Relevant bibliographies by topics / Job design optimization tool

Contents

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

Academic literature on the topic 'Job design optimization tool'

Author: Grafiati
Published: 7 June 2025
Last updated: 17 July 2025

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Journal articles on the topic "Job design optimization tool"

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Darware, N. P., Prof Bhavesh Bohra, Prof Swapanil Chaudhary, Dr Bharat Chede, and Dr Somdatta Karanjekar. "Design, Optimization and Analysis of Milling Fixture." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 1385–87. http://dx.doi.org/10.22214/ijraset.2023.53858.

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Abstract: The manufacturing industry of small scale provides wide range of products to fulfill the market needs. To face many challenges of market these industries should increase their production rate with good quality and accuracy. The manual production is of low production rate and long throughput time. Moreover, standardization of manual processes is difficult and also its difficulty in maintenance, thus fixtures is used on the machines. Therefore, this study aims to design a Fixture. Basically, Fixture is a work holding device to guide the tool. The main purpose of making this fixture is
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Pol, G. J., A. R. Jadhav, S. J. Kadam, S. V. Kumbhar, and J. G. Shinde. "Design Optimization of Frame of Mechanical Press Machine." Asian Review of Mechanical Engineering 10, no. 1 (2021): 1–7. http://dx.doi.org/10.51983/arme-2021.10.1.2795.

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Power presses are used for the simple, accurate, and economical production of large quantities of articles quickly, accurately, and economically from the cold working of mild steel and other ductile materials. The components produced range over an extremely wide field and are used throughout the industry. Sometimes the pressings may be complicated and more than one pressing operation may be required. The press purpose is to shift one or more sources and movements to a tool or to die to shape or blanch a piece of work. Press design calls for the application of special knowledge about the produc
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Wen, Shilin, Rui Han, Ke Qiu, et al. "K8sSim: A Simulation Tool for Kubernetes Schedulers and Its Applications in Scheduling Algorithm Optimization." Micromachines 14, no. 3 (2023): 651. http://dx.doi.org/10.3390/mi14030651.

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In recent years, Kubernetes (K8s) has become a dominant resource management and scheduling system in the cloud. In practical scenarios, short-running cloud workloads are usually scheduled through different scheduling algorithms provided by Kubernetes. For example, artificial intelligence (AI) workloads are scheduled through different Volcano scheduling algorithms, such as GANG_MRP, GANG_LRP, and GANG_BRA. One key challenge is that the selection of scheduling algorithms has considerable impacts on job performance results. However, it takes a prohibitively long time to select the optimal algorit
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Li, Xin Hua, Jian Zhou, Yi Zhang, and Ling Dai. "Fuzzy Optimal Design of Tower Crane Jib." Advanced Materials Research 199-200 (February 2011): 530–33. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.530.

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This article takes the tower crane jib as the optimized object, in view of the jib unique feature, and has established the jib quality optimization objective function, then uses amplification coefficient to obtain its membership function to the fuzzy constraint condition,thus has transformed constraint condition very well. Direct searching tool-box of MATLAB software is adopted to get the optimization model,not only is simplified the optimization process,but also global optimal solution is found reliably.
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Karthik, Hosavaranchi Puttaraju. "OPTIMIZING JOB DESIGN FOR BUSINESS STRATEGIC EXECUTION: A JDOT-BASED FRAMEWORK FOR AI-DRIVEN ORGANIZATIONAL TRANSFORMATION." International Journal of Business Quantitative Economics and Applied Management Research 7, no. 8 (2023): 33–45. https://doi.org/10.5281/zenodo.14679607.

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Strategic execution is critical to achieving business objectives, but organizations often fail to align job roles effectively to drive execution. The Job Design Optimization Tool (JDOT) offers a structured framework for aligning roles to strategic goals and understanding the probability of a person succeeding in that role by focusing on job spans—accountability, control, influence, and support. This paper applies JDOT to optimize roles for strategic execution, using the Go Mobile regional manager case study and how it impacted the traditional role. Additionally,
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Tang, Changjiang, Sukanya Chaemchoy, and Pruet Siribanpitak. "Identifying professional development needs to enhance inclusive leadership among university faculty in Chongqing, China." International Journal of Innovative Research and Scientific Studies 8, no. 3 (2025): 366–78. https://doi.org/10.53894/ijirss.v8i3.6510.

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This study aims to identify the professional development needs required to enhance inclusive leadership among university faculty members in Chongqing, China. As part of a broader initiative to design a competency-based training model for higher education, the research adopts a quantitative, descriptive design involving 379 academic professionals. A structured needs assessment tool, utilizing a modified Priority Needs Index (PNImodified), was employed. The findings revealed significant gaps between the current and desired states of inclusive leadership, particularly in talent optimization, adap
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Penazzi, Stefano, Riccardo Accorsi, Emilio Ferrari, Riccardo Manzini, and Simon Dunstall. "Design and control of food job-shop processing systems." International Journal of Logistics Management 28, no. 3 (2017): 782–97. http://dx.doi.org/10.1108/ijlm-11-2015-0204.

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Purpose The food processing industry is growing with retail and catering supply chains. With the rising complexity of food products and the need to address food customization expectations, food processing systems are progressively shifting from production line to job-shops that are characterized by high flexibility and high complexity. A food job-shop system processes multiple items (i.e. raw ingredients, toppings, dressings) according to their working cycles in a typical resource and capacity constrained environment. Given the complexity of such systems, there are divergent goals of process c
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Salonvaara, Mikael, Andre Desjarlais, Antonio J. Aldykiewicz, et al. "Application of Machine Learning to Assist a Moisture Durability Tool." Energies 16, no. 4 (2023): 2033. http://dx.doi.org/10.3390/en16042033.

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The design of moisture-durable building enclosures is complicated by the number of materials, exposure conditions, and performance requirements. Hygrothermal simulations are used to assess moisture durability, but these require in-depth knowledge to be properly implemented. Machine learning (ML) offers the opportunity to simplify the design process by eliminating the need to carry out hygrothermal simulations. ML was used to assess the moisture durability of a building enclosure design and simplify the design process. This work used ML to predict the mold index and maximum moisture content of
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Xu, Shu Bo, K. K. Sun, Cai Nian Jing, and Guo Cheng Ren. "Finite Element Analysis and Optimization of Structure for Large Blanking Machine Equipment during High-Speed Blanking." Materials Science Forum 697-698 (September 2011): 176–81. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.176.

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This paper reviews the background and significance to investigate the high-speed speed blanking process modeling simulation and optimization of large blanking machine equipment for CNC uncoiling, leveling and shearing line. And a powerful tool has been providing to of heavy machinery optimal design specifications. The finite element model of beam structure has been established by using a three-dimensional modeling software UG NX4.0 CAD and finite element analysis software ANSYS. Then the static and dynamic characteristics results of the whole beam structure have been simulated. On the basis of
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Bao, Bizhen, Zhao Duan, Ningbo Xu, et al. "A new algorithm of the scheduling of a flexible manufacturing system based on genetic algorithm." Manufacturing Review 10 (2023): 11. http://dx.doi.org/10.1051/mfreview/2023010.

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In the flexible manufacturing system, a reasonable production scheduling is crucial in shortening the processing completion time and improving the equipment utilization. Traditional manual scheduling cannot effectively solve the complex workshop scheduling problems and cannot provide a scheduling solution that meets the requirements in a short period of time, which can lead to a decrease in processing efficiency. Aiming at the complex job shop scheduling problem, the genetic algorithm is used to find the optimal scheduling solution in this study, taking the number of overdue jobs, the total ov
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Dissertations / Theses on the topic "Job design optimization tool"

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Bower, Thomas Charles. "Fishing vessel optimization : a design tool." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25082.

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Rising fuel costs and decreased catch sizes have reduced the fishing vessel owners profit margin. This has caused the owners to try to find methods that reduce the costs of their operations. In this thesis a tool which can be used by fishing vessel designers, and operators, is developed for use at the preliminary ship design stage. It is used to determine the best fishing vessel parameters for a given operational scenario found on the West Coast of Canada.<br>Applied Science, Faculty of<br>Mechanical Engineering, Department of<br>Graduate
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Blaschke, Peter Gerhard. "Vibro-acoustic design tool for noise optimization of rotating machines." Thesis, Imperial College London, 1996. http://hdl.handle.net/10044/1/7355.

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İrtürk, Ali Umut. "GUSTO general architecture design utility and synthesis tool for optimization /." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3369520.

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Thesis (Ph. D.)--University of California, San Diego, 2009.<br>Title from first page of PDF file (viewed September 16, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 233-248).
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Proos, Kaarel. "Evolutionary structural optimisation as a robust and reliable design tool." Connect to full text, 2002. http://hdl.handle.net/2123/519.

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Thesis (Ph. D.)--University of Sydney, 2002.<br>Title from title screen (viewed Apr. 28, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Aeronautical, Mechatronic and Mechanical Engineering. Includes bibliographical references. Also available in print form.
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Holmberg, Aksel, and Oscar Pettersson. "DESIGN OF A TECHNO-ECONOMIC OPTIMIZATION TOOL FOR SOLAR HOME SYSTEMS IN NAMIBIA." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-33151.

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The expansion of the electrical grid and infrastructure is an essential part of development since it contributes to improved standard of living among the population. Solar home systems (SHS) are one solution to generate electricity for households where the national grid does not reach or is too sparsely populated to build a local mini-grid. Solar home system programs have been used as a solution for rural electrification in developing countries all over the world with various success, one of these countries is Namibia. A large fraction of the population in Namibia lacks access to electricity w
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Lerm, Rafael Andréas Raffi. "A model-driven design-space exploration tool for the HIPAO 2 methodology." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/134477.

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Hoje em dia, desenvolvedores de sistemas embarcados enfrentam uma crescente complexidade de projeto, tanto nas aplicações quanto nas plataformas usadas para executá-las. O uso de plataformas complexas faz com que os engenheiros precisem fazer escolhas não-triviais, e muitas vezes contra-intuitivas durante a fase de projeto. Para permitir que os projetistas gerenciem esta complexidade, o uso de metodologias baseadas em modelos tem atraído atenção, e dentro deste contexto, a metodologia HIPAO2 está sendo desenvolvida dentro da UFRGS. Dentre os problemas que os engenheiros precisam enfrentar, o m
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Foster, Kevin G. "Automated Tool Design for Complex Free-Form Components." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2383.

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In today's competitive manufacturing industries, companies strive to reduce manufacturing development costs and lead times in hopes of reducing costs and capturing more market share from early release of their new or redesigned products. Tooling lead time constraints are some of the more significant challenges facing product development of advanced free-form components. This is especially true for complex designs in which large dies, molds or other large forming tools are required. The lead time for tooling, in general, consists of three main components; material acquisition, tool design and e
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Milani, Mauro. "Optimization of the pressing process of triangular shaped cutting tool inserts." Thesis, Linnéuniversitetet, Institutionen för maskinteknik (MT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-58282.

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Pressing of metallic powders is a manufacturing process widely investigated in the research field and in the industry. This thesis project is focused on optimizing the pressing process of cemented carbide powder utilized for the production of triangular shaped cutting tool inserts. In particular, the filling of powder into the die cavity was investigated with respect to different pressing parameters. The aim of the project was to obtain a uniform density distribution of the powder into the die cavity, and hence to reduce the variation of the height of the insert obtaining more precise dimensio
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Mahmood, Zohaib. "Automatic design tool for robust radio frequency decoupling matrices in magnetic resonance imaging." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/97791.

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Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 43-45).<br>In this thesis we study the design of robust decoupling matrices for coupled transmit radio frequency arrays used in magnetic resonance imaging (MRI). In a coupled parallel transmit array, because of the coupling itself, the power delivered to a channel is typically partially re-distributed to other channels. This power must then be dissipated in circulators resulting into a significant redu
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Oslebo, Damian G. "Design of Tool for the Optimization of Deck Area Assignments with Integration into Existing Naval Ship Design Programs." Thesis, Monterey, California. Naval Postgraduate School, 2014. http://hdl.handle.net/10945/43075.

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CIVINS<br>Many tasks in the early stages of ship design are manual and repetitive processes. One such task is in the realm of deck area arrangements. The allocation and assignment of areas in early stage ship design involves tracking the difference of total ship area envelope and all required areas to be placed for habitability, mission support, and propulsion capability among many. The problem becomes more complex with the addition of constraints involving required separation zones between other areas, affinities for certain areas or deck levels, and compartment subdivision. The Leading Edge
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Books on the topic "Job design optimization tool"

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C, Young Katherine, and United States. National Aeronautics and Space Administration., eds. Automatic differentiation evaluated as a tool for rotorcraft design and optimization. National Aeronautics and Space Administration, 1995.

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Automatic differentiation as a tool in engineering design. National Aeronautics and Space Administration, Langley Research Center, 1992.

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Multidisciplinary Design, Analysis, and Optimization Tool Development Using a Genetic Algorithm. Independently Published, 2019.

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National Aeronautics and Space Administration (NASA) Staff. Structural Model Tuning Capability in an Object-Oriented Multidisciplinary Design, Analysis, and Optimization Tool. Independently Published, 2019.

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Michel, Bierlaire. Optimization: Principles and Algorithms. EPFL Press, 2015. http://dx.doi.org/10.55430/6116v1mb.

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Every engineer and decision scientist must have a good mastery of optimization, an essential element in their toolkit. Thus, this articulate introductory textbook will certainly be welcomed by students and practicing professionals alike. Drawing from his vast teaching experience, the author skillfully leads the reader through a rich choice of topics in a coherent, fluid and tasteful blend of models and methods anchored on the underlying mathematical notions (only prerequisites: first year calculus and linear algebra). Topics range from the classics to some of the most recent developments in sm
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Rhodes, R. A. W. On Focus Groups. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198786115.003.0005.

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This chapter suggests that focus groups are a useful ethnographic tool in the study of governing elites. Focus groups provide an alternative way of ‘being there’ when the rules about secrecy and access prevent participant observation. The chapter describes the job of prime ministers’ chiefs of staff before explaining the research design, the preparations for the focus group sessions, and the strategies used to manage the dynamics of a diverse group that included former political enemies and factional rivals. It outlines the approach to analysis and interpretation before reviewing the strengths
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Du, Yunfei, and Hammad Rauf Khan. Data Science for Librarians. Libraries Unlimited, 2020. http://dx.doi.org/10.5040/9798400637865.

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This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries. Data Science for Librariansintroduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; and library and information science educators, authors Yunfei Du and Hammad Rauf Khan provide a thorough overview of conceptual and practical tools for data librarian practice. Partially due to how quickly data science evolves,
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Book chapters on the topic "Job design optimization tool"

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Yoshimura, M., J. Montusiewicz, A. Osyczka, and J. Zamorski. "Machine Tool Design." In Multicriteria Design Optimization. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-48697-5_7.

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Braha, Dan, and Oded Maimon. "Intelligent Advisory Tool for Design Decomposition." In Applied Optimization. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2872-9_10.

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Sandgren, E., and Mohamed El Sayed. "Shape Optimization: Creating a Useful Design Tool." In Structural Optimization. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1413-1_35.

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Bremicker, M., H. A. Eschenauer, and P. U. Post. "Optimization Procedure SAPOP — A General Tool for Multicriteria Structural Designs." In Multicriteria Design Optimization. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-48697-5_2.

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Weck, M., and W. Sprangers. "Shape Optimization in Machine Tool Design." In Lecture Notes in Engineering. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84397-6_7.

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Peng, Wei, and John S. Gero. "Concept Formation in a Design Optimization Tool." In Innovations in Design & Decision Support Systems in Architecture and Urban Planning. Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-5060-2_19.

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Meiswinkel, Sebastian. "Truthful Algorithms for Job Agents." In On Combinatorial Optimization and Mechanism Design Problems Arising at Container Ports. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-22362-5_3.

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Varma, Abhijeet, and J. S. Karajagikar. "Process Automation Tool for Design and Cost Optimization Using Cad Tool in Combination with VBA." In Optimization Methods for Engineering Problems. Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003300731-6.

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Fernandes, Nuno O., Mohammad Dehghanimohammadabadi, and S. Carmo Silva. "Iterative Optimization-Based Simulation: A Decision Support Tool for Job Release." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77712-2_66.

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Allahyari, Zahed, and Artem R. Oganov. "Multi-objective Optimization as a Tool for Material Design." In Handbook of Materials Modeling. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-44680-6_71.

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Conference papers on the topic "Job design optimization tool"

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Krishnaswamy, Shanthi, Abibatou Gueye, Amadou Kone, Eddie Lanham, and Matthew Speciale. "Tool Management for Job Readiness." In 2025 Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2025. https://doi.org/10.1109/sieds65500.2025.11021174.

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Zhan, Lang, Fokko Harm Cornelis Doornbosch, Andrew John Martin, Jeremy P. Harvey, and Brenden Michael Grove. "Perforated Completion Optimization Using a New, Enhanced and Integrated Perforating Job Design Tool." In SPE International Symposium and Exhibition on Formation Damage Control. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/151800-ms.

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AL-Shuaibi, Hasna A., Majid A. AL-Wadhahi, Rashid S. AL-Maamari, Said S. AL-Kindi, and Ahmed M. AL-Kindi. "Optimization of Hydraulic Fracturing Design using ANN- A Case Study." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/217004-ms.

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Abstract Meeting targeted post-hydraulic fracturing production in the industry remains challenging despite optimization efforts. The optimization process is often based on trial-and-error, past practices, and analogous approaches, which are costly, time-consuming, and high-risk. Therefore, it is of practical interest for engineers to develop a fast, reliable tool that extracts knowledge from historical data and use it to analyze and predict well performance and support future process design decisions. Artificial intelligence (AI) is becoming increasingly important in the industry for providing
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Fouda, Ahmed E., Baris Guner, and Peter Barrett. "A Job Planner Software for Oil-Based Mud Resistivity Imagers." In 2024 SPWLA 65th Annual Symposium. Society of Petrophysicists and Well Log Analysts, 2024. https://doi.org/10.30632/spwla-2024-0136.

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Design and interpretation of oil-based mud resistivity imagers are significantly more difficult than their water-based mud counterparts. The presence of resistive oil-based mud reduces the sensitivity to the formation and necessitates the use of higher operating frequencies. However, at these higher frequencies, formation permittivity starts to affect the obtained images, with the amount of contribution from the formation permittivity being dependent on the exact frequency that was employed. Due to these complicated factors affecting tool performance, optimal operating conditions for the tool
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Ahmed, Danish, Mohammed Ahmed Kaki, Sajid Mehmood, and Haitham S. Saeed Aljuaydi. "Innovative Coiled Tubing Hybrid Fiber Optics Technology Increases Operational Efficiency." In Middle East Oil, Gas and Geosciences Show. SPE, 2023. http://dx.doi.org/10.2118/213739-ms.

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Abstract Production logging is very essential to understand the flow profile of the formation that is being produced from. It helps to identify the contribution of the oil, water, and gas to the total fluid. To add, it is done on a usual basis to monitor the reservoir performance. Organic deposit adherence to production logging tool (PLT) spinners can hinder logging operations and result in inconclusive data acquisition. To avoid this problem, standard practices have been developed to clean out organic deposits using a standard coiled tubing (CT) reel followed by production logging using a CT
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Upadhyay, N., H. Al Shehhi, V. Mandal, et al. "Operational Excellence by Cementing the Hcd-Liner Less 9-5/8" Casing Design with Single Stage Cementation, Eliminating the Need for Multi-Stage Tool and Dedicated Clean Out Trip in Uae Onshore." In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/225670-ms.

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Abstract Horizontal well with modified Heavy casing Liner-less design was planned to be drilled in UAE onshore field, and it was planned to be completed as Oil producer well. Considering its planned casing depth and getting the top of cement to surface as part of reservoir isolation requirement, cementing such a long length of column was a bigger challenge. There were different approaches discussed to cement this 12-1/4’’ Open hole section either using multi-stage tool or using single stage cementation based upon dynamic margin between Equivalent Circulation Density (ECD) during the job and fr
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Sui, P. C., S. Kumar, and N. Djilali. "Design and Optimization of the Gas Channels of a PEMFC Using CFD-Based Simulation." In ASME 2006 4th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2006. http://dx.doi.org/10.1115/fuelcell2006-97234.

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The flow field plate of a proton exchange membrane fuel cell (PEMFC) functions as electron conductor and provides the pathway for oxidant and fuel to reach the membrane electrode assembly (MEA). CFD-based simulation tools can be effective in designing and optimization of flow field plates as they cab fully account for the complexity and coupling of various transport phenomena as well as the 3-D geometry. The objective of this paper is to report on the development of such a simulation platform and on its application to investigate the impact of several geometric parameters on fuel cell performa
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Gadallah, Mohamed H. "Tolerance Optimization: A Decomposition Scheme, Variance Reduction and Fractional Approximation." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/ied-21222.

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Abstract Development of involved optimization algorithms is not an easy task for several reasons: First, every analyst is interested in a specific problem; Second, the capabilities of these methods may not be fully understood a priori; Third, coding of multi-purpose and more involved algorithms is not an easy job. In this paper, the optimization problem employing the near to global optimum algorithm is studied (Gadallah, M.H., 2000). The focus is to exploit 2 ideas: First, the algorithm can be modified to act as a variance reduction technique; Second, the algorithm can be modified to tackle th
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Fowler, G. J., M. W. McClure, A. Singh, et al. "Case Studies in Integrated Fracture Design and Well Spacing Optimization in Shale." In International Petroleum Technology Conference. IPTC, 2024. http://dx.doi.org/10.2523/iptc-24396-ms.

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Abstract Well spacing and hydraulic fracture design have an enormous impact on the economic performance of wells in shale. Key design parameters include: (a) horizontal and vertical well placement, (b) stage length, (c) cluster spacing, (d) cluster shot count, diameter, and phasing, (e) proppant and fluid type, (f) proppant and fluid volume, and (g) injection rate. Case studies from the Bakken, Delaware Basin, Midland Basin, and Montney shale plays are presented. Numerical simulation is used to evaluate alternative options and maximize economic objectives. Numerical simulations are performed w
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Srivastava, Priyank, Mainak Bandyopadhyay, Shantanu Chakraborty, Samarth Patwardhan, and Huy Tran. "Classification of Wireline Formation Testing Responses Using Unsupervised Machine Learning Methods." In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/31892-ms.

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Abstract This paper presents a novel technique for planning and execution of Wireline Formation Testing (WFT) jobs using recent applications of machine learning. WFT measurements provide a link between the static petrophysical measurements and dynamic rock-fluid properties for enhanced formation evaluation. However, despite the availability of newer generation tools for these services, there are still obstacles related to formation test job design and real-time optimization. Skilled geoscientists traditionally use quicklook analysis and theoretical models in designing WFT jobs to acquire quali
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Reports on the topic "Job design optimization tool"

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Yang, Chi, and Devin Bowers. Hydrodynamic Design Optimization Tool. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada558944.

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Thomas, Lacy, and Brendan White. Hull Form Design and Optimization Tool Development. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada581626.

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Frazier, Christopher Rawls, Justin David Durfee, Alisa Bandlow, Jared Lee Gearhart, and Katherine A. Jones. Contingency Contractor Optimization Phase 3 Sustainment Database Design Document - Contingency Contractor Optimization Tool - Prototype. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1257618.

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Durfee, Justin David, Christopher Rawls Frazier, Alisa Bandlow, and Katherine A. Jones. Contingency Contractor Optimization Phase 3 Sustainment Software Design Document - Contingency Contractor Optimization Tool - Prototype. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1257619.

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Mishra, Rajiv, and Indrajit Charit. TAOI B- Computational Microstructural Optimization Design Tool for High Temperature Structural Materials. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1191137.

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Howard, Heidi, Chad Helmle, Raina Dwivedi, and Daniel Gambill. Stormwater Management and Optimization Toolbox. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39480.

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As stormwater regulations for hydrologic and water quality control become increasingly stringent, Department of Defense (DoD) facilities are faced with the daunting task of complying with multiple laws and regulations. This often requires facilities to plan, design, and implement structural best management practices (BMPs) to capture, filter, and/or infiltrate runoff—requirements that can be complicated, contradictory, and difficult to plan. This project demonstrated the Stormwater Management Optimization Toolbox (SMOT), a spreadsheet-based tool that effectively analyzes and plans for complian
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Wenren, Yonghu, Joon Lim, Luke Allen, Robert Haehnel, and Ian Dettwiler. Helicopter rotor blade planform optimization using parametric design and multi-objective genetic algorithm. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46261.

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In this paper, an automated framework is presented to perform helicopter rotor blade planform optimization. This framework contains three elements, Dakota, ParBlade, and RCAS. These elements are integrated into an environment control tool, Galaxy Simulation Builder, which is used to carry out the optimization. The main objective of this work is to conduct rotor performance design optimizations for forward flight and hover. The blade design variables manipulated by ParBlade are twist, sweep, and anhedral. The multi-objective genetic algorithm method is used in this study to search for the optim
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Rahnema, Farzad, Srinivas Garimeela, Abderrafi Ougouag, and Dingkang Zhang. Innovative and Advanced Coupled Neutron Transport and Thermal Hydraulic Method (Tool) for the Design, Analysis and Optimization of VHTR/NGNP Prismatic Reactors. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1111140.

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Katcher, Kelsi, Abhay Patil, Reese Roddy, and Subhra Shankha Koley. PR015-23206-R01 Centrifugal Compressor Station Efficiency Optimization. Pipeline Research Council International, Inc. (PRCI), 2024. http://dx.doi.org/10.55274/r0000102.

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The Compressor and Pump Station Technical Committee of Pipeline Research Council International (PRCI) has identified a need to reduce fuel and energy consumption at centrifugal compressor stations by improving the operating efficiency of centrifugal compressors at off-design conditions. It is commonplace for centrifugal compressors to operate well away from their original design point (and best efficiency point); this is generally due to (1) compressor stations needing to operate over an increasingly wide range of conditions and (2) economics favoring the installation of 1 or 2 large compresso
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Yang, Yu, and Hen-Geul Yeh. Electrical Vehicle Charging Infrastructure Design and Operations. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2240.

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California aims to achieve five million zero-emission vehicles (ZEVs) on the road by 2030 and 250,000 electrical vehicle (EV) charging stations by 2025. To reduce barriers in this process, the research team developed a simulation-based system for EV charging infrastructure design and operations. The increasing power demand due to the growing EV market requires advanced charging infrastructures and operating strategies. This study will deliver two modules in charging station design and operations, including a vehicle charging schedule and an infrastructure planning module for the solar-powered
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