Simultaneous scheduling of maintenance crew and maintenance tasks in bus operating companies: a case study

IF 1.8 Q3 ENGINEERING, INDUSTRIAL
Rodrigo Martins, F. B. Fernandes, V. Infante, A. R. Andrade
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引用次数: 3

Abstract

PurposeThe purpose of this paper is to describe an integer linear programming model to schedule the maintenance crew and the maintenance tasks in a bus operating company.Design/methodology/approachThe proposed methodology relies on an integer linear programming model that finds feasible maintenance schedules. It minimizes the costs associated with maintenance crew and the costs associated with unavailability. The model is applied in a real-world case study of a Portuguese bus operating company. A constructive heuristic approach is put forward, based on solving the maintenance scheduling problem for each bus separately.FindingsThe heuristic finds better solutions than the exact methods (based on branch-and-bound techniques) in a much lower computational time.Practical implicationsThe results suggest the relevance of such heuristic approaches for maintenance scheduling in practice.Originality/valueThis proposed model is an effective decision-making support method that provides feasible maintenance schedules for the maintenance technicians and for the maintenance tasks in a fleet of buses. It also complies with several operational, technical and labour constraints.
公交运营公司维修人员与维修任务同时调度的案例研究
目的利用整数线性规划模型对某客车运营公司的维修人员和维修任务进行调度。设计/方法/方法所提出的方法依赖于一个整数线性规划模型来找到可行的维护计划。它将与维护人员相关的成本和与不可用性相关的成本降至最低。将该模型应用于葡萄牙某公交运营公司的实际案例研究。提出了一种建设性的启发式方法,分别求解各母线的维修调度问题。发现启发式方法比精确方法(基于分支定界技术)在更低的计算时间内找到更好的解决方案。实际意义结果表明,这种启发式方法的相关性维护调度在实践中。原创性/价值该模型是一种有效的决策支持方法,为维修技术人员和车队的维修任务提供了可行的维修计划。它还符合若干操作、技术和劳动力限制。
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来源期刊
Journal of Quality in Maintenance Engineering
Journal of Quality in Maintenance Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
4.00
自引率
13.30%
发文量
24
期刊介绍: This exciting journal looks at maintenance engineering from a positive standpoint, and clarifies its recently elevatedstatus as a highly technical, scientific, and complex field. Typical areas examined include: ■Budget and control ■Equipment management ■Maintenance information systems ■Process capability and maintenance ■Process monitoring techniques ■Reliability-based maintenance ■Replacement and life cycle costs ■TQM and maintenance
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