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Scheduling optimization of ship plane block flow line considering dual resource constraints
Jinghua Li1, Pengfei Lin2, Xiaoyuan Wu3
1College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, People's Republic of China. lijinghua2024@126.com.
Scientific Reports
|December 27, 2024
Summary
This study introduces an improved Grey Wolf Optimization Algorithm (IGWO) to optimize ship block assembly scheduling. The method effectively addresses dual resource constraints, minimizing completion time for enhanced production efficiency.
Area of Science:
- Industrial Engineering
- Operations Research
- Manufacturing Systems
Background:
- Effective scheduling is vital for ship plane block assembly efficiency.
- Traditional flow line scheduling doesn't account for dual resource constraints.
- Ship block assembly faces unique challenges like work team and parts supply limitations.
Purpose of the Study:
- To develop a scheduling optimization method for ship plane block assembly.
- To address the Dual Resource Constrained Blocked Flow Shop Scheduling Problem (DRCBFSP).
- To minimize the maximum completion time in the assembly process.
Main Methods:
- Encoding solutions using a two-dimensional array for assembly order and work team allocation.
- Proposing an Improved Grey Wolf Optimization Algorithm (IGWO).
- Utilizing the Rank Order Value (ROV) rule for solution transformation and incorporating advanced IGWO strategies.
Main Results:
- The developed mathematical model and IGWO algorithm effectively solve the DRCBFSP.
- The IGWO algorithm demonstrates enhanced exploration and development capabilities.
- The proposed method optimizes scheduling for ship block building.
Conclusions:
- The IGWO algorithm provides an effective solution for complex scheduling problems in ship block assembly.
- The study successfully models and optimizes the DRCBFSP.
- This research contributes to improving production efficiency in shipbuilding.
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