Abstract
In this study, an Industry 4.0 framework-based decision support system (DSS) was developed using a combination of wireless network and RFID identification technology to manage a production line in a traditional dental manufacturing lab. The motivation was to prevent mistakes from manual recording, to remotely monitor the working hours of employees in manufacturing processes via internet, and to evaluate the rationality of the employee’s working hours. In the DSS, four network nodes were established to track four important manufacturing processes of digital dentistry. In each of these processes, the time spent by the dental technician was recorded by scanning their ID cards. All information was simultaneously uploaded to a databank in the cloud and analyzed by the computer software MATLAB. These programs evaluated the rationality of employees’ working hours in each of the monitored processes, which can help managers to follow up or improve the process efficiency.
Highlights
With the trend of ageing, the demand for medical devices continues to rise all over the world
The testing has been done in the Fu-Ji Dental Laboratory
The working sensing distance of the RFID reader was around 2–3 cm
Summary
With the trend of ageing, the demand for medical devices continues to rise all over the world. The market value has reached 336.1 million USD and the demand for dental implants has increased significantly by the report of BMI in 2016 [1]. The Taiwan government has continuously promoted the integration of wireless networks, automated production, and process management intelligence through the policy of productivity 4.0 [3]. Much research has discussed the application of “Productivity 4.0” or “Industry 4.0” in Taiwan, but most of them have only discussed the potential benefits of and impacts on business management or production lines after assisting companies to apply this policy [4,5,6,7]
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