Solving airlines disruption by considering aircraft and crew recovery simultaneously

When disruptions occur, the airlines have to recover from the disrupted schedule. The recovery usually consists of aircraft recovery, crew recovery and passengers’ recovery. This paper focuses on the integrated recovery, which means above-mentioned two or more recoveries are considered as a whole. Taking the minimization of the total cost of assignment, cancellation and delay as an objective, we present a more practical model, in which the maintenance and the union regulations are considered. Then we present a so-called iterative tree growing with node combination method. By aggregating nodes, the possibility of routings is greatly simplified, and the computation time is greatly decreased. By adjusting the consolidating range, the computation time can be controlled in a reasonable time. Finally, we use data from a main Chinese airline to test the algorithm. The experimental results show that this method could be used in the integrated recovery problem.     

Autonomous technologies in short sea shipping: trends,feasibility and implications

ABSTRACT

The maritime industry has been continuously transforming the nature of its business and striving to embrace technology in many aspects. In this context, autonomous technologies have been receiving momentum with a potential to revolutionise the landscape of shipping industry. After conducting a comprehensive literature review on the issues facing by the short sea shipping (SSS) industry, a model is developed to explore the potential savings of removing crew and use of autonomous technologies through a Continuously Unmanned Ship (CUS) that is operated by a Shore Control Centre (SCC). The analysis shows that autonomous technologies are viable to the challenges that the shipping industry is facing in terms of crew costs and skill shortage. To validate this statement, a case study is selected and various scenarios were tested based on relevant operational and financial considerations, including crew arrangement, cargo utilisation levels and shore wage coefficients. The results suggest that the savings occur in demand-uncertain markets and where a network of vessels are operated via a control centre. While autonomous technology use in shipping holds promise, there remain several limitations that this research addresses in terms of implementation, commercial attractiveness, risk profile, legislative, workforce planning and port operations.     

基于蚁群算法的客运段乘务值乘交路计划编制研究

将铁路客运段乘务值乘交路计划问题与旅行商问题相结合,以获取管辖交路乘务组的最小乘务组组数为目标,建立乘务交路计划编制数学模型.深入分析客运段乘务交路计划的特点,并将其转化为模型的约束条件,给出交路接续规则、非对称约束条件、交路执行条件、子回路禁止条件等4个约束条件表达式.同时采用蚁群算法对模型求解,规定算法所需的信息素更新函数,交路选择规则等.将该模型算法在实例中应用,应用结果表明,该模型能够清楚表达乘务值乘交路计划编制问题,并极大地提高了编制效率,降低了成本,实现了乘务值乘交路计划编制的自动化,具有一定的实际意义.     

浅谈内河船员的安全教育

文章在阐述船员安全教育基本特点的基础上,针对目前内河航运企业职工的现状,提出了加强内河船员安全教育的相关建议。     

航空公司不正常航班机组恢复模型和算法研究

不正常航班机组恢复问题的建模和快速有效求解对民航资源优化利用、降低民航企业运营成本和提高旅客服务水平至关重要.采用约束规划建模,在ILOG Solver优化组件提供的框架基础上,设计了不正常航班机组恢复问题的禁忌搜索算法.该算法与直接使用CPLEX优化组件相比,提高了邻域搜索效率,能够满足大规模机组恢复问题的时间要求,给出算例验证了算法的实时性和有效性.     

论强化船员安全意识

文中对如何强化船员的安全意识进行了阐述,旨在引起广大船员的重视,根除人为失误的可能,减轻人为失误酿成的损失,以达到船舶安全营运的目的.     

实用型三本船模拟器在内河船员教育中的应用与探讨

文中介绍内河船员教育中的模拟器有关功能,利用模拟器进行船舶训练的方案制作、训练实施和注意事项,着重介绍利用航海模拟器进行船舶靠泊训练的应用与教学探讨。通过模拟器实操训练,能提高学员动手能力、掌握操作技能,更好地保证船舶航行安全。     

利用计算机组题保障船员考试的公正和科学

把好船员考试发证关能从制度上约束船员管理人员行为,对提高船员培训和管理的整体水平起到了一定的促进作用,同时在一定程度上能提高对船员安全技术水平的控制能力。     

飞行值勤期警觉性研究

飞行疲劳是影响航空安全的重要因素,为使机组在值勤期内保持良好的警觉性水平,民航规章对机组成员的飞行值勤时长做出限制规定。为探究规章对飞行值勤期限制的科学性及值勤前休息模式的合理性,引用SAFTE模型分析非扩编机组在不同报到时间值勤期内的警觉性水平及波动程度,对模型仿真结果得出结论:日间报到值勤期内的警觉性水平明显高于夜间,上午的警觉性波动程度要明显小于下午的警觉性波动程度;CCAR-121(R6)关于值勤期的限制规定较CCAR-121(R4)整体更加优化,FAR117部夜间报到的值勤期限制优于CCAR-121(R6);值勤两小时前补充8小时的睡眠更能保证机组在飞行值勤期内的警觉性水平,避免疲劳产生和积累。     

基于等价交路组合的乘务值乘计划优化

根据乘务值乘计划的优化性与乘务交路的排列顺序不是一一对应的特性,提出等价交路组合的概念。通过构建接续网络刻画部分交路接续关系,在此基础上,基于等价交路组合设计了求解乘务值乘计划的启发式优化方法。以广深线数据为例,对提出的优化方法进行验证,并分析了不同乘务规则取值对需要的乘务员数量的影响。