Abstract—Industry 4.0 aimed use of the IOT (Internet of Things) to change the future of industrial innovation including in the field of equipment manufacturing and production efficiency. The supplier can respond quickly to the customer demand. The customer can directly order in a manufacturing enterprise marketing platform and select the processing machine with lower production costs. This paper builds the knowledge engineer of machining process that analyze the supplier information, customer demand information and the manufacturing process information. Using Analytic hierarchy process (AHP) for supplier selection methodology, it helps the customer with a reliable way to find suppliers and select the right machining tool.
Index Terms—Tool machining knowledge, supplier selection, customer matching.
The authors are with the Institute of Manufacturing Information & Systems, National Cheng Kung University, Tainan 700, Taiwan, ROC. (e-mail: dinhhoainam52@gmail.com, slchen@mail.ncku.edu.tw).
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Cite: Hoai-Nam Dinh and Shang-Liang Chen, "Building the Machining System Database for Matching Supplier and Customer," International Journal of Materials, Mechanics and Manufacturing vol. 6, no. 2, pp. 151-154, 2018.
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