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| Construction andApplication of A Flexible Flow-shop Optimization Scheduling Model Based on NSGA-II Algorithm |
| Received:November 06, 2019 |
| DOI：10.11981/j.issn.1000-6842.2020.04.57 |
| Key Words:multi-objective optimization;flow-shop;NSGA-II;production scheduling |
| Author Name | Affiliation | Postcode | | ZHANG Huanhuan* | 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 | | MAN Yi | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640 | 510640 |
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| Abstract: |
| In order to solve the problem of efficient optimized production scheduling in papermaking enterprises， the machine operation rate should be the highest， the product switching times， and the time of supplying products should be met the requirement of customer. A two-stage flexible flow-shop scheduling optimization model with cost minimization and make span minimization as optimization objectives was constructed and a fast non-dominated genetic algorithm （NSGA-II） was used to solve the model. The results showed that compared with manual production scheduling， the production scheduling results obtained by NSGA-II shorten the makespan by about 6.5% and reduce the production cost by about 4.7%. |
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