Relevant bibliographies by topics / Factory science

Contents

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

Academic literature on the topic 'Factory science'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Factory science"

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Atreya, S. "PLANETARY SCIENCE: Titan's Organic Factory." Science 316, no. 5826 (2007): 843–45. http://dx.doi.org/10.1126/science.1141869.

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Barnes, G. Michael, R. Hsu, N. Hsu, et al. "A computer science courseware factory." ACM SIGCSE Bulletin 18, no. 1 (1986): 318–28. http://dx.doi.org/10.1145/953055.5633.

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Richter, B. "B Factory Proposals." Science 261, no. 5128 (1993): 1505. http://dx.doi.org/10.1126/science.261.5128.1505.

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Kerrich, R. "GEOCHEMISTRY:Nature's Gold Factory." Science 284, no. 5423 (1999): 2101–2. http://dx.doi.org/10.1126/science.284.5423.2101.

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Hurtley, S. M. "CELL BIOLOGY: Pretzel Factory." Science 304, no. 5668 (2004): 173c. http://dx.doi.org/10.1126/science.304.5668.173c.

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Richter, Burton. "B Factory Proposals." Science 261, no. 5128 (1993): 1505. http://dx.doi.org/10.1126/science.261.5128.1505.a.

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Bethke, Fleming, and Pascal Jahn. "Zukunftsgerichtetes Laborkonzept für „Life Science Factory“." HLH 74, no. 11-12 (2023): 32–34. http://dx.doi.org/10.37544/1436-5103-2023-11-12-32.

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Mit ihrem einzigartigen Konzept bietet die „Life Science Factory“ (LSF) in Göttingen nicht nur ideale Bedingungen für junge Biotech-Start-ups. Der von der Sartorius AG initiierte und vom Land Niedersachsen geförderte Start-up Hub erlaubt auch einen Blick in die Zukunft von Laboren. Diese erfordern nicht zuletzt ganz neue gebäudetechnische Lösungen, wie für diesen Neubau zum Teil erstmals realisiert wurden.
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Enserink, M. "ENTOMOLOGY: Welcome to Ethiopia's Fly Factory." Science 317, no. 5836 (2007): 310–13. http://dx.doi.org/10.1126/science.317.5836.310.

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Osborne, I. S. "APPLIED PHYSICS: A Miniature Clock Factory." Science 309, no. 5744 (2005): 2138d. http://dx.doi.org/10.1126/science.309.5744.2138d.

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Stone, R. "Surprise! A fungus factory for taxol?" Science 260, no. 5105 (1993): 154–55. http://dx.doi.org/10.1126/science.8097059.

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Dissertations / Theses on the topic "Factory science"

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Nackfors, Glenn. "Factory optimization using DES." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13410.

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Discrete Event Simulation (DES) has been a powerful tool for modeling and optimization of production lines for many years. Developing detailed models may be very time consuming and might also be computationally costly to execute, especially if optimization techniques are to be applied. Aggregation techniques, simplifying a detailed system into fewer objects, can be an effective method to reduce the required computational resources as well as a way to shorten the development time. An aggregated model can be used to identify the main constraints in a system, dimensioning inter-line buffers, and
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Eidegård, Anna. "Project factors - A possible way to create a data bank of project experience." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1328.

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<p>Denna magisteruppsats syftar till att effektivisera projekt. Uppsatsen är gjord vid flygradardivisionen vid Ericsson Microwave Systems (EMW). Deras projekt kostar ofta mer än planerat och tar ofta längre tid än planerat. Flygradardivisionen vill veta varför slutresultatet i de flesta fall överskrider budget och varför tidsramen inte kan hållas. Deras mål är att lära sig från erfarenheten i tidigare projekt och att samla all denna erfarenhet i en erfarenhetsbank.</p><p>De gav mig uppgiften att starta processen mot en erfarenhetsbank. Teorin som jag baserar mina resultat och slutsatser på är
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Li, Fang Fang, and Pierre Devos. "Talent management: art or science? : The invisible mechanism between talent and talent factory." Thesis, University of Kalmar, Baltic Business School, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-473.

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<p>Talent management has been a heating-up topic in recent years. It has a positive effect on the ability to create a compelling, productive, and valued enterprise for all stakeholders — employees, customers, business partners and investors. Moreover, talent management facilitated talent flexibility and enables the rapid growth of the business, ensuring rapid alignment with the requirements established by business leaders as the company evolved. Meanwhile, the importance for a company to attract and retain a high-quality workforce is moving into the boardroom agenda, more and more attention is
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Wang, Alex Christopher. "Feature Factory : a collaborative, crowd-sourced machine learning system." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100859.

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Thesis: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (page 71).<br>In this thesis, I designed, implemented, and tested a machine learning learning system designed to crowd-source feature discovery called Feature Factory. Feature Factory provides a
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Jones, H. Earl 1966. "Factory-installation of software on workstations and servers." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80492.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (p. 69).<br>by H. Earl Hones, III.<br>S.M.
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Granstrand, Anna-Klara. "Mega Factory and Social Trust : Once in Skellefteå you are a Skelleftener?" Thesis, Umeå universitet, Statsvetenskapliga institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184614.

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In my hometown Skellefteå in the north of Sweden, Northvolt is building a mega factory for the production of lithium batteries. Labour supply for this massive new industry will demanda large influx of people from all around the world. The rather homogeneous population of Skellefteå, characterized by high levels of social trust and cohesion, is expected to grow with up to 20% the coming decade, largely due to immigration. Research suggests that ethnic diversity might have negative effects on social trust and cohesion, but the evidence is mixed and seemingly context specific. The purpose of this
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Wu, Yonglin M. Eng Massachusetts Institute of Technology. "Model factory : a new way to look at data through models." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106392.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (page 67).<br>In this thesis, we present Model Factory, a software framework that is able to generate predictive models from raw data. We present two foundational representations for data: an event-driven time series and a feature
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Chierotti, Marco 1960. "Factory design layout: A combined artificial intelligence and simulation approach." Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/291994.

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This thesis proposes a methodology for factory layout synthesis that combines the symbolic and numerical approaches. The layout model is represented as a loosely packed arrangement of rectangles with sides parallel to two orthogonal directions. Solutions must satisfy a set of qualitative and quantitative constraints and must optimize material handling costs. Qualitative constraints are specified using a rule based approach. Quantitative constraints and material handling costs are incorporated into a numerical, non linear-optimization problem. Optimal solutions are generated by inserting one de
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Stamatopoulos, Miltiadis Aris. "A factory representation as a design tool in a computer integrated manufacturing environment." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/36471.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.<br>Includes bibliographical references (leaves 118-119).<br>by Miltiadis Aris Stamatopoulos.<br>M.S.
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Sandberg, Pontus. "A work process supporting the implementation of smart factory technologies developed in smart factory compliant laboratory environment." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44257.

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The industry is facing major challenges today. The challenges are tougher global competition, customers who require individualized products and shorter product lifecycles. The predicted industrial revolution is a way to deal with these challenges. Industry 4.0 includes strategies linked to several technologies that will meet the new needs. Smart factory is a central concept in industry 4.0, which involves connected technologies of various kinds. Such as digital manufacturing technology, network communication technology, computer technology, automation technology and several other areas. In thi
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Books on the topic "Factory science"

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Ligotti, Thomas. The nightmare factory. Carroll & Graf Publishers, 1996.

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L, Spearman Mark, ed. Factory physics. 3rd ed. McGraw-Hill/Irwin/Irwin, 2008.

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L, Spearman Mark, ed. Factory physics. 3rd ed. McGraw-Hill/Irwin/Irwin, 2008.

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H, Zhang Kevin, ed. China as the world factory. Routledge, 2006.

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Meyer, W. Expert systems in factory management: Knowledge-based CIM. E. Horwood, 1990.

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Science Factory. Copper Beech, 2000.

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Richards, Jon. Magnets (Science Factory). Franklin Watts Ltd, 1999.

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Flaherty, Michael. Electricity (Science Factory). Copper Beech, 1999.

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Richards, Jon. Chemicals (Science Factory). Franklin Watts Ltd, 2002.

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Flaherty, Michael. Electricity (Science Factory). Franklin Watts Ltd, 2002.

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Book chapters on the topic "Factory science"

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Ganem, Joseph. "Misunderstanding Science Education." In The Robot Factory. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77860-0_5.

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Ganem, Joseph. "What Science Is and Is Not." In The Robot Factory. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77860-0_1.

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Ganem, Joseph. "The Complexity Myth: The Opposite of Science." In The Robot Factory. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77860-0_3.

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Kleinjung, Thorsten, Joppe W. Bos, and Arjen K. Lenstra. "Mersenne Factorization Factory." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45611-8_19.

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Sacco, Marco, Giovanni Dal Maso, Ferdinando Milella, Paolo Pedrazzoli, Diego Rovere, and Walter Terkaj. "Virtual Factory Manager." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22024-1_44.

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Atherton, Linda F., and Robert W. Atherton. "Factory Phenomena." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4613-1291-8_2.

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Atherton, Linda F., and Robert W. Atherton. "Factory Modeling." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4613-1291-8_7.

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Atherton, Linda F., and Robert W. Atherton. "Factory Performance Basics." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4613-1291-8_5.

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van Mosseveld, Anneke. "Science Takes Command." In The Australian Army Uniform and the Government Clothing Factory. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71425-7_7.

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Inmon, Bill. "The Corporate Information Factory." In Operations Research/Computer Science Interfaces Series. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0505-1_13.

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Conference papers on the topic "Factory science"

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Fakinle, Bamidele Sunday, Daniel Olawale Oke, Jacob Ademola Sonibare, Abiodun John Adewale, Abigail Omolara Adetoyese, and Oluwakayode Olanrewaju Fasuuhan. "Assessment of Factory Workers Exposure to Particulate Matter Fractions using Exceedance Factor and Pollution Standard Index." In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG). IEEE, 2024. http://dx.doi.org/10.1109/seb4sdg60871.2024.10630255.

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Hurst, William, Orestis Spyrou, and Caspar Krampe. "The Data Factory: Findings from an Extended Reality-based Hackathon for Data Science Education." In 2024 10th International Conference on Virtual Reality (ICVR). IEEE, 2024. https://doi.org/10.1109/icvr62393.2024.10867973.

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Gao, Yanfang, and Fuxiang Gao. "Research on Short Text Speech Understanding Methods for Factory Applications." In 2024 4th International Conference on Electronic Information Engineering and Computer Science (EIECS). IEEE, 2024. https://doi.org/10.1109/eiecs63941.2024.10800630.

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Archana, T., A. Hema Malini, R. Kishore Kumar, Devalla Bhanu Prakash, S. Kumaran, and Srigitha S. Nath. "Smart Factory Integration with IIoT and Machine Learning for Optimized Manufacturing." In 2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM). IEEE, 2025. https://doi.org/10.1109/ictmim65579.2025.10988051.

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Guo, Xinyue, Shuxuan Zhao, Zhengxu Zhu, and Ray Y. Zhong. "Industrial Internet of Things (IIoT)-enabled Decentralized Computation Offloading in Smart Factory." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711646.

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Li, Chenhui, Liansheng Wang, Xinke Zhang, Xuesong Zhang, Jianjun Yi, and Hangbo Ye. "BEVTrajNet: Bird's Eye View Trajectory Prediction in Factory Scenarios Based on LiDAR Data." In 2024 4th Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS). IEEE, 2024. http://dx.doi.org/10.1109/acctcs61748.2024.00059.

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Barnes, Michael J., R. Hsu, N. Hsu, et al. "A computer science courseware factory." In the seventeenth SIGCSE technical symposium. ACM Press, 1986. http://dx.doi.org/10.1145/5600.5633.

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Kusiak, Andrew. "Innovation Science." In 2006 IEEE Conference on Emerging Technologies and Factory Automation. IEEE, 2006. http://dx.doi.org/10.1109/etfa.2006.355349.

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Narang, Yashraj, Kier Storey, Iretiayo Akinola, et al. "Factory: Fast Contact for Robotic Assembly." In Robotics: Science and Systems 2022. Robotics: Science and Systems Foundation, 2022. http://dx.doi.org/10.15607/rss.2022.xviii.035.

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En'yo, Hideto. "RIKEN Radio Isotope Beam Factory: Japanese Flagship for Nuclear Science." In International African Symposium on Exotic Nuclei. WORLD SCIENTIFIC, 2014. http://dx.doi.org/10.1142/9789814632041_0005.

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Reports on the topic "Factory science"

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López Bóo, Florencia, and Nicolás Ajzenman. 10 Lessons About Behavioral Economics for Policy Making in the Social Sector. Inter-American Development Bank, 2018. http://dx.doi.org/10.18235/0008045.

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Behavioral Economics is the science of evaluating psychological, cognitive, emotional, cultural and social factors and their impact on economic decisions. Enhancing our knowledge on Behavioral Sciences and their impact on public policies is a priority. The present document explores this intersection and offers 10 lessons for policy making in the social sector.
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Pelham, J. Factors affecting retention in science-based curriculums at HBCUs. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6079712.

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Pelham, J. Factors affecting retention in science-based curriculums at HBCUs. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/10110843.

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Human Factors Committee, OSAC. Human Factors in Validation and Performance Testing of Forensic Science. Organization of Scientific Area Committees (OSAC) for Forensic Science, 2020. http://dx.doi.org/10.29325/osac.ts.0004.

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Kokurina, Olga Yu. SOCIETAL-METABOLIC SYSTEM OF THE STATE: EXPERIENCE OF SYNTHETIC RESEARCH. THE ELECTRONIC MANUAL. SIB-Expertise, 2023. http://dx.doi.org/10.12731/er0756.18122023.

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This electronic manual presents a number of theoretical and methodological tools based on the key concept: “societal (social) metabolism.” In summary, the synthetic concept of societal metabolism goes beyond the perspective of traditional social sciences by contextualizing the biophysical dimension of metabolic exchange between society and nature. Distancing from reductionist approaches, the interdisciplinary concept of societal metabolism recognizes the importance of mutual connections and interactions of factors of material and social exchange, within the framework of established individual
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Vostrikov, Alexander. Physics and material science of ultra-high quality factor superconducting resonator. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1221362.

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Mshelia, Arhyel. Prevalence, risk factors, and antimicrobial resistance of Streptococcus suis and Campylobacter species in pigs: a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0053.

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Review question / Objective: What are the global prevalence, risk factors, and antimicrobial resistance of Streptococcus suis and Campylobacter species in pigs? /To determine the occurrence, associated factors, and antimicrobial resistance of the isolates of Streptococcus suis and Campylobacter species of Pigs worldwide. Information sources: The intended information sources are 20 electronic databases: MEDLINE® - (Mesh, Ovid Medline, Ovid PsycINFO, PubMed), Scopus®, ProQuest®, Google Scholar®, Web of Science® (ISI), EBSCO®, SciELO®, Wiley®, Compendex® - Engineering Village, Emerald®, Embase® -
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Zhou, Ruoyu, Wenjie Yang, Ming Wu, Yu Wang, and Liqiong Wang. A meta-analysis of prevalence and risk factors of Internet pornography addiction among adolescents. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.1.0013.

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Review question / Objective: To provide an overview of prevalence and risk factor for Internet pornography addiction in adolescents according to meta-analyses. Condition being studied: Internet pornography addiction：A psychopathic state of being addicted to adult-talking chat rooms and online pornographic literature and videos. Research into the area of addictive sexual behaviors on the Internet began with an inquiry into the various constructs surrounding compulsive sexual behavior. Information sources: For literature on mindfulness practice for adolescent emotional disorders published before
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McGee, Steven, Ronald I. Greenberg, Lucia Dettori, et al. An Examination of Factors Correlating with Course Failure in a High School Computer Science Course. The Learning Partnership, 2018. http://dx.doi.org/10.51420/report.2018.1.

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Across the United States, enrollment in high school computer science (CS) courses is increasing. These increases, however, are not spread evenly across race and gender. CS remains largely an elective class, and fewer than three-fourths of the states allow it to count towards graduation. The Chicago Public Schools has sought to ensure access for all students by recently enacting computer science as a high school graduation requirement. The primary class that fulfills the graduation requirement is Exploring Computer Science (ECS), a high school introductory course and professional development pr
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Langlais, Pierre-Carl. Languages of science. Comité pour la science ouverte, 2024. https://doi.org/10.52949/71.

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Scientific languages are vehicular languages used by one or several scientitific communities for international communication. According to Michael Gordin, they are “either specific forms of a given language that are used in conducting science, or they are the set of distinct languages in which science is done”. Until the 19th century, classical languages such as Latin, Classical Arabic, Sanskrit, or Classical Chinese were commonly used across Eurasia for the purpose of international scientific communication. A combination of structural factors, the emergence of nation-states in Europe, the Ind
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