Developing a Decision Support System (DSS) for a Dental Manufacturing Production Line Based on Data Mining

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.

A Decision Support System for Elective Surgery Scheduling under Uncertain Durations

“…DSS are used for managing tasks in different fields of applications, as for example in stormwater management [21], dental manufacturing production line [22], offshore wind farms [23] and healthcare systems [24,25]. Moreover, a DSS for OR scheduling was proposed in [26] based on a Mixed Integer Linear Programming (MILP) problem [27,28] that takes into account the preference order of the patients.…”

“…The number of patients advanced or delayed two time blocks (orange) is 14 while the number of patients advanced or delayed three time blocks (red) is 9. However only three patients (15,18, and 57) have been delayed three time blocks and seven patients (22,25,47,54,58,60, and 64) have been delayed two time blocks. This means:…”

RFID Technology as a Low-Cost and Passive Way to Digitize Industrial Analogic Indicators

“…This trend illustrates a clear picture of the future position of wireless networks in the industry. In [15], the authors merged the wireless network and RFID technology to manage the production line in a traditional manufacturing laboratory to avoid errors due to the manual recording, remotely monitoring the manufacturing process via the internet, and In [15], the authors merged the wireless network and RFID technology to manage the production line in a traditional manufacturing laboratory to avoid errors due to the manual recording, remotely monitoring the manufacturing process via the internet, and evaluating the workers' progress. In [16], authors proved that the transmission speed, low energy consumption, and a higher number of devices could be simultaneously operated using a wireless network.…”

Un enfoque de machine learning para la predicción de la calidad de tableros contrachapados

“…Las técnicas de ML han tenido éxito para resolver problemas en diversas aplicaciones de la industria manufacturera, tales como; sistemas inteligentes para la toma de decisiones (Cheng et al 2018, Kujawińska et al 2018, arreglos para mantenimiento de máquinas, predicciones de fallos, estimación de consumo energético de máquinas (Cupek et al 2018, Gandhi et al 2018, Nedelkoski y Stojanovski 2017, Pavlyshenko 2016, Zhang et al 2017. Otros trabajos han abordado la calidad del producto y el control de las variables del proceso que involucran datos multivariados, donde las bases de datos pueden estar relacionadas a las características del producto, máquinas, parámetros de operación, nivel de experiencia del operador, tipo de turno, entre otros factores (Huang et al 2018, Rostami et al 2015, Wang 2013.…”