{"title":"航空公司客舱乘务员配对与跨舱位替代的准确表征:分支与价格法","authors":"Xin Wen , Sai-Ho Chung , Tsan-Ming Choi , Xiaowen Fu","doi":"10.1016/j.trb.2024.103084","DOIUrl":null,"url":null,"abstract":"<div><div>Given the increasing heterogeneity of the types of aircraft operated, many airlines have switched from the traditional team scheduling approach to the individual scheduling approach for cabin crew planning. The individual approach not only allows for greater scheduling flexibility, but also helps achieve better utilization of available manpower through cross-class substitution (i.e., assigning a high-class crew member to substitute a low-class crew member), which is especially important in view of the recent industry-wide manpower shortage led by the post-pandemic traffic recovery. In this study, we present a new crew pairing approach with accurate characterization of cross-class substitution. This approach is novel as it can distinguish the substitutions among different pairs of crew classes with precise characterization of work time and costs. We develop a branch-and-price solution approach. A new specialized flight network that characterizes each crew class for each flight is constructed to realize the recognition of substitution heterogeneity. Although the size of the new flight network increases dramatically, it can be simplified to consider only one crew class for each flight in each column generation iteration without affecting optimality. We also propose a new column-fixing branching strategy to identify integer solutions for the newly developed model with non-negative integer variables. Computational experiments based on real-world collected flight schedules are conducted to validate the performance of the proposed approach in obtaining high-quality solutions (e.g., achieving a 0.01% optimality gap). The cost saving of the new crew pairing approach is examined, which is shown to vary greatly across different manpower availability levels and part-time cost settings. Besides, rich managerial insights are derived. Among others, we find that if it is expensive for a high crew class to directly substitute a low class (e.g., one that is experiencing a shortage), indirect assistance can be provided through an intermediate class.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"190 ","pages":"Article 103084"},"PeriodicalIF":5.8000,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Airline cabin crew pairing with accurate characterization of cross-class substitution: A branch-and-price approach\",\"authors\":\"Xin Wen , Sai-Ho Chung , Tsan-Ming Choi , Xiaowen Fu\",\"doi\":\"10.1016/j.trb.2024.103084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Given the increasing heterogeneity of the types of aircraft operated, many airlines have switched from the traditional team scheduling approach to the individual scheduling approach for cabin crew planning. The individual approach not only allows for greater scheduling flexibility, but also helps achieve better utilization of available manpower through cross-class substitution (i.e., assigning a high-class crew member to substitute a low-class crew member), which is especially important in view of the recent industry-wide manpower shortage led by the post-pandemic traffic recovery. In this study, we present a new crew pairing approach with accurate characterization of cross-class substitution. This approach is novel as it can distinguish the substitutions among different pairs of crew classes with precise characterization of work time and costs. We develop a branch-and-price solution approach. A new specialized flight network that characterizes each crew class for each flight is constructed to realize the recognition of substitution heterogeneity. Although the size of the new flight network increases dramatically, it can be simplified to consider only one crew class for each flight in each column generation iteration without affecting optimality. We also propose a new column-fixing branching strategy to identify integer solutions for the newly developed model with non-negative integer variables. Computational experiments based on real-world collected flight schedules are conducted to validate the performance of the proposed approach in obtaining high-quality solutions (e.g., achieving a 0.01% optimality gap). The cost saving of the new crew pairing approach is examined, which is shown to vary greatly across different manpower availability levels and part-time cost settings. Besides, rich managerial insights are derived. Among others, we find that if it is expensive for a high crew class to directly substitute a low class (e.g., one that is experiencing a shortage), indirect assistance can be provided through an intermediate class.</div></div>\",\"PeriodicalId\":54418,\"journal\":{\"name\":\"Transportation Research Part B-Methodological\",\"volume\":\"190 \",\"pages\":\"Article 103084\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part B-Methodological\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S019126152400208X\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part B-Methodological","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S019126152400208X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Airline cabin crew pairing with accurate characterization of cross-class substitution: A branch-and-price approach
Given the increasing heterogeneity of the types of aircraft operated, many airlines have switched from the traditional team scheduling approach to the individual scheduling approach for cabin crew planning. The individual approach not only allows for greater scheduling flexibility, but also helps achieve better utilization of available manpower through cross-class substitution (i.e., assigning a high-class crew member to substitute a low-class crew member), which is especially important in view of the recent industry-wide manpower shortage led by the post-pandemic traffic recovery. In this study, we present a new crew pairing approach with accurate characterization of cross-class substitution. This approach is novel as it can distinguish the substitutions among different pairs of crew classes with precise characterization of work time and costs. We develop a branch-and-price solution approach. A new specialized flight network that characterizes each crew class for each flight is constructed to realize the recognition of substitution heterogeneity. Although the size of the new flight network increases dramatically, it can be simplified to consider only one crew class for each flight in each column generation iteration without affecting optimality. We also propose a new column-fixing branching strategy to identify integer solutions for the newly developed model with non-negative integer variables. Computational experiments based on real-world collected flight schedules are conducted to validate the performance of the proposed approach in obtaining high-quality solutions (e.g., achieving a 0.01% optimality gap). The cost saving of the new crew pairing approach is examined, which is shown to vary greatly across different manpower availability levels and part-time cost settings. Besides, rich managerial insights are derived. Among others, we find that if it is expensive for a high crew class to directly substitute a low class (e.g., one that is experiencing a shortage), indirect assistance can be provided through an intermediate class.
期刊介绍:
Transportation Research: Part B publishes papers on all methodological aspects of the subject, particularly those that require mathematical analysis. The general theme of the journal is the development and solution of problems that are adequately motivated to deal with important aspects of the design and/or analysis of transportation systems. Areas covered include: traffic flow; design and analysis of transportation networks; control and scheduling; optimization; queuing theory; logistics; supply chains; development and application of statistical, econometric and mathematical models to address transportation problems; cost models; pricing and/or investment; traveler or shipper behavior; cost-benefit methodologies.