2018, 10(6): 113-118. doi: 10.16670/j.cnki.cn11-5823/tu.2018.06.19
基于遗传算法的PC构件工厂排产研究
| 1. | 中建三局绿色产业投资有限公司，武汉 430074 |
| 2. | 湖北工业大学计算机学院，武汉 430068 |
| 3. | 湖北工业大学土木建筑与环境学院，武汉 430068 |
Research on Production Scheduling of PC Component Factory Based on Genetic Algorithm
| 1. | China Construction Third Engineering Bureau Green Industry Investment Co., Ltd., Wuhan 430074, China |
| 2. | School of Computer Science, Hubei University of Technology, Wuhan 430068, China |
| 3. | School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China |
引用本文:
潘寒, 黄熙萍, 靳华中, 邹贻权, 刘阳. 基于遗传算法的PC构件工厂排产研究[J]. 土木建筑工程信息技术,
2018, 10(6): 113-118.
doi: 10.16670/j.cnki.cn11-5823/tu.2018.06.19
Citation:
Pan Han, Huang Xiping, Jin Huazhong, Zou Yiquan, Liu Yang. Research on Production Scheduling of PC Component Factory Based on Genetic Algorithm[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2018, 10(6): 113-118.
doi: 10.16670/j.cnki.cn11-5823/tu.2018.06.19
摘要:装配式建筑的规模和数量不断扩大，要求构件种类和数量大幅增加。但是，当前构件的批量生产标准化程度低，数字化管理水平不高等导致构件生产效率低难以达到预期生产能力。本文针对PC构件工厂产能目标，结合工厂生产线的实际情况，分析构件排产过程，构建排产优化的数学模型提出一种改进的遗传算法。实验表明，本文提出的算法能提高构件的生产效率和产能。
Abstract: The scale and number of prefabricated buildings are constantly expanding, and the type and number of components are required to increase greatly. However, the current component mass production standardization level is low, digital management level is not high, resulting in component production efficiency low and difficult to achieve the expected production capacity. In this paper, an improved genetic algorithm is proposed for the production scheduling optimization of PC component plant based on the actual situation of production line and the analysis of component scheduling process.
| [1] |
靳华中, 邹贻权, 刘阳.面向生产线级的PC构件排产模式研究[J].土木建筑工程信息技术, 2018, 10(4): 88-93. |
| [2] |
武韶敏, 胡晓兵, 王江武等.改进遗传算法求解面向订单多目标排产问题[J].机械设计与制造, 2018(3):102-108.doi: 10.3969/j.issn.1001-3997.2018.03.031 |
| [3] |
Rom W O, Slotnick S A.Order acceptance using genetic algorithm[J]. Computers & Operations Research, 2009, 36(6):1758-1767. |
| [4] |
Siddharth M, Purushothaman D, CHEN C S.A branch and price solution approach for order acceptance and capacity planning in make-to-order operations[J]. European Journal of Operational Research, 2011, 211(3): 480-495.doi: 10.1016/j.ejor.2011.01.002 |
| [5] |
祁建, 霍光, 李宣. PC自动化生产线养护工艺及养护系统研究[J].混凝土世界, 2016(5):84-87.doi: 10.3969/j.issn.1674-7011.2016.05.015 |
| [6] | |
| [7] |
陈韶飞, 李弘, 夏文杰.基于Anylogic的商业银行排队系统仿真研究[J].科技通报, 2016, 32(08):210-214.doi: 10.3969/j.issn.1001-7119.2016.08.048 |
| [8] |
Wang H.Flexible flow shop scheduling: optimum, heuristics and artificial intelligence solutions[J]. Expert Systems, 2005, 22(2):78-85.doi: 10.1111/exsy.2005.22.issue-2 |
计量
- PDF下载量(28)
- 文章访问量(2644)
- HTML全文浏览量(842)
