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| Pulp Preparation Scheduling Model Based on Integer Dynamic Programming |
| Received:January 24, 2022 |
| DOI：10.11981/j.issn.1000-6842.2023.01.66 |
| Key Words:pulp preparation;scheduling;integer dynamic programming |
| Fund Project:国家自然科学基金（52000078）；广州市科技计划项目基础与应用基础研究项目（202201010356）；制浆造纸工程国家重点实验室重点项目（2022ZD02）；人工智能与数字经济广东省实验室（广州）青年学者项目（PLZ2021KF0019）。 |
| Author Name | Affiliation | Postcode | | WANG Zifei* | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640 | 510640 | | LI Jigeng | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640 | 510640 | | HONG Mengna | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640 | 510640 | | HE Zhenglei | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640 | 510640 | | MAN Yi | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640
Pazhou Lab， Guangzhou， Guangdong Province， 510335 | 510335 |
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| Abstract: |
| Pulp preparation is an important step in papermaking process， the process of which in most papermaking enterprise is intermittent， causing the technician to take both the pulp preparation and papermaking sections into consideration at the same time. However， due to the lack of scientific guidance for the start & stop of the pulp preparation equipment， papermaking mill relies more on manual experience to schedule the pulp preparation equipment， which often fails to achieve the effect of staggering peak power consumption and reducing production cost. Aiming at the existing problems in pulp preparation equipment scheduling， an optimal scheduling model based on operational research method—the integer dynamic programming was proposed in this study to solve the scheduling problem. The experimental results showed that the model could scientifically and reasonably determine the processing time of pulp preparation equipment， overcome the shortcomings of traditional human scheduling， maintain high availability and reliability； the scheduling generated by the model reduced the power cost of pulp preparation section. |
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