Static semi-kitting strategy-based multi-objective just-in-time material distribution scheduling

被引：0
|
作者：
Zhou B.-H. [1 ]
He Z.-X. [1 ]
机构：
[1] College of Mechanical Engineering, Tongji University, Shanghai
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2021年 / 51卷 / 03期
关键词：
Computer application; Energy cost; Gravitational search algorithm; Just-in-Time; Material distribution; Mixed-model assembly lines; Multi-objective optimization model;
D O I：
10.13229/j.cnki.jdxbgxb20200203
中图分类号：
学科分类号：
摘要：
In order to solve the Just-in-Time (JIT) material distribution scheduling problem for mixed-model assembly lines, a static semi-kitting strategy is presented. First, the material distribution scheduling problem based on the static semi-kitting strategy is described and a multi-objective optimization model is established to minimize the Total Energy Cost (TEC) and the Total Line-side Inventory (TLI). Then, an improved multi-objective gravitational search algorithm is proposed. The chaotic gravitation operator and the memory search strategy are introduced to the proposed algorithm to accelerate the convergence speed and increase the population diversity. In addition, a local search optimization operator is constructed to optimize the TEC and the TLI. Finally, the experimental results prove the feasibility and effectiveness of the proposed algorithm by comparing with benchmark algorithms. © 2021, Jilin University Press. All right reserved.
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页码：910 / 916
页数：6
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