Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61797
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dc.contributor.authorWaris, Mohammad Maqboolen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
local.source.editorEditor(s): Edward Szczerbicki and Cesar Saninen
dc.date.accessioned2024-07-25T03:02:12Z-
dc.date.available2024-07-25T03:02:12Z-
dc.date.issued2020-
dc.identifier.citationKnowledge Management and Engineering with Decisional DNA, p. 201-248en
dc.identifier.isbn9783030396015en
dc.identifier.isbn9783030396039en
dc.identifier.isbn9783030396008en
dc.identifier.urihttps://hdl.handle.net/1959.11/61797-
dc.description.abstract<p>Knowledge-based Engineering Systems are founded upon integration of knowledge into computer systems and are one of the core requirements for the future Industry 4.0. Since the fourth industrial revolution is passing through the developing phase, implementation of Cyber-Physical Production Systems require more realistic approach. Knowledge Management and Knowledge Engineering plays an important role in manufacturing industries facing global competition. One of the most promising areas where Knowledge Management is studied and applied is product innovation. This chapter presents the idea of Smart Innovation Engineering (SIE) System based on Set of Experience and Decisional DNA that facilitates the process of product innovation. It collects the experiential knowledge from the formal decisional event from the group of similar products having some common functions and features. The SIE system behaves like a group of experts in its domain as it collects, captures and stores the experiential knowledge and reuses this experiential knowledge as well that ultimately enhances the innovation process. The analysis of basic concepts and implementation method proves that SIE system is an advanced form of Cyber Physical Systems. It is flexible, systematic, fast, and supports customization. It can play a vital role towards Industry 4.0 development.</p>en
dc.languageenen
dc.publisherSpringeren
dc.relation.ispartofKnowledge Management and Engineering with Decisional DNAen
dc.relation.ispartofseriesIntelligent Systems Reference Libraryen
dc.relation.isversionof1en
dc.titleSmart Innovation Engineering Using Set of Experience and Decisional DNAen
dc.typeBook Chapteren
dc.identifier.doi10.1007/978-3-030-39601-5_7en
local.contributor.firstnameMohammad Maqboolen
local.contributor.firstnameCesaren
local.contributor.firstnameEdwarden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcmaldon3@une.edu.auen
local.output.categoryB1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSwitzerlanden
local.identifier.totalchapters7en
local.format.startpage201en
local.format.endpage248en
local.series.number183en
local.peerreviewedYesen
local.contributor.lastnameWarisen
local.contributor.lastnameSaninen
local.contributor.lastnameSzczerbickien
dc.identifier.staffune-id:cmaldon3en
local.profile.orcid0000-0001-8515-417Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61797en
local.date.onlineversion2020-02-05-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleSmart Innovation Engineering Using Set of Experience and Decisional DNAen
local.output.categorydescriptionB1 Chapter in a Scholarly Booken
local.search.authorWaris, Mohammad Maqboolen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2020en
local.year.published2020en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-20en
Appears in Collections:Book Chapter
School of Science and Technology
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