Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/17511
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dc.contributor.authorGacic, Marija-
dc.contributor.authorNestic, Snezana-
dc.contributor.authorZahar Djordjevic, Marija-
dc.contributor.authorStefanovic, Miladin-
dc.date.accessioned2023-03-28T11:50:01Z-
dc.date.available2023-03-28T11:50:01Z-
dc.date.issued2015-
dc.identifier.issn2217-2661en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/17511-
dc.description.abstractSmall and medium sized companies are faced with a series of challenges in order to improve the quality of their key business processes. Quality management system and the requirements of ISO 9001:2008 are usually reliable when defining the key performance indicators of processes, and the process approach enables monitoring of the process indicators’ effectiveness for the whole organization. Evaluation, monitoring and ranking of key performance indicators can provide quality improvement of strategy process performance in different SMEs. A model based on genetic algorithms has been developed in order to rank key performance indicators of the strategy process. This model can have a great practical use for a company’s management team in the quality assessment of strategy process performance in their company.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectstrategy processen_US
dc.subjectquality managementen_US
dc.subjectfuzzy setsen_US
dc.subjectgenetic algorithmen_US
dc.subjectindicatorsen_US
dc.titleA Model for Ranking and Optimization of Key Performance Indicators of the Strategy Processen_US
dc.title.alternativeModel rangiranja i optimizacije indikatora ključnih performansi strateškog procesaen_US
dc.typearticleen_US
dc.description.versionPublisheden_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Engineering, Kragujevac

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