{"title":"海运货物收益管理:基于场景的订单接受决策方法","authors":"Chi-Leung Chu, Vincent C. Li","doi":"10.1504/writr.2020.10028472","DOIUrl":null,"url":null,"abstract":"In this paper, we consider a single-leg, single-departure period sea cargo revenue management problem. Since demand is uncertain, the carrier practices overbooking to better utilise capacity in which the overlooking quantity is fixed based on past experience and historical data. Booking requests arrive in a given time window before ship departure. The problem is to determine whether to accept a booking request upon its arrival so as to maximise the total expected profit subject to the limited capacity. To this end, a two-phase scenario-based heuristic is developed for real-time application. This heuristic is intuitive, fast, and easy to understand and implement. The major advantage of the proposed heuristic is that the development is simple enough such that a college graduate with basic knowledge on management science can understand, implement, and maintain. By computational experiment, we find that the heuristic is robust and delivers solutions with consistently high effectiveness.","PeriodicalId":39835,"journal":{"name":"World Review of Intermodal Transportation Research","volume":"95 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sea cargo revenue management: a scenario-based approach for order acceptance decision\",\"authors\":\"Chi-Leung Chu, Vincent C. Li\",\"doi\":\"10.1504/writr.2020.10028472\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider a single-leg, single-departure period sea cargo revenue management problem. Since demand is uncertain, the carrier practices overbooking to better utilise capacity in which the overlooking quantity is fixed based on past experience and historical data. Booking requests arrive in a given time window before ship departure. The problem is to determine whether to accept a booking request upon its arrival so as to maximise the total expected profit subject to the limited capacity. To this end, a two-phase scenario-based heuristic is developed for real-time application. This heuristic is intuitive, fast, and easy to understand and implement. The major advantage of the proposed heuristic is that the development is simple enough such that a college graduate with basic knowledge on management science can understand, implement, and maintain. By computational experiment, we find that the heuristic is robust and delivers solutions with consistently high effectiveness.\",\"PeriodicalId\":39835,\"journal\":{\"name\":\"World Review of Intermodal Transportation Research\",\"volume\":\"95 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World Review of Intermodal Transportation Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/writr.2020.10028472\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Review of Intermodal Transportation Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/writr.2020.10028472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
Sea cargo revenue management: a scenario-based approach for order acceptance decision
In this paper, we consider a single-leg, single-departure period sea cargo revenue management problem. Since demand is uncertain, the carrier practices overbooking to better utilise capacity in which the overlooking quantity is fixed based on past experience and historical data. Booking requests arrive in a given time window before ship departure. The problem is to determine whether to accept a booking request upon its arrival so as to maximise the total expected profit subject to the limited capacity. To this end, a two-phase scenario-based heuristic is developed for real-time application. This heuristic is intuitive, fast, and easy to understand and implement. The major advantage of the proposed heuristic is that the development is simple enough such that a college graduate with basic knowledge on management science can understand, implement, and maintain. By computational experiment, we find that the heuristic is robust and delivers solutions with consistently high effectiveness.
期刊介绍:
There is an increasing demand for transportation solutions that are responsive, safe, sustainable, smart and cost-efficient. This has resulted in increased emphasis on responsive intermodal transportation systems. WRITR provides an international forum for the critical evaluation and dissemination of research and development in all areas related to intermodal transportation. Research disseminated via WRITR has significant impact on both theory and practice, and is of value to academics, practitioners and policy makers in this field. Topics covered include: -International trade and transportation -Infrastructure, network design and optimisation -Design, planning and control of transportation systems -Intermodal, intelligent and sustainable transportation solutions -Transportation modes (air, rail, road, sea, pipe) -Transportation cost/benefit analysis -Railroad, terminal and port development -Port/terminal operations and management -Warehousing and inventory management -Transportation regulations, standards and security -Environmental impact, liability and insurance -Risk analysis and management -Information technology and decision support systems -Strategic alliances and relationship management -Government involvement and incentives