Abstract
Intelligent manufactory is a typical application of big data analysis. Flexible production line is an essential fundamental of intelligent manufactory. Producing different types of similar products alternately in one line with fixed stations but varying parameters is a typical kind of flexibility. In this case, the quality of products is directly determined by the parameter setting. However, the relation between parameters and product quality are too complicated to model. Consequently, current solution is bound to tune the parameters manually, which highly relies on expertise and is very costly. Inspired by recommender systems, we develop IMOptimizer, a novel online interactive processing parameter setting system. IMOptimizer holds the features of Configurable, Interactive, High Efficiency and Friendly UI. To the best of our knowledge, our system is the first big-data-driven generic platform focusing on online process optimization. In this demonstration, we will present our prototype.
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Acknowledgments
This paper was partially supported by NSFC grant U1509216, U1866602, The National Key Research and Development Program of China 2016YFB1000703, NSFC grant 61472099,61602129.
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Liang, Z., Wang, H., Li, J., Gao, H. (2019). IMOptimizer: An Online Interactive Parameter Optimization System Based on Big Data. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds) Database Systems for Advanced Applications. DASFAA 2019. Lecture Notes in Computer Science(), vol 11448. Springer, Cham. https://doi.org/10.1007/978-3-030-18590-9_91
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DOI: https://doi.org/10.1007/978-3-030-18590-9_91
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