SIA OpenIR  > 数字工厂研究室
 考虑订单组批特性的特种铝锭组炉优化 Alternative Title Furnace-grouping optimization with order-grouping for special aluminum ingots 张浩1,2; 库涛1,2; 张丁一1,2 Department 数字工厂研究室 Source Publication 控制理论与应用 ISSN 1000-8152 2019 Volume 36Issue:10Pages:1730-1737 Indexed By EI ; CSCD EI Accession number 20194807747401 CSCD ID CSCD:6602825 Contribution Rank 1 Funding Organization 国家自然科学基金项目(61803367) Keyword 组炉优化 订单组批 粒子群算法 局部聚性算子 特种铝铸锭 Abstract 铝锭熔炼是特种铝合金生产的首道工序,直接影响后面工序的生产效率和产成品质量。针对熔炼过程中,由于产品种类多样以及批量大小不一导致的制定组炉计划效率低以及组炉结果不优等问题,本文考虑熔炼炉工艺、设备特点以及订单组批规则等约束条件,建立以最小炉次数和最大订单铸锭占用比例为目标的组炉优化模型。分析该模型的特点,采用以订单分配百分比为决策变量的实数编码规则。提出一种基于冯诺伊曼拓扑结构的粒子群算法对其进行求解,并融入局部聚性算子改善算法寻优能力。设计基于真实生产数据的仿真实验,实验结果说明该模型和所提出的求解算法能够有效地解决特种铝锭组炉优化问题,符合企业实际需求。 Other Abstract In special aluminum alloy production, smelting for aluminum ingots is the first process that affects production efficiency and product quality in subsequent processes directly. To solve the problems that furnace-grouping plan is made inefficiently and furnace-grouping results are not optimal in the smelting process because of product variety and different batch size, furnace-grouping optimization model that is formulated with two objectives of minimizing the number of smelting batch and maximizing occupation ratio of ingots in orders is built with some constraints such as capacity of melting furnace and order-grouping rules in this paper. According to the characteristic of the model, real number coding rule is employed taking the percentage of order allocation as decision variable. A novel Particle Swarm Optimization algorithm is proposed with Von Neumann Topology to solve this optimization model, and locally convergent operator is employed to improve optimizing capacity in this algorithm. The simulation experiment is designed on the basis of the actual data in production. The experiment results show that this optimization model and the proposed algorithm can solve the furnace-grouping optimization problem for special aluminum ingots and meets the requirements of enterprises. Language 中文 Citation statistics Document Type 期刊论文 Identifier http://ir.sia.cn/handle/173321/24664 Collection 数字工厂研究室 Corresponding Author 张浩 Affiliation 1.中国科学院沈阳自动化研究所2.中国科学院机器人与智能制造创新研究院 Recommended CitationGB/T 7714 张浩,库涛,张丁一. 考虑订单组批特性的特种铝锭组炉优化[J]. 控制理论与应用,2019,36(10):1730-1737. APA 张浩,库涛,&张丁一.(2019).考虑订单组批特性的特种铝锭组炉优化.控制理论与应用,36(10),1730-1737. MLA 张浩,et al."考虑订单组批特性的特种铝锭组炉优化".控制理论与应用 36.10(2019):1730-1737.
 Files in This Item: File Name/Size DocType Version Access License 考虑订单组批特性的特种铝锭组炉优化.pd（696KB） 期刊论文 作者接受稿 开放获取 CC BY-NC-SA View Application Full Text
 Related Services Recommend this item Bookmark Usage statistics Export to Endnote Google Scholar Similar articles in Google Scholar [张浩]'s Articles [库涛]'s Articles [张丁一]'s Articles Baidu academic Similar articles in Baidu academic [张浩]'s Articles [库涛]'s Articles [张丁一]'s Articles Bing Scholar Similar articles in Bing Scholar [张浩]'s Articles [库涛]'s Articles [张丁一]'s Articles Terms of Use No data! Social Bookmark/Share
 File name: 考虑订单组批特性的特种铝锭组炉优化.pdf Format: Adobe PDF