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Integrating Smart Production Planning into Smart Production 9110364 9110364 2020 Industry 4.0 R&D is currently driving the emergence of Smart Production Environments (SPE) where the manufacturing of new products takes place very flexibly and dynamically in several steps and locations, possibly distributed all over the world. Companies involved in such smart productions act in highly competitive global markets and always have to find new ways to, e.g., cut costs by changing to the best providers, or enabling, e.g., tax savings, to stay competitive. This can only be achieved by using the fastest, most effective, efficient, and flexible distributed collaborative production processes. In this context, a Collaborative Adaptive Production Process Planning (CAPPP) can be supported by semantic product data management approaches enabling production-knowledge representation, utilization, curation, and archival as well as knowledge sharing, access, and reuse in many flexible and efficient ways. To support such scenarios, semantic representation of production knowledge integrated into a machine-readable process formalization is a key enabling factor for sharing such explicit knowledge resources in cloud-based production knowledge repositories. Our approach of Knowledge-Based Production Planning (KPP) introduces such a method and already provides a corresponding prototypical Proof-of-Concept implementation. In this way, it can not only be used in production planning but also, e.g., in Collaborative Manufacturing Change Management (CMCM) as well as, e.g., in Collaborative Assembly-, Logistics-and Layout Planning (CALLP) both building on the results of CAPPP. Therefore, a collaborative planning and optimization from mass to lot-size one production in a machine readable and processable representation will be possible. On the other hand, KPP knowledge can be shared to support other types of innovation, collaboration, and cocreation within a cloud-based semantic production knowledge repository. © 2020 IEEE. 2020 true true true true false false NONE 2024-02-14 false 0 0 0 0 0 0 0 0 0 0 0 0 1 1 false false false false 2020-12-05T19:32:55.068+0000 1 3 0 3 0 true true 10002 English /api/language/10002 Angol Language true 2 false true 10939 true 10017 /api/country/10017 Country true 13 /api/city/10939 City true 2054246 true 16947522 IDENTICAL /api/publicationidentifier/16947522 https://www.worldcat.org/search?q=isbn%3A9781728149738 9781728149738 PublicationIdentifier true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource true true 10002 /api/publicationsourcetype/10002 PublicationSourceType true false 122 true false /api/publication/31328426 true true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book NOMS 2020 - 2020 IEEE/IFIP Network Operations 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class="autype autype-1"> <span class="author-name" >IEEE </span> (eds.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;31328426" target="_blank">NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium: Management in the Age of Softwarization and Artificial Intelligence </a></div> <div class="conference"> Conference: <span class="location">Bp, Hungary <span class="conference-date">2020.04.20. - 2020.04.24.</span> </div> <span class="publishedAt">Piscataway (NJ): <span class="publishers">Institute of Electrical and Electronics Engineers</span>, <span class="page"> Paper 9110364. </span> <span class="year">(2020)</span> ( <span class="seriesTitle">IEEE IFIP Network Operations and Management Symposium</span> <span class="issn">1542-1201</span> ) </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.1109/NOMS47738.2020.9110364" target="_blank" href="https://doi.org/10.1109/NOMS47738.2020.9110364"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="000716920500090" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000716920500090"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="85086769285" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85086769285"> Scopus </a> </span> </span> <span class="bookchapter-ids">Book link(s):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:blue" title="9781728149738" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9781728149738"> 9781728149738 </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;31708357&sort=publishedYear,desc&sort=title"> Number of cited publications: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 31708357</span> | <span class="status-data status-ADMIN_APPROVED"> Admin approved </span> <span class="long-book-mtid">Book: 31328426</span> Citing Suspect | <span class="type-subtype">Chapter in Book ( Conference paper ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Last Modified: 2023.11.23. 16:48 Erika Szatmári (BME admin4) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Conference code: 160952 Export Date: 6 December 2020</pre> </div> </div>