Published: August 15, 2018
Applications of the Internet of Things Technology in Advanced Planning Systems [PDF]
(Received March 13, 2017; Accepted May 15, 2018)
Keywords: Internet of Things (IoT), advanced planning system (APS), printed circuit boards (PCBs), radio frequency identification (RFID)
The Internet of Things (IoT) is a very popular research topic, which provides consumers more autonomy with commodity. It leads the commodity towards small-volume/multiple-type production of trends. To solve this problem, many manufacturers use an advanced planning system (APS), hoping thereby to reduce production costs and improve production processes. In fact, the successes of APS systems are few. The main reasons are that production equipment is diverse, information is not easy to integrate, and production process information cannot be rapidly updated. That means that APS systems cannot really function. These problems cannot be solved previously by sensor or communication technology limited in the past. However, these problems can be solved with the use of IoT technology. Therefore, this study uses the printed circuit board (PCB) industry as an example and applies IoT technology combined with an APS system to solve a small-volume/multiple-type and complex process of products. PCBs are carriers of all electronic products and are therefore very important components. PCB production processes are complex and lengthy; the production process is a combination of electronic, electrical, mechanical, chemical, and other technologies. Coupling with production processes for quality measurement and control makes the integration of production information more difficult. In this study, using radio-frequency identification (RFID) and IoT technology, we track the production equipment information and products at various points in the process with real-time updates. We use the information in the APS system to improve the efficiency of production and scheduling.
Corresponding author: Jr-Hung Guo
Cite this article
Jr-Hung Guo, Applications of the Internet of Things Technology in Advanced Planning Systems, Sens. Mater., Vol. 30, No. 8, 2018, p. 1723-1734.