LAPSE:2023.0800
Published Article
LAPSE:2023.0800
Filling Process Optimization through Modifications in Machine Settings
Yanmei Cui, Xupeng Zhang, Jing Luo
February 21, 2023
Abstract
In this paper, a mathematical model is developed for the modified settings of an automatic filling machine to minimize the filling time of orders for different volumes of dairy product and flavors. The linear programming model is solved using the Simplex method to find an optimal solution to the optimization problem. The results of the model are used for sequencing the processing of orders using one-dimensional rules with the aim of obtaining an optimal sequence for the most valued performance measure. The comparative analysis of the one-dimensional rules showed that Shortest Processing Time (SPT) is better than the other rules for minimization of the average time past due. Additionally, the results of the model for the new machine settings, when compared with previous similar studies, yielded encouraging results.
Keywords
bottle filling, machine scheduling, mathematical modeling, one-dimensional rules, process optimization
Suggested Citation
Cui Y, Zhang X, Luo J. Filling Process Optimization through Modifications in Machine Settings. (2023). LAPSE:2023.0800
Author Affiliations
Cui Y: School of Mechanical Engineering, Shanghai Dianji University, Shanghai 201306, China
Zhang X: Research and Development Department, Nexon Electronic Co., Ltd., Shanghai 201107, China
Luo J: The School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100864, China
Journal Name
Processes
Volume
10
Issue
11
First Page
2273
Year
2022
Publication Date
2022-11-03
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10112273, Publication Type: Journal Article
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LAPSE:2023.0800
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https://doi.org/10.3390/pr10112273
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