Data analysis approach in improving production effectiveness and an application
2018
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Danışman: Dr. Öğr. Üyesi Can Aydın
Özet (EN)
Autonomous robots, internet of things and data-analysis technologies will be the distinguishing factor between the future manufacturing industry and the traditional one. On the other hand, many small and medium-sized production companies in our country seem to keep their production records on paper within their production process. As a result, all these stored data cannot be included in the decision-making process. Although there are many studies about storing and reporting data in digital environment using automations, there is no study to analyze and report data instantaneously. It is aimed to increase traceability in production processes by using instantaneous data analysis and to increase production performance and productivity as a result of this increment. In the scope of the study, embedded systems were used and an application was developed to increase efficiency in production processes. According to these results the workflow, time management and decision-making process will be improved.
Yazar
Dr. Bahadır Aktaş
Kurum

Dokuz Eylül University
Yönetim Bilişim Sistemleri Bilim Dalı
Bu Yayına Nasıl Atıf Yapılır
Bahadır Aktaş (Master Thesis). Data analysis approach in improving production effectiveness and an application, 2018, Dokuz Eylül University.
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