AI Summary & Key Takeaways
AI InsightTherefore, the integration of software and customers into the production systems are becoming increasingly important.
📌 3 Key Takeaways
Abstract
Globalization has accelerated the transition from labor intensive production models to knowledge/ technology intensive production models. Research & Development (R&D) and Design activities increase productivity and profitability for the company at micro level and contributed to the increase in the needed transformation at macro level. Products and services progressed in R&D and Design Centers improve effectively to both the industry and our country. R&D and Design activities cannot be limited to certain disciplines. Digitalization of sensors, actuators, workbenches and instruments used in manufacturing can be achieved by people in design and R&D Centers. There is a need for a high-profile awareness study of what Industry 4.0 is and its contributions. Bringing together technology companies, firms and academics working in industry 4.0 components will be positive in terms of creating mutual learning. The collection of big data during the processes allows us to achieve more accurate results about the production helping to avoid the situations like stopping the production or preventing to producing of faulty products. For example, users in the automobile or parts supply industries have the measurement data of the cylinder head. They can store many data together with working material, production process and conditions. All the data affecting the cylinder head is collected in a single database. Therefore, the integration of software and customers into the production systems are becoming increasingly important.