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Cyclic and non-cyclic crew rostering problems in public bus transit

机译:公共公交中的周期性和非周期性乘员名册问题

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The crew rostering problem arises in public transport bus companies, and addresses the task of assigning a given set of anonymous duties and some other activities, such as standbys and days off, to drivers or groups of drivers, without violating any complex labor union rules. In addition, the preferences of drivers are considered during the assignment. The plan generated for each driver/group of drivers is called a roster. Optimal rosters are characterized by maximum satisfaction of drivers and minimal operational costs. To generate a personalized roster for each driver/group of drivers, the problem is formulated as a multi-commodity network flow problem in this paper. In each network layer, a roster is generated for each driver or driver group. The network model is very flexible and can accommodate a variety of constraints. In addition, with a minor modification, the network can formulate the cyclic and non-cyclic crew rostering problems. To the best of our knowledge, this is the first publication which solves both problems with one model. The main goal of this paper is to develop a mixed-integer mathematical optimization network model for both problems with sequential and integrated approaches and to solve this model using commercial solvers. Both problems are usually solved with the sequential approach. Therefore, another contribution of this paper is comparing the sequential approach with the integrated one. Our experiments on real-world instances show that the integrated approach outperforms the sequential one in terms of solution quality.
机译:在公共交通巴士公司中出现了人员编排问题,解决了在不违反任何复杂的工会规则的情况下,为驾驶员或驾驶员组分配给定的一组匿名职责和一些其他活动(例如,待命和休假)的任务。另外,在分配过程中会考虑驾驶员的偏好。为每个驱动程序/一组驱动程序生成的计划称为花名册。最佳名册的特点是驾驶员的最大满意度和最低运营成本。为了为每个驾驶员/一组驾驶员生成个性化的花名册,本文将该问题表述为多商品网络流问题。在每个网络层中,将为每个驱动程序或驱动程序组生成一个花名册。网络模型非常灵活,可以适应多种约束。另外,通过较小的修改,网络可以制定周期性和非周期性机组人员排班问题。就我们所知,这是第一本解决一个模型的两个问题的出版物。本文的主要目的是针对顺序和集成方法开发一个混合整数数学优化网络模型,并使用商业求解器解决该模型。这两个问题通常都可以通过顺序方法解决。因此,本文的另一项贡献是将顺序方法与集成方法进行了比较。我们在现实世界中的实例实验表明,在解决方案质量方面,集成方法优于顺序方法。

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