Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5181
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dc.contributor.authorÜnver, Hakkı Özgür-
dc.date.accessioned2021-09-11T14:38:43Z-
dc.date.available2021-09-11T14:38:43Z-
dc.date.issued2017en_US
dc.identifier.citationUnver, H. O. (2017). A Manufacturing Energy and GHG Emissions Monitoring System–Supporting Eco-efficiency with Business Intelligence. Bilişim Teknolojileri Dergisi, 10(1), 53-66.en_US
dc.identifier.issn1307-9697-
dc.identifier.issn2147-0715-
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/229808-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5181-
dc.identifier.urihttps://dergipark.org.tr/en/download/article-file/273139en_US
dc.description.abstractEco-efficiency is an emerging manufacturing trend aimed at improving manufacturing companies’ sustainability balance sheets. Eco-efficiency practices focusing on energy or material flows are critical to reducing the environmental footprint of manufacturing processes of sustainable companies. This paper presents development of a new integrated energy and GHG emissions monitoring model and system that combines business intelligence (BI) with eco-efficiency to aid managerial decision making at various levels of a manufacturer. This combination enables near real-time calculation of eco-efficiency metrics key to green manufacturing companies, such as energy consumption/production output, and tracks the progress over time. By using critical BI techniques such as star-schema data models and contextualization, energy or GHG emissions associated with production activity can be allocated dynamically, and Key Performance Indicators (KPIs) such as value-added energy and non value-added energy can be calculated for eco-decision makingen_US
dc.language.isoenen_US
dc.relation.ispartofBilişim Teknolojileri Dergisien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBilgisayar Bilimleri, Bilgi Sistemlerien_US
dc.titleA Manufacturing Energy and Ghg Emissions Monitoring System – Supporting Eco-Efficiency With Business Intelligenceen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Mechanical Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Makine Mühendisliği Bölümütr_TR
dc.identifier.volume10en_US
dc.identifier.issue1en_US
dc.identifier.startpage53en_US
dc.identifier.endpage66en_US
dc.institutionauthorÜnver, Hakkı Özgür-
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.trdizinid229808en_US
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.7. Department of Mechanical Engineering-
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
TR Dizin İndeksli Yayınlar / TR Dizin Indexed Publications Collection
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