Auswahl der wissenschaftlichen Literatur zum Thema „Data Product“
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Zeitschriftenartikel zum Thema "Data Product"
Do, Namchul. „Education and Training of Product Data Analytics using Product Data Management System“. Korean Journal of Computational Design and Engineering 22, Nr. 1 (01.03.2017): 80–88. http://dx.doi.org/10.7315/cde.2017.080.
Der volle Inhalt der QuelleLeong, K. K., K. M. Yu und W. B. Lee. „Product data allocation for distributed product data management system“. Computers in Industry 47, Nr. 3 (März 2002): 289–98. http://dx.doi.org/10.1016/s0166-3615(01)00152-x.
Der volle Inhalt der QuelleDo, Namchul. „Integration of Social Media with Product Data Management for Collaborative Product Design“. Journal of Korean Institute of Industrial Engineers 42, Nr. 1 (15.02.2016): 50–56. http://dx.doi.org/10.7232/jkiie.2016.42.1.050.
Der volle Inhalt der QuelleKrisnanto, Umbas, J. Juharsah, Purnama Putra, Andini Dani Achmad und Elkana Timotius. „Utilizing Apriori Data Mining Techniques on Sales Transactions“. Webology 19, Nr. 1 (28.01.2022): 5581–90. http://dx.doi.org/10.14704/web/v19i1/web19376.
Der volle Inhalt der QuelleShaw, N. K., M. Susan Bloor und A. de Pennington. „Product data models“. Research in Engineering Design 1, Nr. 1 (März 1989): 43–50. http://dx.doi.org/10.1007/bf01580002.
Der volle Inhalt der QuelleVergeest, JSM. „Product Data Exchange“. Computer-Aided Design 28, Nr. 8 (August 1996): 665. http://dx.doi.org/10.1016/0010-4485(96)86818-7.
Der volle Inhalt der QuelleMOCHIZUKI, Tatsuya. „Product Data Management“. Journal of the Japan Society for Precision Engineering 72, Nr. 2 (2006): 161–64. http://dx.doi.org/10.2493/jjspe.72.161.
Der volle Inhalt der QuelleWerder, Karl, Stefan Seidel, Jan Recker, Nicholas Berente, John Gibbs, Nouredine Abboud und 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, Nr. 3 (27.04.2020): 86–102. http://dx.doi.org/10.1177/0008125620915290.
Der volle Inhalt der QuelleSilvola, Risto, Arto Tolonen, Janne Harkonen, Harri Haapasalo und Tarja Mannisto. „Defining one product data for a product“. International Journal of Business Information Systems 30, Nr. 4 (2019): 489. http://dx.doi.org/10.1504/ijbis.2019.099308.
Der volle Inhalt der QuelleMannisto, Tarja, Arto Tolonen, Harri Haapasalo, Janne Harkonen und Risto Silvola. „Defining one product data for a product“. International Journal of Business Information Systems 30, Nr. 4 (2019): 489. http://dx.doi.org/10.1504/ijbis.2019.10020637.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleČvančarová, Lenka. „MDM of Product Data“. Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150246.
Der volle Inhalt der QuelleParviainen, 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.
Der volle Inhalt der QuelleFlankegård, 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.
Der volle Inhalt der QuelleAntonov, Anton. „Product Information Management“. Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150108.
Der volle Inhalt der QuelleHannila, 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.
Der volle Inhalt der QuelleTiivistelmä 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/.
Der volle Inhalt der QuelleSun, 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.
Der volle Inhalt der QuelleRomaniuk, Helena. „Analysis of product usage panel data“. Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326798.
Der volle Inhalt der QuelleHines, Erisa K. (Erisa Kimberly). „Lifecycle perspectives on product data management“. Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34141.
Der volle Inhalt der QuelleIncludes 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.
Bücher zum Thema "Data Product"
CIMdata. Product-data management. London: Department of Trade and Industry, 1994.
Den vollen Inhalt der Quelle findenBloor, M. Susan. Product data exchange. London: UCL Press, 1995.
Den vollen Inhalt der Quelle findenCorporation, Dallas Semiconductor. Product data book. Dallas, Tex: Dallas Semiconductor Corporation., 1987.
Den vollen Inhalt der Quelle finden(Firm), Harris Semiconductor. Digital product data book. Florida: Harris Semiconductor, 1988.
Den vollen Inhalt der Quelle findenLimited, IQD. Crystal product data book. Crewkerne: IQD Limited, 1994.
Den vollen Inhalt der Quelle findenLimited, IQD. Crystal product data book. Crewkerne: IQD Limited, 1995.
Den vollen Inhalt der Quelle findenCorporation, Harris. Analog product data book. [Boston, Mass.]: Harris, 1986.
Den vollen Inhalt der Quelle findenCorporation, ILC Data Device. Data converters product catalog. Bohemia, N.Y: ILC DDC, 1989.
Den vollen Inhalt der Quelle finden(Firm), Shell UK Oil. Product safety data sheet. London: Shell UK oil, 1985.
Den vollen Inhalt der Quelle findenOhio-Kentucky-Indiana Regional Council of Governments und Ohio-Kentucky-Indiana Regional Council of Governments. Decision Resources Center, Hrsg. Regional data product catalog. Cincinnati, Ohio: Ohio-Kentucky-Indiana Regional Council of Governments, 1988.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "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.
Der volle Inhalt der QuelleStark, 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.
Der volle Inhalt der QuelleYin, Yong, Ikou Kaku, Jiafu Tang und 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.
Der volle Inhalt der QuelleMechlinski, Thomas, und 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.
Der volle Inhalt der QuelleSheth, 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.
Der volle Inhalt der QuelleKerkhove, 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.
Der volle Inhalt der QuelleBall, Robert, und 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.
Der volle Inhalt der QuelleAnderl, Reiner, und 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.
Der volle Inhalt der QuellePaffrath, 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.
Der volle Inhalt der QuelleÅsebø, 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "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.
Der volle Inhalt der QuelleAttokurov, Ulukbek, Okan Kaya und 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.
Der volle Inhalt der QuelleVrampas, George, Corey Kado, Xiaoou Yang, Elisabeth Kames und 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.
Der volle Inhalt der QuelleMitik, Merve, Ozan Korkmaz, Pinar Karagoz, Ismail Hakki Toroslu und 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.
Der volle Inhalt der QuelleEntezari, Negin, Evangelos E. Papalexakis, Haixun Wang, Sharath Rao und 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.
Der volle Inhalt der QuelleMicol, Alberto, Magda Arnaboldi, Nausicaa A. R. Delmotte, Laura Mascetti und Joerg Retzlaff. „ESO science data product standard for 1D spectral products“. In SPIE Astronomical Telescopes + Instrumentation, herausgegeben von Alison B. Peck, Robert L. Seaman und Chris R. Benn. SPIE, 2016. http://dx.doi.org/10.1117/12.2232655.
Der volle Inhalt der QuelleYoshimura, Masataka, Tsutomu Nishimura und 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.
Der volle Inhalt der QuelleStorch, Tobias, Martin Bachmann, Hans-Peter Honold, Hermann Kaufmann, Harald Krawczyk, Rupert Muller, Bernhard Sang, Mathias Schneider, Karl Segl und 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.
Der volle Inhalt der QuelleFu, Xin, und 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.
Der volle Inhalt der QuelleGrote, Karl-H., und 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "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.
Der volle Inhalt der QuelleAltemueller, Jeffrey, Kelly Chi, Gary Baldridge, Lori Davis und Phillip Dorr. Product Definition Data Interface (PDDI) Product Specification. Fort Belvoir, VA: Defense Technical Information Center, Juli 1991. http://dx.doi.org/10.21236/ada239256.
Der volle Inhalt der QuelleAbeye, Binyam, Edward Barkmeyer und Peter Denno. Product data sheet ontology. Gaithersburg, MD: National Institute of Standards and Technology, Dezember 2014. http://dx.doi.org/10.6028/nist.ir.8035.
Der volle Inhalt der QuelleENSR CONSULTING AND ENGINEERING FLORENCE AL. RAMP Product Data Translation System Printed Wiring Assembly Product Data Definition Document. Fort Belvoir, VA: Defense Technical Information Center, Januar 1992. http://dx.doi.org/10.21236/ada251560.
Der volle Inhalt der QuelleBrei, Marylouise. Exchange Standards for Electronic Product Data. Fort Belvoir, VA: Defense Technical Information Center, Oktober 1988. http://dx.doi.org/10.21236/ada205729.
Der volle Inhalt der QuelleSmith, 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.
Der volle Inhalt der QuelleCarver, Gary P., und 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.
Der volle Inhalt der QuelleParks, 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.
Der volle Inhalt der QuelleFlater, David, und 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.
Der volle Inhalt der QuelleMitchell, Mary, Yuhwei Yang, Steve Ryan und 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.
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