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Can I read Research on Uncertain Integrated Production Planning and Scheduling with Risk Management Based on Improved Collaborative Optimization on EtoBox?
Research on Uncertain Integrated Production Planning and Scheduling with Risk Management Based on Improved Collaborative Optimization by Song Zheng; Jun Liu; Di Wu is a Engineering article available to read on EtoBox.
What is Research on Uncertain Integrated Production Planning and Scheduling with Risk Management Based on Improved Collaborative Optimization about?
The optimization of production planning and scheduling is important for modern process industry. Due to different time dimensions of them, it is easy to create conflicts between the optimization results if they are solved separately, and the final results are not feasible. When facing a complex problem like production model, Collaborative optimization could be applied, but it still has shortcomings. Therefore, the improvement of collaborative optimization is proposed and improved collaborative optimization is applied to solve the uncertain production model. At last, the simulation results show that improved collaborative optimization can achieve better global optimization capability and practicability. This paper not only shows that the application scope of collaborative optimization has been expanded, but also provides a new idea for solving the uncertain production model.
Who reads Research on Uncertain Integrated Production Planning and Scheduling with Risk Management Based on Improved Collaborative Optimization?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Song Zheng; Jun Liu; Di Wu
- Publisher
- SAGE Publications
- Published
- 2022
- Language
- EN
- Field
- Engineering (Physical Sciences)