- 學位論文
高速鐵路車輛指派與檢修排程規劃
Rolling Stock Rostering and Maintenance Scheduling for High Speed Rail System
摘要
軌道運輸的各項營運設備中，車輛是最主要的資源之一，為承載客貨執行運輸服務的基本單元，由於購置價格高、使用週期長，且必須透過定期檢修確保車輛狀況，因此有效率地規劃並使用車輛資源，是軌道營運業者重要的營運規劃項目之一。本研究所探討的「車輛指派規劃」，屬於軌道車輛資源規劃中的日常決策項目之一，藉由給定的車輛運用與檢修計畫，根據各車輛的位置及營運狀態，將車輛與運用行路一一對應，決定各車輛每日的營運與檢修任務內容，並避免違反實務上的限制，如檢修週期規範等。由於此日常規劃作業的複雜性，以及限制的繁瑣，臺灣的軌道營運業者，如臺鐵局、高鐵公司，對於車輛指派規劃作業仍以人工作業規劃為主，人工規劃雖可產生可行的車輛指派計畫，卻難以確保結果的最佳性，規劃過程亦耗時耗力。而過去雖有許多關於車輛資源規劃的文獻，然而不論在問題背景、規劃目標與決策考量的限制因素，皆與本研究所探討的「車輛指派規劃」本質有所不同。 本研究透過文獻回顧與實務規劃流程之探討，歸納出高速鐵路車輛指派規劃的問題架構與主要的考量因素，並分別考量給定與可變動月檢排程的兩種問題背景，建構最佳化決策支援工具，針對兩種問題背景皆分別建立整數規劃模式及啟發式演算法。藉由案例分析證實決策支援工具皆可在實務可接受的時間範圍內，提供比人工規劃較佳的車輛指派計畫，約可提高3~4%的維修到達率。應用本研究提出的決策支援工具，不僅可減低人工規劃作業所需的人力與時間，更可提高車輛運用的效率，並降低不必要的檢修所帶來的檢修成本浪費。
並列摘要
Rolling stock is one of the major resource for railway operators to provide transport service. Due to the high acquiring cost and long life cycle, the efficient usage of rolling stock is one of the key planning goal for railway operators. This study focus on the rolling stock rostering in high speed rail system, which a daily varying decision. Given the rolling stock circulation and maintenance plan, the rostering planner decides the assignment between individual rolling stock and duty according to practical constraints. The decision includes the daily operational and maintenance plan for each rolling stock. Because of the complexity and the uncertainty, railway operators in Taiwan implement rostering plan manually. Although manual plan is feasible and the planning time is acceptable, it can not guarantee the optimality of the results. In addition, the routinely planning process is time consuming. On the other hand, there are several essential differences between the problem in this study and previous literature. Therefore, methods proposed by past studies can not directly applied to our problem. Based on literature review and insight discussion of practical planning process, this study proposed decision support tools for the rolling stock rostering problem. In order to be applied in different decision backgrounds, frameworks for both fixed and variable plans of monthly inspection are presented. For each consideration of inspection, integer programming model and heuristics algorithm are developed to solve the problem. According to the results of case study, the rolling stock utilization rate can be raised by 3~4% using the decision support tool in this study, which decreases the waste of unnecessary maintenance.