The cold chain in the production area of fruits and vegetables is the primary link to reduce product loss and improve product quality,but it is also a weak link.With the application of big data technology in cold chai...The cold chain in the production area of fruits and vegetables is the primary link to reduce product loss and improve product quality,but it is also a weak link.With the application of big data technology in cold chain logistics,intelligent devices,and technologies have become important carriers for improving the efficiency of cold chain logistics in fruit and vegetable production areas,extending the shelf life of fruits and vegetables,and reducing fruit and vegetable losses.They have many advantages in fruit and vegetable pre-cooling,sorting and packaging,testing,warehousing,transportation,and other aspects.This article summarizes the rapidly developing and widely used intelligent technologies at home and abroad in recent years,including automated guided vehicle intelligent handling based on electromagnetic or optical technology,intelligent sorting based on sensors,electronic optics,and other technologies,intelligent detection based on computer vision technology,intelligent transportation based on perspective imaging technology,etc.It analyses and studies the innovative research and achievements of various scholars in applying intelligent technology in fruit and vegetable cold chain storage,sorting,detection,transportation,and other links,and improves the efficiency of fruit and vegetable cold chain logistics.However,applying intelligent technology in fruit and vegetable cold chain logistics also faces many problems.The challenges of high cost,difficulty in technological integration,and talent shortages have limited the development of intelligent technology in the field of fruit and vegetable cold chains.To solve the current problems,it is proposed that costs be controlled through independent research and development,technological innovation,and other means to lower the entry threshold for small enterprises.Strengthen integrating intelligent technology and cold chain logistics systems to improve data security and system compatibility.At the same time,the government should introduce relevant policies,provide necessary financial support,and establish talent training mechanisms.Accelerate the development and improvement of intelligent technology standards in the field of cold chain logistics.Through technological innovation,cost control,talent cultivation,and policy guidance,we aim to promote the upgrading of the agricultural industry and provide ideas for improving the quality and efficiency of fruit and vegetable cold chain logistics.展开更多
随着经济的发展,城市交通路网拓扑的日益复杂且交通状况突发多变,传统的设定客户间道路唯一且通行状态不变的动态车辆路径规划模型很难有效指导物流企业进行物流配送作业.本文利用智慧交通系统,结合物流配送作业需求,构建了分时段的动...随着经济的发展,城市交通路网拓扑的日益复杂且交通状况突发多变,传统的设定客户间道路唯一且通行状态不变的动态车辆路径规划模型很难有效指导物流企业进行物流配送作业.本文利用智慧交通系统,结合物流配送作业需求,构建了分时段的动态交通路网模型,量化了不同类型的城市道路对物流车辆调度与路径规划的影响,以燃油、时间窗、司机等综合成本最低为目标,建立了考虑城市道路分级与动态交通路网的动态车辆路径问题(DVRP-RD,Dynamic Vehicle Route Problem with Road Condition)的两阶段混合整数模型,改进了遗传算法对其进行求解.最后,以深圳市的南山区与宝安区的真实路网为例,模拟了不同规模的客户需求与3种不同的动态更新机制,实验结果表明该方案与模型可以有效的为物流企业降低城市物流配送成本、提高调度效率与改善服务质量.展开更多
目的针对生鲜产品冷链配送环节存在的配送成本高、产品易腐坏等问题,研究考虑新鲜度的生鲜冷链物流同时取送货车辆路径优化。方法首先考虑同时取送货的场景,以及生鲜产品在不同场景下的新鲜度衰减速度,以车辆使用成本、货损成本、时间...目的针对生鲜产品冷链配送环节存在的配送成本高、产品易腐坏等问题,研究考虑新鲜度的生鲜冷链物流同时取送货车辆路径优化。方法首先考虑同时取送货的场景,以及生鲜产品在不同场景下的新鲜度衰减速度,以车辆使用成本、货损成本、时间惩罚成本之和最小为目标,建立考虑新鲜度的生鲜冷链物流同时取送货车辆路径优化模型;其次,基于此模型,设计一种带大邻域搜索思想的头脑风暴算法(Brain storm optimization with large neighborhood search algorithm,BSO-LNS)进行求解;然后,通过与CPLEX求解器、遗传算法的对比分析,验证所建模型的合理性及求解算法的有效性;最后,求解实际冷链物流企业的算例,验证本文模型在实际冷链物流配送中的应用价值。结果基于不同规模的算例,与CPLEX求解器、遗传算法相比,所设计的算法的求解效果更好,同时其求解速度更快。结论所提模型、算法可有效减少生鲜产品品质损耗,同时兼顾对总成本的控制,进而为生鲜物流企业提供了方法参考和决策依据。展开更多
为深入分析国内外冷链物流配送路径优化领域研究的热点和发展趋势,采用文献计量学方法,对冷链物流配送路径优化领域的中外文献进行了系统性分析。通过CiteSpace工具对CNKI和Web of Science数据库中的662篇中文及516篇外文文献进行可视...为深入分析国内外冷链物流配送路径优化领域研究的热点和发展趋势,采用文献计量学方法,对冷链物流配送路径优化领域的中外文献进行了系统性分析。通过CiteSpace工具对CNKI和Web of Science数据库中的662篇中文及516篇外文文献进行可视化分析,发现国内学者主要立足于实践应用需求,国际研究更强调理论框架的系统性建构。尽管存在差异,但中外学者在系统优化、质量管控和技术创新等关键领域具有共同关注点。基于分析结果,提出了具有指导意义的未来研究方向,包括可持续目标、跨学科融合、国际合作驱动等,为相关领域的学术研究和产业实践提供了重要参考依据。展开更多
针对带时间窗的时间依赖型同时取送货车辆路径问题(Time Dependent Vehicle Routing Problem with Simultaneous Pickup-Delivery and Time Windows,TDVRPSPDTW),本文建立以车辆固定成本、驾驶员成本、燃油消耗及碳排放成本之和为优化...针对带时间窗的时间依赖型同时取送货车辆路径问题(Time Dependent Vehicle Routing Problem with Simultaneous Pickup-Delivery and Time Windows,TDVRPSPDTW),本文建立以车辆固定成本、驾驶员成本、燃油消耗及碳排放成本之和为优化目标的数学模型;并在传统蚁群算法的基础上,利用节约启发式构造初始解初始化信息素,改进状态转移规则,引入局部搜索策略,提出一种带自适应大邻域搜索的混合蚁群算法(Ant Colony Optimization with Adaptive Large Neighborhood Search,ACO-ALNS)进行求解;最后,分别选取基准问题算例和改编生成TDVRPSPDTW算例进行实验。实验结果表明:本文提出的ACO-ALNS算法可有效解决TDVRPSPDTW的基准问题;相较于模拟退火算法和带局部搜索的蚁群算法,本文算法求解得到的总配送成本最优值平均分别改善7.56%和2.90%;另外,相比于仅考虑碳排放或配送时间的模型,本文所构建的模型综合多种因素,总配送成本平均分别降低4.38%和3.18%,可有效提高物流企业的经济效益。展开更多
为揭示电动车辆路径问题领域的研究与发展现状,对CNKI和Web of Science数据库中电动车辆路径问题1994-2022年间的期刊文献进行知识挖掘与分析。基于文献计量学的量化分析与知识图谱的可视化,通过分析文献外部特征和共被引情况,梳理研究...为揭示电动车辆路径问题领域的研究与发展现状,对CNKI和Web of Science数据库中电动车辆路径问题1994-2022年间的期刊文献进行知识挖掘与分析。基于文献计量学的量化分析与知识图谱的可视化,通过分析文献外部特征和共被引情况,梳理研究热点及热点演进趋势,归纳研究主题,总结出电动车辆路径问题的知识域包括研究主题和应用场景,其中,研究主题由变体研究、充电调度、求解方法三部分构成;对电动车辆路径问题在复杂实际问题、高效求解算法方面的未来发展进行展望,这将为电动车辆路径问题研究的深入化与国际化提供一定的推动作用。展开更多
基金National Natural Science Foundation of China(32301718)Chinese Academy of Agricultural Sciences under the Special Institute-level Coordination Project for Basic Research Operating Costs(S202328)。
文摘The cold chain in the production area of fruits and vegetables is the primary link to reduce product loss and improve product quality,but it is also a weak link.With the application of big data technology in cold chain logistics,intelligent devices,and technologies have become important carriers for improving the efficiency of cold chain logistics in fruit and vegetable production areas,extending the shelf life of fruits and vegetables,and reducing fruit and vegetable losses.They have many advantages in fruit and vegetable pre-cooling,sorting and packaging,testing,warehousing,transportation,and other aspects.This article summarizes the rapidly developing and widely used intelligent technologies at home and abroad in recent years,including automated guided vehicle intelligent handling based on electromagnetic or optical technology,intelligent sorting based on sensors,electronic optics,and other technologies,intelligent detection based on computer vision technology,intelligent transportation based on perspective imaging technology,etc.It analyses and studies the innovative research and achievements of various scholars in applying intelligent technology in fruit and vegetable cold chain storage,sorting,detection,transportation,and other links,and improves the efficiency of fruit and vegetable cold chain logistics.However,applying intelligent technology in fruit and vegetable cold chain logistics also faces many problems.The challenges of high cost,difficulty in technological integration,and talent shortages have limited the development of intelligent technology in the field of fruit and vegetable cold chains.To solve the current problems,it is proposed that costs be controlled through independent research and development,technological innovation,and other means to lower the entry threshold for small enterprises.Strengthen integrating intelligent technology and cold chain logistics systems to improve data security and system compatibility.At the same time,the government should introduce relevant policies,provide necessary financial support,and establish talent training mechanisms.Accelerate the development and improvement of intelligent technology standards in the field of cold chain logistics.Through technological innovation,cost control,talent cultivation,and policy guidance,we aim to promote the upgrading of the agricultural industry and provide ideas for improving the quality and efficiency of fruit and vegetable cold chain logistics.
文摘随着经济的发展,城市交通路网拓扑的日益复杂且交通状况突发多变,传统的设定客户间道路唯一且通行状态不变的动态车辆路径规划模型很难有效指导物流企业进行物流配送作业.本文利用智慧交通系统,结合物流配送作业需求,构建了分时段的动态交通路网模型,量化了不同类型的城市道路对物流车辆调度与路径规划的影响,以燃油、时间窗、司机等综合成本最低为目标,建立了考虑城市道路分级与动态交通路网的动态车辆路径问题(DVRP-RD,Dynamic Vehicle Route Problem with Road Condition)的两阶段混合整数模型,改进了遗传算法对其进行求解.最后,以深圳市的南山区与宝安区的真实路网为例,模拟了不同规模的客户需求与3种不同的动态更新机制,实验结果表明该方案与模型可以有效的为物流企业降低城市物流配送成本、提高调度效率与改善服务质量.
文摘目的针对生鲜产品冷链配送环节存在的配送成本高、产品易腐坏等问题,研究考虑新鲜度的生鲜冷链物流同时取送货车辆路径优化。方法首先考虑同时取送货的场景,以及生鲜产品在不同场景下的新鲜度衰减速度,以车辆使用成本、货损成本、时间惩罚成本之和最小为目标,建立考虑新鲜度的生鲜冷链物流同时取送货车辆路径优化模型;其次,基于此模型,设计一种带大邻域搜索思想的头脑风暴算法(Brain storm optimization with large neighborhood search algorithm,BSO-LNS)进行求解;然后,通过与CPLEX求解器、遗传算法的对比分析,验证所建模型的合理性及求解算法的有效性;最后,求解实际冷链物流企业的算例,验证本文模型在实际冷链物流配送中的应用价值。结果基于不同规模的算例,与CPLEX求解器、遗传算法相比,所设计的算法的求解效果更好,同时其求解速度更快。结论所提模型、算法可有效减少生鲜产品品质损耗,同时兼顾对总成本的控制,进而为生鲜物流企业提供了方法参考和决策依据。
文摘为深入分析国内外冷链物流配送路径优化领域研究的热点和发展趋势,采用文献计量学方法,对冷链物流配送路径优化领域的中外文献进行了系统性分析。通过CiteSpace工具对CNKI和Web of Science数据库中的662篇中文及516篇外文文献进行可视化分析,发现国内学者主要立足于实践应用需求,国际研究更强调理论框架的系统性建构。尽管存在差异,但中外学者在系统优化、质量管控和技术创新等关键领域具有共同关注点。基于分析结果,提出了具有指导意义的未来研究方向,包括可持续目标、跨学科融合、国际合作驱动等,为相关领域的学术研究和产业实践提供了重要参考依据。
文摘针对带时间窗的时间依赖型同时取送货车辆路径问题(Time Dependent Vehicle Routing Problem with Simultaneous Pickup-Delivery and Time Windows,TDVRPSPDTW),本文建立以车辆固定成本、驾驶员成本、燃油消耗及碳排放成本之和为优化目标的数学模型;并在传统蚁群算法的基础上,利用节约启发式构造初始解初始化信息素,改进状态转移规则,引入局部搜索策略,提出一种带自适应大邻域搜索的混合蚁群算法(Ant Colony Optimization with Adaptive Large Neighborhood Search,ACO-ALNS)进行求解;最后,分别选取基准问题算例和改编生成TDVRPSPDTW算例进行实验。实验结果表明:本文提出的ACO-ALNS算法可有效解决TDVRPSPDTW的基准问题;相较于模拟退火算法和带局部搜索的蚁群算法,本文算法求解得到的总配送成本最优值平均分别改善7.56%和2.90%;另外,相比于仅考虑碳排放或配送时间的模型,本文所构建的模型综合多种因素,总配送成本平均分别降低4.38%和3.18%,可有效提高物流企业的经济效益。
文摘为揭示电动车辆路径问题领域的研究与发展现状,对CNKI和Web of Science数据库中电动车辆路径问题1994-2022年间的期刊文献进行知识挖掘与分析。基于文献计量学的量化分析与知识图谱的可视化,通过分析文献外部特征和共被引情况,梳理研究热点及热点演进趋势,归纳研究主题,总结出电动车辆路径问题的知识域包括研究主题和应用场景,其中,研究主题由变体研究、充电调度、求解方法三部分构成;对电动车辆路径问题在复杂实际问题、高效求解算法方面的未来发展进行展望,这将为电动车辆路径问题研究的深入化与国际化提供一定的推动作用。
