1-s2.0-S0305054807000342-main.pdf

  1. 1、本文档共13页,可阅读全部内容。
  2. 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
  3. 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载
  4. 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
1-s2.0-S0305054807000342-main

Computers Operations Research 35 (2008) 3439–3451 /locate/cor The design of real-time logistics information system for trucking industry Shih-Che Loa,?, Randolph W. Hallb aDepartment of Industrial Management, National Taiwan University of Science and Technology, No. 43, Keelung Rd., Sec. 4, Taipei 106, Taiwan, ROC bEpstein Department of Industrial and Systems Engineering, University of Southern California, 3715 McClintock Avenue, GER 240, Los Angeles, CA 90089-0193, USA Available online 8 February 2007 Abstract A critical link in the overnight Express Package services is the on-time arrival of trucks at local airport terminals. Truck delays can delay the package sorting process, which can in turn delay aircraft departures from the local terminal, as well as aircraft departures from hub terminals that depend on timely aircraft arrivals. In this paper, the design of a real-time logistics information system (RLIS) for trucking industry was addressed, considering the effects of traffic congestion during rush hour. Two types of forecasting methods, time series models and nonlinear fuzzy reasoning, were created and embedded into the RLIS. The results from practical web services reveal a substantial improvement of the truck scheduling performance and help decision makers determine schedule coordination between ground transportation and aircraft departures at airport cargo terminals.  2007 Elsevier Ltd. All rights reserved. Keywords: Logistics information system; Fuzzy theory; Truck scheduling; Travel time forecasting; Loop detectors 1. Introduction Highways are increasingly congested in metropolitan areas, especially in major cities that rely on highway transporta- tion. Traffic congestion has grown due to sharply increased vehicle travel and very slow growth of roadway capacity in recent years. Rush periods in major cities have doubled in less than 20 years, rising from nearly three hours (morning and evening combined) in 1982 to almost six hours in 1999 [1]. Even holid

文档评论(0)

l215322 + 关注
实名认证
内容提供者

该用户很懒,什么也没介绍

1亿VIP精品文档

相关文档