Increasing Production Efficiency with Using Internet of Things and Instant Data Analysis Methods on Machining Sector

Autonomous robots, internet of things and data-analysis technologies will be the distinguishing factors between the future manufacturing industry and the traditional one. On the other hand, many small and medium-sized production companies in Turkey seem to keep their production records on paper within their production processes. 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. This study aims 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. Performance data has been used to measure productivity in production processes. As a result, the machine in which the new system was used showed a higher production increase than the other machine with the same characteristics. According to these results the workflow, time management and decision making processes can be improved