Clustering analysis application on industry 4.0-driven global indexes

Basit Öğe Kaydı
dc.contributor.authorAnuşlu, Merve Doǧruel
dc.contributor.authorFırat, Seniye Ümit
dc.date.accessioned2024-06-13T20:15:55Z
dc.date.available2024-06-13T20:15:55Z
dc.date.issued2019
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
dc.description3rd World Conference on Technology, Innovation and Entrepreneurship, WOCTINE 2019 -- Istanbul -- 21-23 June 2019
dc.description.abstractIndustry 4.0 is one of the most important topics in the academia and business world in recent years as a result of digital milestones in innovation area. Industry 4.0 is considered a great revolution in both manufacturing and services sectors. One of the reasons why Industry 4.0 is described as a revolution is the search for new solutions that unappeared before, to the challenges associated with energy, resources, environment, social and economic impacts by using modern technologies to ensure sustainable prosperity. Another reason is the use of modern technologies such as digital chains, smart systems and industrial internet to accelerate innovation as a result of faster implementation of new business models. The other one, is Industry 4.0 lighten the load of current challenges such as shorter product lifecycles, higher product complexity, and global supply chains for manufacturers in order to make the companies more flexible and responsive to business trends. According to global index scores in several areas as economic, environmental, sustainability, innovation etc. that published by international organizations, the positions of countries relative to other countries can be analyzed. Countries can evaluate their current status according to their index scores and have the opportunity to develop strategies for the performance level that they targeted. The aim of this study is to group countries within the scope of significant impact areas of Industry 4.0 by using Global Innovation Index, Sustainable Development Goals Index, Logistics Performance Index and Environmental Performance Index. By using the global indices mentioned above, countries are grouped and evaluated by using Clustering Analysis from data mining methods.
dc.description.sponsorshipFirat University Scientific Research Projects Management Unit
dc.identifier.doi10.1016/j.procs.2019.09.037
dc.identifier.endpage152
dc.identifier.issn1877-0509
dc.identifier.scopus2-s2.0-85076259101
dc.identifier.scopusqualityQ2
dc.identifier.startpage145
dc.identifier.urihttps://doi.org/10.1016/j.procs.2019.09.037
dc.identifier.urihttps://hdl.handle.net/11501/958
dc.identifier.volume158
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier B.V.
dc.relation.ispartofProcedia Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectClustering Analysis
dc.subjectEnvironmental Performance Index
dc.subjectGlobal Innovation Index
dc.subjectIndustry 4.0
dc.subjectSustainable Development Goals Index
dc.titleClustering analysis application on industry 4.0-driven global indexes
dc.typeConference Object

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
Tam Metin / Full Text
Boyut:
644.19 KB
Biçim:
Adobe Portable Document Format
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu
Mühendislik Fakültesi Koleksiyonu