- ISBN:9787302558187
- 装帧:一般胶版纸
- 册数:暂无
- 重量:暂无
- 开本:其他
- 页数:192
- 出版时间:2020-07-01
- 条形码:9787302558187 ; 978-7-302-55818-7
本书特色
危险品运输决策的科学指南,风险和成本权衡的重要参考,理论与实践兼备
内容简介
本书系统梳理了危险品运输车辆路径优化的理论与方法。全书共10章:首先,介绍了理论基础和相关文献综述;其次,给出危险品运输车辆路径优化的基本问题并介绍求解方法;再次,提出基于车辆个体风险的危险品运输车辆路径优化,并在止车辆并行、考虑事故后路段失效、风险基于实时装载量、重大事故规避四种不同的情景下进行研究;很后,分析危险品运输事故的典型案例,给出危险品运输车辆路径优化的实例,从企业决策者和政府管理部门两方面总结管理启示和政策建议,并展望了未来的研究方向。 本书涵盖了危险品运输车辆路径优化的各方面内容,既可作为相关领域研究者的参考书,也可作为物流企业决策者和政府相关部门管理人员的参考资料。
目录
目 录
第1章 绪 论 ··················································································1
1.1 危险品运输车辆路径优化的背景和意义 ·······························1
1.2 危险品运输车辆路径优化的研究内容和发展趋势 ················4
第2章 理论基础 ···············································································8
2.1 图与网络的基本概念 ·····························································8
2.2 *小生成树 ··········································································10
2.3 *短路径问题 ······································································12
2.4 车辆路径问题 ······································································14
2.5 多目标优化问题及其求解····················································18
2.6 其他相关理论 ······································································21
第3章 相关研究综述 ·····································································24
3.1 危险品运输及其风险 ···························································24
3.2 危险品运输路径选择研究····················································38
3.3 危险品运输车辆路径问题研究 ············································45
3.4 其他相关研究 ······································································49
3.5 本章小结 ··············································································53
第4章 危险品运输车辆路径优化的基本问题 ·································56
4.1 引言 ·····················································································56
4.2 经典危险品运输车辆路径优化问题 ·····································57
4.3 基于车辆个体风险的危险品运输车辆路径优化问题···········59
4.4 求解双目标危险品运输车辆路径优化 ·································61
4.5 本章小结 ··············································································66
第5 章 禁止车辆并行的危险品运输车辆路径优化··························67
5.1 引言 ·····················································································67
5.2 禁止车辆并行的危险品运输车辆路径优化问题
描述与建模 ··········································································68
5.3 禁止车辆并行的危险品运输车辆路径优化模型
分析与求解 ··········································································72
5.4 算法测试 ··············································································80
5.5 本章小结 ··············································································88
第6 章 考虑事故后路段失效的危险品运输车辆路径优化 ···············89
6.1 引言 ·····················································································89
6.2 考虑事故后路段失效的危险品运输车辆路径
优化问题描述与建模 ···························································90
6.3 考虑事故后路段失效的危险品运输车辆路径
优化模型分析与求解 ···························································93
6.4 算法测试 ············································································100
6.5 本章小结 ············································································108
第7 章 基于实时装载量风险的危险品运输车辆路径优化 ·············109
7.1 引言 ···················································································109
7.2 基于实时装载量风险的危险品运输车辆路径
优化问题描述与建模 ·························································110
7.3 基于实时装载量风险的危险品运输车辆路径优化模型
分析与求解 ········································································113
7.4 算法测试 ············································································122
7.5 本章小结 ············································································128
目 录
XIII
第8章 重大事故规避的危险品运输车辆路径优化 ························130
8.1 引言 ···················································································130
8.2 重大事故规避的危险品运输车辆路径优化问题
描述与建模 ········································································131
8.3 重大事故规避的危险品运输车辆路径优化模型
分析与求解 ········································································133
8.4 算法测试 ············································································139
8.5 本章小结 ············································································143
第9章 危险品运输车辆路径优化的实践 ·······································144
9.1 危险品运输事故的典型案例分析 ······································144
9.2 危险品运输车辆路径优化的实例 ······································154
9.3 管理启示与政策建议 ·························································157
第10章 总结与展望 ·····································································162
附录 ································································································166
参考文献 ·························································································167
作者简介
张萌,西安交通大学管理学院专职科研博士后,助理研究员。主要研究方向为危险品运输车辆路径优化。在IEEE TITS、IEEE TEM等国际主流期刊发表学术论文5篇,在运筹与管理等国内重要刊物发表论文4篇;参与国家自然科学基金重点项目、面上项目各1项。 王能民,西安交通大学三级教授,博士生导师,天山学者讲座教授,昆明理工大学兼职教授;入选国j级人才计划、教育部“新世纪优秀人才支持计划”、海尔首届雨林学者;中z部团中央第19批博士服务团成员,任昆明理工大学校党委常委、校长助理(2019年1月至12月);中国系统工程学会可持续运营与管理系统分会秘书长,中国优选法统筹法与经济数学研究会高等教育管理分会副理事长,中国管理现代化研究会青年工作委员会副主任委员;IEEE TEM、IMDS编委。主要研究方向为可持续运营与管理。主持国家自然/社会科学基金、国家软科学项目、蔡元培中法合作项目等国j级项目6项,其中国家自然科学基金重点项目1项。在IEEE TITS、IEEE TEM、EJOR等国际主流期刊发表/录用学术论文50余篇;向政府相关部门提交了多份决策咨询报告,获得省部级奖励12项。
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