再制造集成物流网络优化：理论与方法（清华汇智文库）

定　价：¥79.00

作　者：	尉迟群丽，王能民，何正文著
出版社：	清华大学出版社
丛编项：
标　签：	暂缺

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ISBN：	9787302557029	出版时间：	2020-07-01	包装：	平装
开本：	16开	页数：	184	字数：

内容简介

　　本书基于我国的再制造产业结构，介绍再制造集成物流网络设计问题的基本理论和方法。全书共9章，以再制造集成物流网络设计贯穿始终：首先，讲述再制造集成物流网络优化设计问题的背景、基本概念和研究思路；其次，对再制造集成物流网络的理论基础和优化方法进行了梳理和总结，旨在奠定本书研究问题的理论基础；再次，分析和探讨了不同实践模式下的再制造集成物流网络优化设计问题，为企业实践提供理论支持；最后，对企业实践中的再制造集成物流网络优化设计典型案例进行分析，总结主要的研究成果以指导企业实践。本书提供了大量再制造集成物流网络设计相关案例，以便读者理解和构建闭环供应链网络集成优化模型，全书侧重于对研究问题的探讨，力图为读者未来的相关研究提供新思路。本书既可作为高等院校物流管理、电子商务和管理科学与工程等专业研究生的参考用书，也可为相关领域企业和政府决策管理人员提供参考。

作者简介

　　尉迟群丽，管理学博士，西安理工大学经济与管理学院讲师。主要研究方向为闭环供应链物流网络设计与优化，闭环供应链配送优化模型与算法等。在ITOR等国际主流期刊发表论文3篇，在运筹与管理等国内重要刊物发表论文1篇；参与国家自然基金项目1项，主持厅级项目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。

图书目录

目　录

第一章再制造集成物流网络及其优化设计概述 ································1

第一节　再制造集成物流网络优化设计的背景·····························1

第二节　再制造集成物流网络的概念 ···········································5

第三节　再制造集成物流网络分析 ···············································7

第四节　再制造集成物流网络优化设计 ······································11

第二章再制造集成物流网络的理论基础 ·········································13

第一节　选址-路径问题 ·····························································13

第二节　库存-路径问题 ·····························································15

第三节　选址-库存问题 ·····························································17

第四节　集成物流网络优化问题 ·················································19

第五节　再制造集成物流网络优化问题 ······································22

第三章组合优化问题与方法 ···························································27

第一节　组合优化问题概述 ························································27

第二节　组合优化问题的计算复杂度 ·········································28

第三节　组合优化问题的复杂性 ·················································29

第四节　组合优化问题的求解方法 ·············································31

第五节　启发式算法····································································32

第四章再制造集成物流网络优化设计研究的基本问题 ···················41

第一节　经典再制造集成物流网络优化问题 ······························41

第二节　再制造集成物流网络优化问题的基本模型 ······························42

第三节　经典再制造集成物流网络优化问题求解 ·······················46

本章小结 ······················································································72

第五章考虑缺货策略的再制造集成物流网络优化设计···················73

第一节　考虑缺货策略的再制造集成物流网络优化模型构建 ····73
第二节　禁忌搜索启发式算法 ·····················································79
第三节　算法测试 ·······································································82
本章小结 ······················································································88

第六章不同回收策略下的再制造集成物流网络优化设计················89

第一节　不同回收策略下的再制造集成物流网络模型构建 ········89
第二节　混合禁忌搜索-模拟退火启发式算法 ···························98
第三节　算法测试 ·····································································105
本章小结 ····················································································115

第七章双渠道回收模式下的再制造集成物流网络优化设计 ·········· 116

第一节　双渠道回收模式下的再制造集成物流网络模型构建 ···116
第二节　遗传算法 ·····································································126
第三节　算法测试 ·····································································135
本章小结 ····················································································145

第八章再制造集成物流网络设计优化的应用································146

第一节　再制造集成物流网络典型案例分析 ····························146
第二节　再制造集成物流网络设计优化实例 ····························149
第三节　对策与建议··································································151

第九章总结与展望·······································································152

第一节　本书的主要内容及结论 ···············································152
第二节　研究不足与展望 ··························································157

参考文献·························································································158

附录 ································································································168