Application of TOPO to the Multistage Batch Process Optimization of Gardenia Extracts

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...

Full description

Saved in:
Bibliographic Details
Published inIntelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques Vol. 9243; pp. 267 - 276
Main Authors Xu, Bing, Sun, Fei, Li, Jianyu, Cui, Xianglong, Shi, Xinyuan, Qiao, Yanjiang
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2015
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Graphics programming
Herbal medicine
Image processing
Multistage batch process
Pattern recognition
Probability trajectory
Quality control
Target-oriented overall process optimization (TOPO)
Online AccessGet full text
ISBN3319238612
9783319238616
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-23862-3_26

Cover

More Information
Summary: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.
ISBN:3319238612
9783319238616
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-23862-3_26