位置:成果数据库 > 期刊 > 期刊详情页
飞机和机组一体化恢复的约束规划模型
  • ISSN号:1671-1637
  • 期刊名称:交通运输工程学报
  • 时间:2013.2.2
  • 页码:77-83
  • 分类:V355.2[航空宇航科学与技术—人机与环境工程;航空宇航科学技术]
  • 作者机构:[1]南京航空航天大学民航学院,江苏南京210016
  • 相关基金:国家自然科学基金项目(61079014);中国民航局软科学基金项目(MHRD201053)
  • 相关项目:不正常航班恢复协同决策理论与方法研究
中文摘要:

分析了飞机和机组运行计划的特点与异同,以最小化恢复总成本为目标函数,以飞机、航班、机组和机场的时空衔接、流平衡等为约束条件,建立了飞机和机组一体化恢复的约束规划模型。针对一体化恢复问题的特点和模型结构,利用混合集合规划方法设计搜索算法,并进行了实例验证。计算结果表明:对小规模问题,约束规划模型与分阶段恢复方法得到的结果一致,延误均为6020min;对中大规模问题,约束规划模型与分阶段恢复方法求得的延误分别为9670min和12840min,约束规划模型比分阶段恢复方法减少约24.69%的延误;分阶段恢复方法在约22.2%的情况下无法求得可行解。可见,约束规划模型可行。

英文摘要:

The features and differences of running schedules for aircraft and crew were analyzed. The mininum total recovery cost was taken as objective function, the spatial-temporal connection and flow balance of aircraft, flight, crew and airport were considered as constraint conditions, and the constraint programming model of integrated recovery for aircraft and crew was built. Aiming at the characteristics of integrated recovery problem and model structure, the searching algorithm was designed by using mixed set programming method, and example verification was carried out. Calculation result indicates that for small scale example, the results obtained by the proposed model and sequential recovery method are same, and the delay is 6 020 min. For medium and large scale examples, the delays obtained by the proposed model and sequential recovery method are 9 670, 12 840 min respectively, and the delay obtained by the proposed model reduces by 24.69; compared with the result of sequential recovery method. By using sequential recovery method, 22.2; examples can not obtain feasible solution. So the proposed model is feasible. 6 tabs, 1 fig, 19 refs.

同期刊论文项目
同项目期刊论文
期刊信息
  • 《交通运输工程学报》
  • 北大核心期刊(2011版)
  • 主管单位:中华人民共和国教育部
  • 主办单位:长安大学
  • 主编:陈荫三
  • 地址:西安市南二环路中段
  • 邮编:710064
  • 邮箱:jygc@chd.edu.cn
  • 电话:029-82334388
  • 国际标准刊号:ISSN:1671-1637
  • 国内统一刊号:ISSN:61-1369/U
  • 邮发代号:52-195
  • 获奖情况:
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,波兰哥白尼索引,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:13453