期刊文献+

带中式用餐约束的乘务调度问题 被引量:6

A Crew Scheduling with Chinese Meal Break Rules
下载PDF
导出
摘要 有效的乘务调度能够为公交企业带来巨大的成本节约,但是,公交乘务调度问题因受制于一系列劳动法规的约束变得十分复杂.我国公交普遍存在'中式用餐'约束,进一步加大了问题的复杂性,使西方主流调度系统在国内实施面临困难.本文基于'生成与选择'方法解决乘务调度问题,关键在于'生成'阶段处理'中式用餐'难题;利用'中式用餐'约束和乘务问题特点,设计一种基于启发式规则的换班机会筛选方法;在所选换班机会集合的基础上构造能满足'中式用餐'约束的潜在乘务班次集合.对实际公交乘务调度问题中的12组实例进行测试,表明本文方法不仅能处理'中式用餐'约束,而且能极大减少所求问题的规模,因此适用于解决大规模的带有'中式用餐'约束的乘务调度问题. An efficient crew scheduling can significantly reduce the operational cost for transit enterprises. However, the crew scheduling problem, known to be NP-hard, is complicated by the fact that there are many restrictions on the shift generation. Moreover, there are some special requirements in China, for example, meal break is normally required to be taken during the conventional time ranges for lunch or dinner, which is called a Chinese meal break rule to distinguish from the western ones. It also makes the existing crew scheduling approaches encountering difficulties. On the basis of the "generate and select" approach to solve the crew scheduling problem, this paper proposes an approach to handling the Chinese meal break rule in the phase of " generate". Taking advantages of the characteristics of Chinese meal break rule and problem domain knowledge, a heuristic-based approach is proposed to select some promising relief opportunities (ROs). A shift generation approach is then devised to generate a large set of potential shifts that satisfy the Chinese meal break rule. Experimental results from 12 groups of real-world problem instances demonstrate the success of the proposed approach, which can greatly reduce the number of potential shifts generated. Therefore, it is suggested that the proposed approach be used to solve the large scale crew scheduling problems with Chinese meal break rule.
出处 《交通运输系统工程与信息》 EI CSCD 北大核心 2013年第2期90-95,共6页 Journal of Transportation Systems Engineering and Information Technology
基金 国家自然科学基金(70971044 71171087)
关键词 城市交通 乘务调度 中式用餐 启发式 班次生成 urban transportation crew scheduling Chinese meal break heuristics shift generation
  • 相关文献

参考文献12

  • 1Wren A, Fores S, Kwan A S K, et al. A flexible system for scheduling drivers [ J ]. Journal of Scheduling, 2003,6(5) : 437-55.
  • 2Hickman M, Mirchandani P. Computer-aided systems in public transport [ C]//Lecture Notes in Economics and Mathematical Systems . Berlin: Springer, 2008.
  • 3Jutte S, Thonemann U W. Divide-and-price: A decomposition algorithm for solving large railway crew scheduling problems [ J ]. European Journal of Operational Research, 2012, 219(2): 214-223.
  • 4Shen Y, Kwan R S K. Tabu search for driver scheduling [ C ]. Lecture Notes in Economics and Mathematical Systems, Berlin : Springer, 2001 ( 505 ) : 121 -135.
  • 5Fores S. Column generation approaches to bus driver scheduling[ D]. University of Leeds, 1996.
  • 6Li J, Kwan R S K. A fuzzy genetic algorithm for driver scheduling [ J ]. European Journal of Operational Research, 2003, 147(2): 334-344.
  • 7Shen Y. Tabu search for bus and train driver scheduling with time windows[ D]. University of Leeds, 2001.
  • 8Shen Y, Xia J. Integrated bus transit scheduling for the Beijing bus group based on a unified mode of operation [ J ]. International Transactions in Operational Research, 2009, 16(2) : 227-242.
  • 9沈吟东,倪郁东.含时间窗的司售员调度模型及多邻域结构设计[J].华中科技大学学报(自然科学版),2008,36(12):31-34. 被引量:5
  • 10Mesquita M, Paias A. Set partitioning and covering- based approaches for the integrated vehicle and crew scheduling problem [ J ]. Computers & Operations Research, 2008, 35(5) : 1562-1575.

二级参考文献10

  • 1Hickman M, Mirchandani P, Voβ S, et al. Computer-aided systems in public transport [M]. Berlin: Springer, 2008.
  • 2Shen Yindong. Two neighbourhood search approaches: 2-opt heuristics and tabu search for bus and train driver scheduling[M]. Beijing: Science Press,2003.
  • 3D'Annibale G, De Leone R, Festa P, et al. A new meta-heuristic for the bus driver scheduling problem: GRASP combined with rollout[C] // Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling. Piscataway: IEEE Press, 2007: 192-197.
  • 4Kwan R S K, Kwan A. Effective search space control for large and/or complex driver scheduling problems [J]. Annals of Operations Research, 2007, 155: 417-435.
  • 5Desaulnier G. Managing large fixed costs in vehicle routing and crew scheduling problems solved by column generation[J]. Computers and Operations Research, 2007, 34(4): 1 221-1 239.
  • 6Rodrigues M M, de Souza C C, Moura A V. Vehicle and crew scheduling for urban bus lines[J]. European Journal of Operational Research, 2006, 170(3): 844- 862.
  • 7Fores S, Proll L, Wren A. TRACS II: a hybrid IP/ heuristic driver scheduling system for public transport [J]. Journal of the Operational Research Society, 2002, 53(10): 1 093-1 100.
  • 8Shen Y, Kwan R S K. Tabu search for driver scheduling[J]. Lecture Notes in Economics and Mathematical Systems, 2001, 505.. 121-135.
  • 9Glover F, Laguna M. Tabu search[M]. Boston: Kluwer Academic Publishers, 1997.
  • 10Michalewicz Z, Fogel D B. How to solve it: modern heuristics[M]. Berlin: Springer, 2000.

共引文献4

同被引文献34

引证文献6

二级引证文献38

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部