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dc.contributor.authorJozef, Stašák
dc.contributor.authorJaroslav, Kultan
dc.contributor.authorPeter, Schmidt
dc.contributor.authorAbu, Urinbasarovich
dc.date.accessioned2021-06-02T10:13:12Z
dc.date.available2021-06-02T10:13:12Z
dc.date.issued2020
dc.identifierONIX_20210602_10.5772/intechopen.95096_473
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/49359
dc.description.abstractThe business activities provided within any firm or company should be checked and controlled continuously, while two principal approaches should be applied: (a) qualitative monitoring, (b) quantitative evaluations, while KPI indicators play a role of principle importance within business quantitative evaluation in order to make adequate decisions. However, adequate applications form KPI creation and further processing seem to be very significant and important. We have designed a conceptual model of application denoted as BPLM Strategy Creator in form of expert system (ES) operating based on principles closely related to business process linguistic modeling approach, where linguistic sets and PBPL Equation play a role of principle importance. Our contribution contains such application description from qualitative, quantitative and design point of view. The ES qualitative description contains references to appropriate math relations and algorithms postulated within a subsequent section. Both sections are accompanied by the case study, which indicates how the math relations and algorithms might be applied within BPLM Strategy Creator functionality. However, those sections are accompanied by ES structure and functionality description as well, which represent the BPLM Strategy Creator mean or facility.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: generalen_US
dc.subject.otherkey performance, indicators, business, process, linguistic, modeling
dc.titleChapter Business Process Linguistic Modeling: Theory and Practice Part I: BPLM Strategy Creator
dc.typechapter
oapen.identifier.doi10.5772/intechopen.95096
oapen.relation.isPublishedBy09f6769d-48ed-467d-b150-4cf2680656a1
oapen.relation.isFundedByH2020-NMBP-CSA-2016
oapen.grant.number723867
oapen.grant.acronymEMMC-CSA


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