Serge, Tshibangu. "Advanced modelling of a biodiesel production process from Ricinus Communis alternative fuel in sub-Saharan African countries." Thesis, 2018. https://hdl.handle.net/10539/26726.

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School of Chemical and Metallurgical Engineering, Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, South Africa, 2018<br>Oil and Natural Gas are amongst the depletable resources of fossil energies. These characteristics have major implications in the supply demand equilibrium. For example, in a schematic way, the shortage (or the fear of shortage like during the oil crisis of 1973) automatically triggers a sudden price increase which decreases the demand according to the political economy of energy. The fear of shortage in the Sub-Saharan context
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Books on the topic "Advanced Productive Modeling"

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Milewski, Jarosław. Advanced methods of solid oxide fuel cell modeling. Springer Verlag, 2011.

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IFIP TC5/WG5.2 & WG5.3 Conference on Feature Modelling and Advanced Design-for-the-Life-Cycle Systems (2001 Valenciennes, France). Feature based product life-cycle modelling: IFIP TC5/WG5.2 & WG5.3 Conference on Feature Modelling and Advanced Design-for-the-Life-Cycle Systems (FEATS 2001), June 12-14, 2001, Valenciennes, France. Kluwer Academic Publishers, 2003.

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Vasca, Francesco. Dynamics and Control of Switched Electronic Systems: Advanced Perspectives for Modeling, Simulation and Control of Power Converters. Springer London, 2012.

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Sodhi, Ranbir S. Advances in Manufacturing Systems: Design, Modeling and Analysis (Manufacturing Research and Technology). Elsevier Publishing Company, 1994.

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Milewski, Jarosław, Konrad Świrski, Massimo Santarelli, and Pierluigi Leone. Advanced Methods of Solid Oxide Fuel Cell Modeling. Springer, 2013.

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Matsuhashi, Ann. Writing in Real Time: Modeling Production Processes (Advances in Discourse Processes). Ablex Publishing, 1987.

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Karwowski, Waldemar, Emilio Rossi, Massimo Di Nicolantonio, Stefan Trzcielinski, and Beata Mrugalska. Advances in Manufacturing, Production Management and Process Control: Proceedings of the AHFE 2021 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping, July 25-29, 2021, USA. Springer International Publishing AG, 2021.

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Iannelli, Luigi, and Francesco Vasca. Dynamics and Control of Switched Electronic Systems: Advanced Perspectives for Modeling, Simulation and Control of Power Converters. Springer, 2012.

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Iannelli, Luigi, and Francesco Vasca. Dynamics and Control of Switched Electronic Systems: Advanced Perspectives for Modeling, Simulation and Control of Power Converters. Springer, 2014.

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Mills, Caitlin, Arianne Herrera-Bennett, Myrthe Faber, and Kalina Christoff. Why the Mind Wanders. Edited by Kalina Christoff and Kieran C. R. Fox. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190464745.013.42.

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This chapter offers a functional account of why the mind—when free from the demands of a task or the constraints of heightened emotions—tends to wander from one topic to another, in a ceaseless and seemingly random fashion. We propose the default variability hypothesis, which builds on William James’s phenomenological account of thought as a form of mental locomotion, as well as on recent advances in cognitive neuroscience and computational modeling. Specifically, the default variability hypothesis proposes that the default mode of mental content production yields the frequent arising of new m
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Book chapters on the topic "Advanced Productive Modeling"

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Lakdinu, Manuka, M. Mavin De Silva, Kavith Balachandra, et al. "Modeling the Impact of Leadership on Change Management Decisions Using System Dynamics Simulation." In Advances in Production. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45021-1_17.

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Sauerzapf, Stefan, and Michael Beitelschmidt. "Simulation of Thermoelastic Behavior of Technical Systems with Relatively Moving Parts - Modeling Process, Part Coupling Approaches and Application to Machine Tools." In Lecture Notes in Production Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34486-2_11.

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AbstractModels of technical systems play an essential role from the conceptual phase to the end of life of the system, as they allow the prediction of the behavior of the real world instance by simulation. Time and money spent on building prototypes can be saved, and the development process can be significantly accelerated. Furthermore, simulations allow the optimization of systems in advance.A major problem in modeling modern systems is complexity, as machines increasingly include components from different areas such as cooling systems, active bearings, etc., along with the control units that
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Quirós, C., L. A. García, and M. Díaz. "Modeling Protease Production by Immobilised Serratia marcescens." In Advances in Bioprocess Engineering. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-0641-4_32.

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Lockner, Yannik, Paul Buske, Maximilian Rudack, et al. "Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_8-1.

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AbstractDiscontinuous processes face common tasks when implementing modeling and optimization techniques for process optimization. While domain data may be unequal, knowledge about approaches for each step toward the solution, e.g., data gathering, model reduction, and model optimization, may be useful across different processes. A joint development of methodologies for machine learning methods, among other things, ultimately supports fast advances in cross-domain production technologies. In this work, an overview of common maturation stages of data-intensive modeling approaches for production
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Lockner, Yannik, Paul Buske, Maximilian Rudack, et al. "Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44497-5_8.

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AbstractDiscontinuous processes face common tasks when implementing modeling and optimization techniques for process optimization. While domain data may be unequal, knowledge about approaches for each step toward the solution, e.g., data gathering, model reduction, and model optimization, may be useful across different processes. A joint development of methodologies for machine learning methods, among other things, ultimately supports fast advances in cross-domain production technologies. In this work, an overview of common maturation stages of data-intensive modeling approaches for production
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Ilie-Zudor, E., and L. Monostori. "Modeling and Management of Production Networks." In IFIP Advances in Information and Communication Technology. Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35492-7_7.

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Janowski, Tomasz. "Modeling Distributed Production Enterprises with XML." In IFIP Advances in Information and Communication Technology. Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35585-6_29.

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Haqiqi, Iman. "Behavioral Parameters: Capturing Geospatial Heterogeneity in Economic Decisions and Responses." In SIMPLE-G. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68054-0_7.

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AbstractThis chapter introduces the parameters of SIMPLE-G-US, a resource for spatially heterogeneous analysis within gridded economic modeling focused on land, water, and environmental sustainability. The dataset offers key economic and behavioral parameters, including land and water supply elasticities, land conversion possibilities, and substitution elasticities, capturing spatial responses of production systems to economic and environmental drivers. Integration with existing environmental and economic data unlocks avenues for analyzing and predicting land-use change, water resource allocat
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Tamidi, Athirah bt Mohd, K. Z. K. Shaari, and T. Ganesan. "Reaction Modeling for Prediction of Hydrogen Production During Biomass Gasification." In Advanced Structured Materials. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02836-1_1.

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Knape, Simon, Michael Königs, Alexander Epple, and Christian Brecher. "Increasing Accuracy of Material Removal Simulations by Modeling Workpiece Deformation Due to Clamping Forces." In Advances in Production Research. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03451-1_8.

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Conference papers on the topic "Advanced Productive Modeling"

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Dinh, Vincent, Angelica Lantto, Pavel Ramirez Lopez, Sofia Larsson, Anders Olofsson, and Andreas Jansson. "CFD Modeling of Gas Cooling for Sustainable Heat Treatment for Drivetrain Components." In QDE 2025. ASM International, 2025. https://doi.org/10.31399/asm.cp.qde2025p0202.

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Abstract This study focuses on replacing traditional gas-fired furnaces with sustainable low-pressure carburizing (LPC) and gas cooling methods. The project leverages advanced computational tools for predicting quenching outcomes (e.g., cooling rates, material properties, and distortions) to enable sustainable and efficient production.
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Sharif, Md Ahammad, K. Siva Kumar, Venkata Ramana Avula, Mohammed Huzaifa, Sonu Kumar, and Emandi Krishna Sai. "Exploring Advanced Optimized Machine Learning Frameworks for Enhanced Analysis and Predictive Modeling of Drilling Well Production Performance." In 2025 IEEE 14th International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2025. https://doi.org/10.1109/csnt64827.2025.10968676.

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Zhang, Xiaoming, Wen-Fang Xie, and Suong V. Hoa. "Modeling and Workspace Analysis of Collaborative Advanced Fiber Placement Machine." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38553.

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The Advanced Fiber Placement (AFP) machines have brought significant improvement on the manufacturing of composite. However, the current AFP machines are not capable of handling some applications with more complex shapes. This paper presents a collaborative AFP machine which consists of a 6-RSS parallel platform, a 6-DOF manipulator and a spindle mounted on the platform to hold the mandrel. The collaborative modeling is built and simulated in SimMechanics/Matlab. The inverse kinematic models are established for trajectory planning. In addition, the workspaces of both parallel robot and collabo
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Deshpande, Kedar, Pravin Naphade, and Chad Wuest. "Advanced Computational Modeling for Estimating Safe Cuttings Load Through MPD Surface Equipment." In IADC/SPE Asia Pacific Drilling Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/201074-ms.

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Abstract The critical components of Managed Pressure Drilling (MPD) operations include surface manifold, surface chokes and the pipes connected to Mud Gas separators. The MPD surface equipment needs to safely handle a multiphase mixture of drilling mud, cuttings load and reservoir fluid influx during operations. The focus of this work is to establish safe cuttings load limit that can be handled by MPD system using advanced computational fluid dynamics (CFD) modeling approach. In MPD operations the surface choke is the key surface manifold component through which the fluid and cuttings flow bef
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Petrov, Yevgeniy, Jordan Dubuc, Michael H. Murray, and Tim Edward. "Statistical Analysis of Dig Operations Leading to Productive Repairs." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9493.

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Abstract Inline inspection data from several runs spanning many years is available for individual pipeline segments, but compilation of this data into a comprehensive picture of pipeline integrity necessarily relies on computational tools. A critical advantage of modern data storage, analysis, and visualization techniques is the relative ease of performing statistical assessments of integrity operations. Data from a single user of OneBridge Solution’s software may comprise over 1,000 in-line inspections (ILI) runs, hundreds of pipe segments, several million aligned anomalies, and thousands of
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Khan, Abdul Muqtadir, Vadim Isaev, and Vladimir Plyashkevich. "Expanding the Degradable Fluid Loss Additive Application Spectrum Through Advanced Slurry Transport Modeling, Theoretical and Experimental Integration." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22144-ms.

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Abstract Chemistry and the materials portfolio play a central role in fracturing success. Challenges in a achieving successful and productive proppant pack are resolved using varying products and fit-for-purpose chemistry utilization. The conventional understanding of using fluid loss additive (FLA) only for reducing fluid leakoff in high-permeability formations can be extended with advanced digital tools for optimum realization of a broader application spectrum for well-specific challenges. Polylactic acid-based powdered degradable FLA (DFLA) was developed with engineered particle size distri
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Al-Hamad, Hamad, AlSamhan Sarah, Meqdad Al-Naqi, et al. "Drilling with 3d Geomechanical Modeling - Efficient Simulation Method." In Middle East Oil, Gas and Geosciences Show. SPE, 2023. http://dx.doi.org/10.2118/213311-ms.

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Abstract As a field development strategy, KOC is developing highly depleted reservoir. The field has been experiencing wellbore instability issues. Some recent wells have encountered stuck pipe and mud losses in clastic and carbonate sections. To reduce geomechanical related Non-Productive Time and rig days, it is important that combined effect of in-situ stress state and well trajectory on wellbore stability should be thoroughly investigated. Rock mechanical behaviours also need to be evaluated to optimize drilling practice. The growing appreciation of the effects of regional tectonics is mak
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Bokarev, Anton Yurievich, Dmitriy Mikhailovich Yezersky, Anton Yurievich Filimonov, Ivan Romanovich Dubnitsky, and Vladislav Viktorovich Vorobiev. "An Example of Building a Petrophysical Model of Unconsolidated Gas-Saturated Laminated Sediments Using Advanced Wireline and Logging While Drilling Services." In SPE Russian Petroleum Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/206620-ms.

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Abstract Productive deposits of the Turonian age as part of the Kuznetsovskaya Formation are cover the eastern part of Western Siberia (Figure 1), but until recently they were not of wide industrial interest. Today, most of the gas reserves in Western Siberia are produced in the Cenomanian deposits, which are in the stage of declining production. The productivity of the deposits above Cenomanian layer has been established in many fields where the Cenomanian formations are productive. In general, in Western Siberia in the Turonian deposits, there are more than 3 trillion cubic meters of gas, wh
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Mohamed, Islam A., Ahmed Hosny, and Sameh Amin. "Innovative Machine Learning Approach to Locate the Remaining Gas." In Mediterranean Offshore Conference. SPE, 2024. http://dx.doi.org/10.2118/223348-ms.

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Abstract Locating remaining gas in a producing gas field poses several challenges, primarily due to complexities in reservoir dynamics, data availability, and technological limitations. Gas reservoirs often exhibit complex geological formations and heterogeneities. Variations in porosity, permeability, and rock types can create irregular gas distribution, making it difficult to accurately predict where remaining gas pockets might be located. Moreover, sparse well coverage, incomplete data sets, or inaccuracies in historical data can hinder accurate reservoir modeling and forecasting. Addressin
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Al-Maskeen, Abdul Mohsen, and Sadaqat Ali. "Advanced Horizontal Well Correlation Method for Dynamic Update of Subsurface Layers While Geosteering." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204721-ms.

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Abstract A new automated approach to well correlation is presented that utilizes real-time Logging While-Drilling (LWD) data and predicted well curve to dynamically update subsurface layers during geosteering operations. The automatically created predicted log and a dynamically updated structural framework provides the foundation of the process. The predicted log is created using vertical sections of the nearby wells, which provide high confidence for determining depth and stratigraphic position of the geosteered well. The results give a better understanding of thickness variation in the horiz
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Reports on the topic "Advanced Productive Modeling"

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Wilson, D., Vladimir Ostashev, Michael Shaw, et al. Infrasound propagation in the Arctic. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42683.

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This report summarizes results of the basic research project “Infrasound Propagation in the Arctic.” The scientific objective of this project was to provide a baseline understanding of the characteristic horizontal propagation distances, frequency dependencies, and conditions leading to enhanced propagation of infrasound in the Arctic region. The approach emphasized theory and numerical modeling as an initial step toward improving understanding of the basic phenomenology, and thus lay the foundation for productive experiments in the future. The modeling approach combined mesoscale numerical we
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Tuller, Markus, Asher Bar-Tal, Hadar Heller, and Michal Amichai. Optimization of advanced greenhouse substrates based on physicochemical characterization, numerical simulations, and tomato growth experiments. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7600009.bard.

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Over the last decade there has been a dramatic shift in global agricultural practice. The increase in human population, especially in underdeveloped arid and semiarid regions of the world, poses unprecedented challenges to production of an adequate and economically feasible food supply to undernourished populations. Furthermore, the increased living standard in many industrial countries has created a strong demand for high-quality, out-of-season vegetables and fruits as well as for ornamentals such as cut and potted flowers and bedding plants. As a response to these imminent challenges and dem
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Lips, Urmas, Oliver Samlas, Vasily Korabel, Jun She, Stella-Theresa Stoicescu, and Caroline Cusack. Demonstration of annual/quarterly assessments and description of the production system. EuroSea, 2022. http://dx.doi.org/10.3289/eurosea_d6.2.

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This task set out to increase communication between the ocean monitoring and modelling communities in the Baltic Sea area. Through these improved communications, the goal was to advance and improve the HELCOM marine environmental assessments. To gain confidence in the numerical model outputs, an effort was undertaken to ensure ocean observing in-situ data, collected by multiple nations in the Baltic Sea, was assimilated into a numerical model. Here, we report on the development of indicators, as requested by our stakeholders, and we discuss if the Baltic Sea numerical modelling efforts are rea
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Cochran, Jaquelin, and David Palchak. Greening the Grid: Advances in Production Cost Modeling for India Renewable Energy Grid Integration Study. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1371644.

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Tsotsis, Theodore, Mohammad Bazmi, Kristian Jessen, Richard Ciora, and Douglas Parsley. Advanced Ceramic Membranes/Modules for Ultra Efficient Hydrogen (H2) Production/Carbon Dioxide (CO2) Capture for Coal-Based Polygeneration Plants: Fabrication, Testing and CFD Modeling. Office of Scientific and Technical Information (OSTI), 2022. https://doi.org/10.2172/2569922.

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