Abstract
The digital era is coming. In recent years, due to the continuous improvement of information technology, Artificial Intelligence, Big Data, Cloud Computing and IoT related technology has flourished. For traditional industries, demand is gradually changing from less diverse product to more diverse product. And most of them are customized orders, so the change of production mode has also become an opportunity for the digital transformation of enterprises. In addition, under the impact of the epidemic at the end of 2019, enterprises pay more attention to digital transformation.
This study cooperates with a precision industrial company in Taichung. The company used to record all the data in the quotation process in paper. In addition to the difficulty of data backtracking, quotation data such as cost, delivery period, production process, outsourced manufacturers and prices are also difficult to compare with the actual order data. Also, departments often affect the quotation time due to the cumbersome communication process. In order to solve the above problems and improve the quotation process, this study is discussed in a faster, more accurate, more effective and profitable way.
By building a digital quotation system, digitally optimize the difficulties encountered by quotations, and finally solve the problem to make the quotation system successfully digitally transformed.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Kao, WH., Zeng, YM., Nian, ZY., Cheng, RS. (2023). Digital Transformation Application of Precision Industrial Quotation System. In: Deng, DJ., Chao, HC., Chen, JC. (eds) Smart Grid and Internet of Things. SGIoT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 497. Springer, Cham. https://doi.org/10.1007/978-3-031-31275-5_8
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DOI: https://doi.org/10.1007/978-3-031-31275-5_8
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