Decheng Wang , Zhihui Fan , Yarong Liu , Ilkyeong Moon
{"title":"具有灵活服务启动时间和时间窗口的多拖车拖运集装箱拖运问题","authors":"Decheng Wang , Zhihui Fan , Yarong Liu , Ilkyeong Moon","doi":"10.1016/j.omega.2025.103422","DOIUrl":null,"url":null,"abstract":"<div><div>Trailer detention at delivery locations, frequently caused by the time-consuming (un)packing process, presents a significant challenge in container drayage. Despite extensive research on container drayage, the specific issues stemming from trailer detention remain relatively underexplored. This study addresses a trailer-detention-constrained multi-trailer drop-and-pull container drayage problem, incorporating flexible service starting times and time windows. The detained trailers differ from standard trailers as they require only a single pickup operation within the planning horizon, rather than the typical two-step delivery and subsequent pickup. These pickup operations must be completed within specified time windows due to their potential to disrupt logistics efficiency and often require time-sensitive handling. Furthermore, time windows are imposed on normal trailer deliveries, as these operations initiate the (un)packing process, which can impact the operational efficiency of customer activities. The problem involves tractors capable of towing multiple trailers, utilizing the drop-and-pull method for detachment and reattachment. Tractors possess the flexibility to select their service starting times. To address the inherent complexity of this problem, a mixed-integer programming model is developed alongside a tailored heuristic algorithm. The algorithm leverages a modified Clarke-and-Wright algorithm to generate both rapid and high-quality initial solutions. It strategically integrates the mathematical model, ensuring solution quality is maintained without compromising computational efficiency. To further enhance solution efficiency, a route-based release-fix-optimize method is implemented. Extensive computational experiments validate the efficacy of the proposed methods and examine the impact of time windows and detained inbound and outbound requests on transportation plans, offering valuable insights for effectively managing logistics systems.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"138 ","pages":"Article 103422"},"PeriodicalIF":7.2000,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A trailer-detention-constrained multi-trailer drop-and-pull container drayage problem with flexible service starting time and time windows\",\"authors\":\"Decheng Wang , Zhihui Fan , Yarong Liu , Ilkyeong Moon\",\"doi\":\"10.1016/j.omega.2025.103422\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Trailer detention at delivery locations, frequently caused by the time-consuming (un)packing process, presents a significant challenge in container drayage. Despite extensive research on container drayage, the specific issues stemming from trailer detention remain relatively underexplored. This study addresses a trailer-detention-constrained multi-trailer drop-and-pull container drayage problem, incorporating flexible service starting times and time windows. The detained trailers differ from standard trailers as they require only a single pickup operation within the planning horizon, rather than the typical two-step delivery and subsequent pickup. These pickup operations must be completed within specified time windows due to their potential to disrupt logistics efficiency and often require time-sensitive handling. Furthermore, time windows are imposed on normal trailer deliveries, as these operations initiate the (un)packing process, which can impact the operational efficiency of customer activities. The problem involves tractors capable of towing multiple trailers, utilizing the drop-and-pull method for detachment and reattachment. Tractors possess the flexibility to select their service starting times. To address the inherent complexity of this problem, a mixed-integer programming model is developed alongside a tailored heuristic algorithm. The algorithm leverages a modified Clarke-and-Wright algorithm to generate both rapid and high-quality initial solutions. It strategically integrates the mathematical model, ensuring solution quality is maintained without compromising computational efficiency. To further enhance solution efficiency, a route-based release-fix-optimize method is implemented. Extensive computational experiments validate the efficacy of the proposed methods and examine the impact of time windows and detained inbound and outbound requests on transportation plans, offering valuable insights for effectively managing logistics systems.</div></div>\",\"PeriodicalId\":19529,\"journal\":{\"name\":\"Omega-international Journal of Management Science\",\"volume\":\"138 \",\"pages\":\"Article 103422\"},\"PeriodicalIF\":7.2000,\"publicationDate\":\"2025-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Omega-international Journal of Management Science\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0305048325001483\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Omega-international Journal of Management Science","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0305048325001483","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
A trailer-detention-constrained multi-trailer drop-and-pull container drayage problem with flexible service starting time and time windows
Trailer detention at delivery locations, frequently caused by the time-consuming (un)packing process, presents a significant challenge in container drayage. Despite extensive research on container drayage, the specific issues stemming from trailer detention remain relatively underexplored. This study addresses a trailer-detention-constrained multi-trailer drop-and-pull container drayage problem, incorporating flexible service starting times and time windows. The detained trailers differ from standard trailers as they require only a single pickup operation within the planning horizon, rather than the typical two-step delivery and subsequent pickup. These pickup operations must be completed within specified time windows due to their potential to disrupt logistics efficiency and often require time-sensitive handling. Furthermore, time windows are imposed on normal trailer deliveries, as these operations initiate the (un)packing process, which can impact the operational efficiency of customer activities. The problem involves tractors capable of towing multiple trailers, utilizing the drop-and-pull method for detachment and reattachment. Tractors possess the flexibility to select their service starting times. To address the inherent complexity of this problem, a mixed-integer programming model is developed alongside a tailored heuristic algorithm. The algorithm leverages a modified Clarke-and-Wright algorithm to generate both rapid and high-quality initial solutions. It strategically integrates the mathematical model, ensuring solution quality is maintained without compromising computational efficiency. To further enhance solution efficiency, a route-based release-fix-optimize method is implemented. Extensive computational experiments validate the efficacy of the proposed methods and examine the impact of time windows and detained inbound and outbound requests on transportation plans, offering valuable insights for effectively managing logistics systems.
期刊介绍:
Omega reports on developments in management, including the latest research results and applications. Original contributions and review articles describe the state of the art in specific fields or functions of management, while there are shorter critical assessments of particular management techniques. Other features of the journal are the "Memoranda" section for short communications and "Feedback", a correspondence column. Omega is both stimulating reading and an important source for practising managers, specialists in management services, operational research workers and management scientists, management consultants, academics, students and research personnel throughout the world. The material published is of high quality and relevance, written in a manner which makes it accessible to all of this wide-ranging readership. Preference will be given to papers with implications to the practice of management. Submissions of purely theoretical papers are discouraged. The review of material for publication in the journal reflects this aim.