Literatura científica selecionada sobre o tema "Data Product"
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Artigos de revistas sobre o assunto "Data Product"
Do, Namchul. "Education and Training of Product Data Analytics using Product Data Management System". Korean Journal of Computational Design and Engineering 22, n.º 1 (1 de março de 2017): 80–88. http://dx.doi.org/10.7315/cde.2017.080.
Texto completo da fonteLeong, K. K., K. M. Yu e W. B. Lee. "Product data allocation for distributed product data management system". Computers in Industry 47, n.º 3 (março de 2002): 289–98. http://dx.doi.org/10.1016/s0166-3615(01)00152-x.
Texto completo da fonteDo, Namchul. "Integration of Social Media with Product Data Management for Collaborative Product Design". Journal of Korean Institute of Industrial Engineers 42, n.º 1 (15 de fevereiro de 2016): 50–56. http://dx.doi.org/10.7232/jkiie.2016.42.1.050.
Texto completo da fonteKrisnanto, Umbas, J. Juharsah, Purnama Putra, Andini Dani Achmad e Elkana Timotius. "Utilizing Apriori Data Mining Techniques on Sales Transactions". Webology 19, n.º 1 (28 de janeiro de 2022): 5581–90. http://dx.doi.org/10.14704/web/v19i1/web19376.
Texto completo da fonteShaw, N. K., M. Susan Bloor e A. de Pennington. "Product data models". Research in Engineering Design 1, n.º 1 (março de 1989): 43–50. http://dx.doi.org/10.1007/bf01580002.
Texto completo da fonteVergeest, JSM. "Product Data Exchange". Computer-Aided Design 28, n.º 8 (agosto de 1996): 665. http://dx.doi.org/10.1016/0010-4485(96)86818-7.
Texto completo da fonteMOCHIZUKI, Tatsuya. "Product Data Management". Journal of the Japan Society for Precision Engineering 72, n.º 2 (2006): 161–64. http://dx.doi.org/10.2493/jjspe.72.161.
Texto completo da fonteWerder, Karl, Stefan Seidel, Jan Recker, Nicholas Berente, John Gibbs, Nouredine Abboud e Yossef Benzeghadi. "Data-Driven, Data-Informed, Data-Augmented: How Ubisoft’s Ghost Recon Wildlands Live Unit Uses Data for Continuous Product Innovation". California Management Review 62, n.º 3 (27 de abril de 2020): 86–102. http://dx.doi.org/10.1177/0008125620915290.
Texto completo da fonteSilvola, Risto, Arto Tolonen, Janne Harkonen, Harri Haapasalo e Tarja Mannisto. "Defining one product data for a product". International Journal of Business Information Systems 30, n.º 4 (2019): 489. http://dx.doi.org/10.1504/ijbis.2019.099308.
Texto completo da fonteMannisto, Tarja, Arto Tolonen, Harri Haapasalo, Janne Harkonen e Risto Silvola. "Defining one product data for a product". International Journal of Business Information Systems 30, n.º 4 (2019): 489. http://dx.doi.org/10.1504/ijbis.2019.10020637.
Texto completo da fonteTeses / dissertações sobre o assunto "Data Product"
Morshedzadeh, Iman. "Data Classification in Product Data Management". Thesis, Högskolan i Skövde, Institutionen för teknik och samhälle, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-14651.
Texto completo da fonteČvančarová, Lenka. "MDM of Product Data". Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150246.
Texto completo da fonteParviainen, A. (Antti). "Product portfolio management requirements for product data management". Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201409021800.
Texto completo da fonteFlankegård, Filip. "The use of data within Product Development of manufactured products". Thesis, Mälardalens högskola, Innovation och produktrealisering, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35084.
Texto completo da fonteAntonov, Anton. "Product Information Management". Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150108.
Texto completo da fonteHannila, H. (Hannu). "Towards data-driven decision-making in product portfolio management:from company-level to product-level analysis". Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526224428.
Texto completo da fonteTiivistelmä Tuotteet ja palvelut ovat yrityksille kriittisiä, sillä ne luovat perustan yritysten taloudelliselle menestykselle. Kaksikymmentä prosenttia yrityksen tuotteista edustaa tyypillisesti noin kahdeksaakymmentä prosenttia myyntimääristä. Siitä huolimatta tuoteporfoliopäätöksiin — kuinka strategisesti uudistetaan yrityksen tuotetarjoomaa — liittyy tunteita, lemmikkituotteita ja kuka-huutaa-kovimmin -mentaliteettia faktojen, numeroiden ja kvantitatiivisten analyysien puuttuessa. Kannattavuutta mitataan ja raportoidaan tällä hetkellä yritystasolla, ja yritykset eivät näyttäisi pystyvän mittaamaan tuotetason kannattavuutta johdonmukaisesti. Tämä estää yrityksiä ylläpitämästä ja uudistamasta tuotevalikoimaansa strategisesti tai kaupallisesti tasapainoisella tavalla. Tämän tutkimuksen päätavoite on tarjota dataohjattu (data-driven) tuoteportfoliohallinnan konsepti, joka tunnistaa ja visualisoi reaaliajassa ja faktapohjaisesti, mitkä yrityksen tuotteet ovat samanaikaisesti strategisia ja kannattavia ja mikä on niiden osuus tuoteportfoliossa. Tämä väitöskirja on laadullinen tutkimus, jossa yhdistyy kirjallisuuskatsaus, yrityshaastattelut, havainnot ja yritysten sisäinen dokumentaatio, joiden pohjalta pyritään kohti dataohjautuvaa päätöksentekoa tuoteportfolion hallinnassa. Tämä tutkimus osoittaa, että yrityksen data assettit on yhdistettävä ja hallittava yrityksenlaajuisesti, jotta yrityksen strategisten assettien — DATAN — potentiaali voidaan hyödyntää kokonaisuudessaan. Data on hallittava erillään yrityksen IT-teknologiasta ja sen yläpuolella. Ennen dataa ja teknologiaa on omaksuttava dataohjattu yrityskulttuuri. Dataohjatun tuoteportfolionhallinnan konsepti yhdistää keskeiset liiketoimintaprosessit, liiketoiminnan IT-järjestelmät ja useita konsepteja, kuten tuotteistaminen, tuotteen elinkaaren hallinta ja tuoteportfolion hallinta. Yhteisymmärrys yrityksen tuotteista ja sekä kaupallisen että teknisen tuoterakenteet luominen vastaavasti on ennakkoedellytys dataohjatulle tuoteportfolion hallinnalle, koska ne muodostavat yrityksen liiketoiminnan selkärangan, joka yhdistää kaikki tuotteisiin liittyvät liiketoimintakriittiset tiedot tuotetason kannattavuuden analysoimiseksi. Lisäksi tarvitaan tuotteiden kategorisointi strategisiin, tukeviin ja ei-strategisiin tuotteisiin, koska tuotteen strateginen luonne voi muuttua tuotteen elinkaaren aikana, johtuen esimerkiksi teknologian vanhenemisesta, kilpailijoiden häiritsevistä innovaatioista tai mistä tahansa muusta syystä
Hooi, Leng Lee. "Application of product data management within the product development process". Thesis, University of Huddersfield, 2002. http://eprints.hud.ac.uk/id/eprint/14688/.
Texto completo da fonteSun, Tao. "Product Context Analysis with Twitter Data". Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13526.
Texto completo da fonteRomaniuk, Helena. "Analysis of product usage panel data". Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326798.
Texto completo da fonteHines, Erisa K. (Erisa Kimberly). "Lifecycle perspectives on product data management". Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34141.
Texto completo da fonteIncludes bibliographical references (p. 106-109).
Implementing a new IT system often requires the enterprise to transform in order to maximally leverage the capabilities generated by the new system. The challenge in using IT as an enabler to change arises from the need to synergistically redesign processes, develop and implement a solution using internal talent and external suppliers, and establish adoption by users. Product Data Management (PDM) technology represents a substantial portion of large industry IT investment over the last decade. The ability to manage and deliver product data throughout the lifecycle has become increasingly important to the aerospace enterprise as products become more complex, cost and development cycles shorten, and customer, partner, and supplier relationships evolve. Currently, the aerospace community does not have capability to provide traceability from requirements and design through field maintenance. While initially an attempt to understand the application of PDM in product development, what emerged was a study in how PDM affects and enables lean enterprise transformation. The selection, development, and deployment of PDM solutions were studied in the aerospace industry in order to enable better implementation decisions in varying complex environments. Organizational, technical, and cultural factors were considered as they contribute to a PDM's effectiveness. .
(cont.) A current-state observation of nine aerospace company sites highlights the difficulty in reaching the technology's full potential to deliver customer value. Data show that PDMs are being used primarily to manage design engineering data and are not tightly integrated with other business systems. The data also show a distinct difference between prime and supplier companies' spending on and capability of their respective data management systems. While the value of PDM to product development includes better data quality, traceability and transparency, value to the enterprise is also found beyond the traditional role of PDM. Looking horizontally across the lifecycle and vertically through the hierarchical relationships, PDM provides opportunities for organizational and process change and stakeholder involvement, both important tenets for evolving into a lean enterprise. This conclusion is supported by both the site interviews and the two case studies
by Erisa K. Hines.
S.M.
Livros sobre o assunto "Data Product"
CIMdata. Product-data management. London: Department of Trade and Industry, 1994.
Encontre o texto completo da fonteBloor, M. Susan. Product data exchange. London: UCL Press, 1995.
Encontre o texto completo da fonteCorporation, Dallas Semiconductor. Product data book. Dallas, Tex: Dallas Semiconductor Corporation., 1987.
Encontre o texto completo da fonte(Firm), Harris Semiconductor. Digital product data book. Florida: Harris Semiconductor, 1988.
Encontre o texto completo da fonteLimited, IQD. Crystal product data book. Crewkerne: IQD Limited, 1994.
Encontre o texto completo da fonteLimited, IQD. Crystal product data book. Crewkerne: IQD Limited, 1995.
Encontre o texto completo da fonteCorporation, Harris. Analog product data book. [Boston, Mass.]: Harris, 1986.
Encontre o texto completo da fonteCorporation, ILC Data Device. Data converters product catalog. Bohemia, N.Y: ILC DDC, 1989.
Encontre o texto completo da fonte(Firm), Shell UK Oil. Product safety data sheet. London: Shell UK oil, 1985.
Encontre o texto completo da fonteOhio-Kentucky-Indiana Regional Council of Governments e Ohio-Kentucky-Indiana Regional Council of Governments. Decision Resources Center, eds. Regional data product catalog. Cincinnati, Ohio: Ohio-Kentucky-Indiana Regional Council of Governments, 1988.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Data Product"
Stark, John. "Product Data". In Decision Engineering, 115–45. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-546-0_7.
Texto completo da fonteStark, John. "Product Data". In Product Lifecycle Management (Volume 2), 145–80. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24436-5_8.
Texto completo da fonteYin, Yong, Ikou Kaku, Jiafu Tang e JianMing Zhu. "Product Architecture and Product Development Process for Global Performance". In Data Mining, 133–55. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-338-1_8.
Texto completo da fonteMechlinski, Thomas, e Andreas Schreiber. "Product Data Management". In IFIP Advances in Information and Communication Technology, 233–40. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35577-1_15.
Texto completo da fonteSheth, Sharad. "Product Data Management". In CAD/CAM Robotics and Factories of the Future, 446–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52320-5_75.
Texto completo da fonteKerkhove, Louis-Philippe. "Managing Product Returns". In Data-driven Retailing, 161–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12962-9_6.
Texto completo da fonteBall, Robert, e Brian Rague. "Final Product". In The Beginner's Guide to Data Science, 241–48. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07865-1_11.
Texto completo da fonteAnderl, Reiner, e Martin Momberg. "Authentication of product data and product components". In Information Infrastructure Systems for Manufacturing II, 275–86. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35385-2_19.
Texto completo da fontePaffrath, Rainer. "Mining Product Configurator Data". In Modern Concepts of the Theory of the Firm, 110–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08799-2_7.
Texto completo da fonteÅsebø, Olav. "Product Data Management Systems". In Enterprise Modeling, 201–16. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4475-3_13.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Data Product"
"GATHERING PRODUCT DATA FROM SMART PRODUCTS". In 10th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001700302520257.
Texto completo da fonteAttokurov, Ulukbek, Okan Kaya e Mehmet Selman Sezgin. "Product Recommendation Based on Embeddings: People Who Viewed This Product Also Viewed These Products". In 2022 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2022. http://dx.doi.org/10.1109/bigcomp54360.2022.00063.
Texto completo da fonteVrampas, George, Corey Kado, Xiaoou Yang, Elisabeth Kames e Beshoy Morkos. "Collecting Product Design Data: Examining the Applicability of Utilizing Gaze Data to Obtain Customer Feedback on Product Designs". In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-117130.
Texto completo da fonteMitik, Merve, Ozan Korkmaz, Pinar Karagoz, Ismail Hakki Toroslu e Ferhat Yucel. "Data Mining Based Product Marketing Technique for Banking Products". In 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW). IEEE, 2016. http://dx.doi.org/10.1109/icdmw.2016.0085.
Texto completo da fonteEntezari, Negin, Evangelos E. Papalexakis, Haixun Wang, Sharath Rao e Shishir Kumar Prasad. "Tensor-based Complementary Product Recommendation". In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671938.
Texto completo da fonteMicol, Alberto, Magda Arnaboldi, Nausicaa A. R. Delmotte, Laura Mascetti e Joerg Retzlaff. "ESO science data product standard for 1D spectral products". In SPIE Astronomical Telescopes + Instrumentation, editado por Alison B. Peck, Robert L. Seaman e Chris R. Benn. SPIE, 2016. http://dx.doi.org/10.1117/12.2232655.
Texto completo da fonteYoshimura, Masataka, Tsutomu Nishimura e Kazuhiro Izui. "Acquisition of Product Design Guidelines Considering User Kansei Data Pertaining to Product Environments". In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85160.
Texto completo da fonteStorch, Tobias, Martin Bachmann, Hans-Peter Honold, Hermann Kaufmann, Harald Krawczyk, Rupert Muller, Bernhard Sang, Mathias Schneider, Karl Segl e Christian Chlebek. "ENMAP data product standards". In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947002.
Texto completo da fonteFu, Xin, e Hernán Asorey. "Data-Driven Product Innovation". In KDD '15: The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2783258.2789994.
Texto completo da fonteGrote, Karl-H., e Soeren Schumann. "Intelligent Product Data Exchange". In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/eim-9010.
Texto completo da fonteRelatórios de organizações sobre o assunto "Data Product"
Smith, Bradford M. Product data exchange:. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4165.
Texto completo da fonteAltemueller, Jeffrey, Kelly Chi, Gary Baldridge, Lori Davis e Phillip Dorr. Product Definition Data Interface (PDDI) Product Specification. Fort Belvoir, VA: Defense Technical Information Center, julho de 1991. http://dx.doi.org/10.21236/ada239256.
Texto completo da fonteAbeye, Binyam, Edward Barkmeyer e Peter Denno. Product data sheet ontology. Gaithersburg, MD: National Institute of Standards and Technology, dezembro de 2014. http://dx.doi.org/10.6028/nist.ir.8035.
Texto completo da fonteENSR CONSULTING AND ENGINEERING FLORENCE AL. RAMP Product Data Translation System Printed Wiring Assembly Product Data Definition Document. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 1992. http://dx.doi.org/10.21236/ada251560.
Texto completo da fonteBrei, Marylouise. Exchange Standards for Electronic Product Data. Fort Belvoir, VA: Defense Technical Information Center, outubro de 1988. http://dx.doi.org/10.21236/ada205729.
Texto completo da fonteSmith, Bradford M. External representation of product definition data. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4166.
Texto completo da fonteCarver, Gary P., e Howard M. Bloom. Concurrent engineering through product data standards. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4573.
Texto completo da fonteParks, Curtis. Internet commerce for manufacturing product data. Gaithersburg, MD: National Institute of Standards and Technology, 1999. http://dx.doi.org/10.6028/nist.ir.6320.
Texto completo da fonteFlater, David, e KC Morris. Testability of product data management interfaces. Gaithersburg, MD: National Institute of Standards and Technology, 1999. http://dx.doi.org/10.6028/nist.ir.6429.
Texto completo da fonteMitchell, Mary, Yuhwei Yang, Steve Ryan e Bryan Martin. Data model development and validation for product data exchange. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.90-4241.
Texto completo da fonte