Abstract
In this paper, the target-oriented overall process optimization (TOPO) strategy is for the first time applied to a six-unit production process of gardenia extract, in order to improve the product quality during the multistage batch manufacturing process. The optimization action is performed actively and iteratively from the second stage as the process continued, giving each stage the maximum probability for the product quality meeting the specified requirements. Simulation results demonstrated that TOPO could lead the product quality towards the predefined target and mitigate the variations from the raw materials.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Yao, Y., Gao, F.: Phase and transition based batch process modeling and online monitoring. J. Process Control 19, 816–826 (2009)
Zhao, C., Fu, J., Xu, Q.: Real-time dynamic hoist scheduling for multistage material handling process under uncertainties. AIChE J. 59, 465–482 (2013)
Vaghefi, A., Sarhangian, V.: Contribution of simulation to the optimization of inspection plans for multi-stage manufacturing systems. Comput. Ind. Eng. 57, 1226–1234 (2009)
Li, H., Huang, J.: Process goose queue (PGQ) approaches toward plantwide process optimization with applications in supervision-driven real-time optimization. Ind. Eng. Chem. Res. 51, 10848–10859 (2012)
Palumbo, B., De Chiara, G., Sansone, F., Marrone, R.: Technological scenarios of variation transmission in multistage machining processes. Qual. Reliab. Eng. Int. 27, 651–658 (2011)
Shi, J., Zhou, S.: Quality control and improvement for multistage systems: a survey. IIE Trans. 41, 744–753 (2009)
Yao, Y., Gao, F.: A survey on multistage/multiphase statistical modeling methods for batch processes. Annu. Rev. Control 33, 172–183 (2009)
Liu, J.: Variation reduction for multistage manufacturing processes: a comparison survey of statistical-process-control vs stream-of-variation methodologies. Qual. Reliab. Eng. Int. 26, 645–661 (2010)
Shetwan, A.G., Vitanov, V.I., Tjahjono, B.: Allocation of quality control stations in multistage manufacturing systems. Comput. Ind. Eng. 60, 473–484 (2011)
Höskuldsson, A., Rodionova, O., Pomerantsev, A.: Path modeling and process control. Chemometr. Intell. Lab. Syst. 88, 84–99 (2007)
Li, J., Shi, J.: Knowledge discovery from observational data for process control through causal Bayesian networks. IIE Trans. 39, 681–690 (2007)
Jin, R., Shi, J.J.: Reconfigured piecewise linear regression tree for multistage manufacturing process control. IIE Trans. 44, 249–261 (2012)
Jiao, Y., Djurdjanovic, D.: Joint allocation of measurement points and controllable tooling machines in multistage manufacturing processes. IIE Trans. 42, 703–720 (2010)
Jiao, Y., Djurdjanovic, D.: Compensability of errors in product quality in multistage manufacturing processes. J. Manuf. Syst. 30, 204–213 (2011)
Xu, B., Lin, Z., Wu, Z., Shi, X., Qiao, Y., Luo, G.: Target-oriented overall process optimization (TOPO) for reducing variability in the quality of herbal medicine products. Chemometr. Intell. Lab. Syst. 128, 144–152 (2013)
Ma, T., Huang, C., Zong, G., Zha, D., Meng, X., Li, J., Tang, W.: Hepatoprotective effects of geniposide in a rat model of nonalcoholic steatohepatitis. J. Pharm. Pharmacol. 63, 587–593 (2011)
Zhang, M., Ignatova, S., Hu, P., Liang, Q., Wang, Y., Sutherland, I., Jun, F., Luo, G.: Cost-efficient and process-efficient separation of geniposide from Gardenia jasminoides Ellis by high-performance counter-current chromatography. Sep. Purif. Technol. 89, 193–198 (2012)
Acknowledgement
This work is supported by the National Natural Science Foundation of China (No. 81403112) and the Joint Development Program Supported by Beijing Municipal Education Commission – Key Laboratory Construction Project (Study on the Integrated Modeling and Optimization Technology of the Chained Pharmaceutical Process of Chinese Medicine Products. And the historical production data used in this study were kindly provided by the assistant manager Haiyan Zhou of Yabao Beizhongda (Beijing) Pharmaceutical Co., Ltd.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Xu, B., Sun, F., Li, J., Cui, X., Shi, X., Qiao, Y. (2015). Application of TOPO to the Multistage Batch Process Optimization of Gardenia Extracts. In: He, X., et al. Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques. IScIDE 2015. Lecture Notes in Computer Science(), vol 9243. Springer, Cham. https://doi.org/10.1007/978-3-319-23862-3_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-23862-3_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23861-6
Online ISBN: 978-3-319-23862-3
eBook Packages: Computer ScienceComputer Science (R0)