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Multi-period network interdiction problems with applications to city-level drug enforcement.

机译:多时段网络拦截问题及其在城市级毒品执法中的应用。

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摘要

The analysis of networked critical infrastructure ow systems subject to disruption via accident or human intervention, is an important mathematical problem with a variety of applications in many areas. Our research has targeted a critical societal problem - namely, the challenge posed by city-level illegal drug trafficking, to law enforcement officials working within limited resources. Illegal drug trafficking constitutes a dynamically changing supply chain involving a hierarchical network structure, in which criminals seek to maximize the ow of goods and services through the network. We have developed novel approaches and models incorporating multi-period network interdiction strategies with many new applications in several classes of ow problems such as efficiently scheduling the activities of law enforcement in order to successfully interdict the drug supply. Our contacts with the City of Troy Narcotics unit provided detailed informational and database material on the logistics, modus operandi and quantitative elements characterizing a typical city-level illegal drug trafficking operation. Realistic test instances based on this data base were used in conjunction with newly developed software to test and validate our new mathematical model. The model has also been employed in computational analysis of several policy questions relating to management of illegal drug activity. The results provide significantly novel and useful tools to aid law enforcement in managing illegal drug trfficking utilizing limited resources efficiently. Additionally, more sophisticated mathematical models have also been considered for more complex supply chains involving interacting parallel channels to treat multi-commodity trafficking which has applications in combating inter-city illegal drug trafficking.
机译:由于事故或人为干预而遭受破坏的联网关键基础设施系统的分析是一个重要的数学问题,在许多领域中都有多种应用。我们的研究针对的是一个关键的社会问题,即城市级非法毒品贩运给资源有限的执法人员带来的挑战。非法贩毒构成了一个动态变化的供应链,涉及一个分层的网络结构,犯罪分子在其中寻求通过网络最大化商品和服务的流动。我们已经开发出了新颖的方法和模型,该模型将多周期网络拦截策略与许多新应用结合在一起,解决了几类流动问题,例如有效调度执法活动以成功拦截毒品供应。我们与特洛伊市麻醉药品部门的联系提供了详细的信息和数据库材料,包括后勤,作案手法和定量要素,这些特征和特征构成了典型的城市级非法贩毒活动。基于该数据库的实际测试实例与新开发的软件一起用于测试和验证我们的新数学模型。该模型还用于与非法药物活动管理有关的若干政策问题的计算分析。结果提供了非常新颖和有用的工具,可帮助执法部门有效地利用有限的资源来管理非法毒品走私。另外,还考虑了更复杂的供应链涉及更复杂的供应链,其中涉及相互作用的并行渠道来处理多商品交易,这在打击城市间非法毒品交易中具有应用。

著录项

  • 作者

    Malaviya, Ajay Kumar.;

  • 作者单位

    Rensselaer Polytechnic Institute.;

  • 授予单位 Rensselaer Polytechnic Institute.;
  • 学科 Engineering Industrial.;Operations Research.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 207 p.
  • 总页数 207
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:31

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