Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/18358
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNestic, Snezana-
dc.contributor.authorStefanovic, Miladin-
dc.contributor.authorDjordjevic, Aleksandar-
dc.contributor.authorArsovski, Slavko-
dc.contributor.authorStojanovic, Svetlana-
dc.date.accessioned2023-06-13T06:46:42Z-
dc.date.available2023-06-13T06:46:42Z-
dc.date.issued2013-
dc.identifier.isbn978-86-86663-94-8en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/18358-
dc.description.abstractIn order to improve the quality of their processes companies usually rely on quality management systems and the requirements of ISO 9001:2008. The small and medium-sized companies are faced with a series of challenges in objectification, evaluation and assessment of the quality of processes. In this paper, the strategy process is decomposed for one typical medium size of manufacturing company and the indicators of the defined sub processes, based on the requirements of ISO 9001:2008, are developed. The weights of sub processes are calculated using fuzzy set approach. Finally, the developed solution based on the genetic algorithm approach is presented and tested on data from 142 manufacturing companies. The presented solution enables assessment of the quality of a strategy process, ranks the indicators and provides a basis for successful improvement of the quality of the strategy processen_US
dc.language.isoenen_US
dc.publisherFaculty of Engineering, University of Kragujevac, Serbiaen_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.subjecttrategy processen_US
dc.subjectquality managementen_US
dc.subjectfuzzy setsen_US
dc.subjectgenetic algorithmen_US
dc.subjectindicatorsen_US
dc.titleAN ASSESSMENT AND OPTIMIZATION OF QUALITY OF STRATEGY PROCESSen_US
dc.typeconferenceObjecten_US
dc.description.versionPublisheden_US
Appears in Collections:Faculty of Engineering, Kragujevac

Page views(s)

344

Downloads(s)

8

Files in This Item:
File Description SizeFormat 
9.pdf1.82 MBAdobe PDFThumbnail
View/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.