Optimization Model of Cold-Chain Logistics Network for Fresh Agricultural Products —Taking Guangdong Province as an Example

Cold-chain demand of fresh agricultural products is increasing in China, while network layout of cold-chain logistics is in disorder and its cost is huge. To address this problem, this paper casts an optimal model of cold-chain logistics network and tackles it with genetic algorithms. This optimal model takes running total cost of logistics network as the objective, and embeds a nonlinear mixed integer programming including two assignment issues. The model determines optimal layout and logistics management for pre-cooling stations and logistics center for fresh agricultural products. Our main contribution is to consider construction cost and operation cost of cold chain logistics simultaneously. Case study illustrates the effectiveness of the model.

Stackelberg Game-Based Resource Allocation with Blockchain for Cold-Chain Logistics System

Cold-chain logistics system(CCLS)plays the role of collecting and managing the logistics data of frozen food.However,there always exist problems of information loss,data tampering,and privacy leakage in traditional centralized systems,which influence frozen food security and people’s health.The centralized management form impedes the development of the cold-chain logistics industry and weakens logistics data availability.This paper first introduces a distributed CCLS based on blockchain technology to solve the centralized management problem.This system aggregates the production base,storage,transport,detection,processing,and consumer to form a cold-chain logistics union.The blockchain ledger guarantees that the logistics data cannot be tampered with and establishes a traceability mechanism for food safety incidents.Meanwhile,to improve the value of logistics data,a Stackelberg game-based resource allocation model has been proposed between the logistics data resource provider and the consumer.The competition between resource price and volume balances the resource supplement and consumption.This model can help to achieve an optimal resource price when the Stackelberg game obtains Nash equilibrium.The two participants also can maximize their revenues with the optimal resource price and volume by utilizing the backward induction method.Then,the performance evaluations of transaction throughput and latency show that the proposed distributed CCLS is more secure and stable.The simulations about the variation trend of data price and amount,optimal benefits,and total benefits comparison of different forms show that the resource allocation model is more efficient and practical.Moreover,the blockchain-based CCLS and Stackelberg game-based resource allocation model also can promote the value of logistic data and improve social benefits.

Quantum Secure Undeniable Signature for Blockchain-Enabled Cold-Chain Logistics System

Data security and user privacy are two main security concerns in the cold-chain logistics system(CCLS).Many security issues exist in traditional CCLS,destroying data security and user privacy.The digital signature can provide data verification and identity authentication based on the mathematical difficulty problem for logistics data sharing in CCLS.This paper first established a blockchain-enabled cold-chain logistics system(BCCLS)based on union blockchain technology,which can provide secure data sharing among different logistics nodes and guarantee logistics data security with the untampered blockchain ledger.Meanwhile,a lattice-based undeniable signature scheme is designed to strengthen the security of logistics data and user privacy against quantum attacks.This scheme is based on the lattice assumption,which can provide anti-quantum security for BCCLS in the future quantum computer age.It also establishes the undeniable mechanism that guarantees that the actual signer cannot deny a valid signature.Then,security proof shows that this undeniable signature scheme is correct and safe,and an efficiency comparison shows that it is more efficient than other schemes in similar literature.The performance evaluations of transaction throughput and latency show that the proposed BCCLS is efficient and practical.This work can improve the security and efficiency of logistics data management and promote the reform and development of the logistics industry.

The Construction of Cold-Chain Logistics Park of Agricultural Products in Sanshui from Two-stage Perspective

This paper firstly analyzed the operation model,market positioning,market demand forecast as well as market competition and challenges,park site selection,and transportation conditions for construction of the Cold-Chain Logistics Park of Agricultural Products in Sanshui.Then,it presented the overall planning scheme for construction of the Cold-Chain Logistics Park of Agricultural Products from a progressive two-stage perspective of overall planning and stage-by-stage implementation.The first stage mainly performs the function as a transaction platform of agricultural products and meanwhile provides customers with agricultural products storage and inspection services.The second stage adds value-added services such as distribution processing,modified atmosphere storage,freezing and refrigeration,market price information distribution,E-commerce of agricultural products and personalized services.It is expected to provide references and suggestions for the construction of the Cold-Chain Logistics Park of Agricultural Products.

Research on the Challenges of Cold-chain Logistics and the Combination Ways with Logistics O2O Operation

In this paper, we conduct research on challenges of cold-chain logistics and combination ways with logistics O2O operation. Because of the cold chain logistics to the high requirement of the equipment, technology as caused the high cost of cold chain logistics. In the overall cost of China’s logistics is on the high side, under the condition of low profi t, many enterprises to enter and don’t have much interest in the field of cold chain logistics. So-called cold chain logistics is frozen food in the production, storage, transportation, sales, remain the regulations to the consumption of each link in the cold chain environment, to ensure the food quality, reduce loss of food and system engineering. Under this basis, we propose the O2O based logistics pattern that will solve the issues well.

Temporal-spatial Distribution Model of Cold Chain Logistics for Vegetables

[Objective] The aim was to study on temporal-spatial distribution model of cold chain logistics for vegetables. [Method] Broccoli was taken as an example. Detailedly, time-space distribution model of cold chain logistics for broccoli was proposed from standpoints of costs and benefits based on changes of time and space, and a comprehensive evaluation was made on timeliness, efficiency, risks, added- value of products and satisfaction of information in cold-chain logistics. [Result] The efficiency of cold chain logistics for vegetable can be greatly improved by temporal- spatial distribution model of cold chain logistics. [Conclusion] Costs and benefits of vegetables in temporal-apstial distribution could be evaluated by the model.

An Analysis of the Cold Chain Logistics concerning Agricultural Products in Chongqing City

Agriculture is the foundation of the national economy. On the one hand,there is increasing demand for fresh and safe refrigerated agricultural products; on the other hand,the current cold chain logistics is relatively underdeveloped and has many problems. This paper does a research on the major large-scale agricultural cold-chain logistics companies in Chongqing,and finds that cold-chain logistics in Chongqing has some problems such as incomplete industrial chain,relatively backward infrastructure,lack of talents,and high logistics costs. Some solutions to these problems are put forward: improving chain logistics infrastructure; strengthening personnel training; building information platform to create a new model of the cold-chain logistics in the Internet era; seeking government's policy and financial support.

基于主成分-Logistic模型的医药业上市企业财务风险预警研究

为客观科学对医药业上市企业进行财务风险预警,选取了截至2021年深交所和上交所上市的20家医药上市企业为样本。从盈利、偿债、营运、发展、现金流五个方面选取了51个指标,采用S-W检验、F检验、Mann-Whitney U检验对51个指标进行筛选,构建出财务风险预警指标体系。最后,利用主成分分析结合模型构建出财务风险预警模型,模型准确度为85%,希望所构建模型对医药业健康发展起到借鉴作用。

医药物流现状及发展对策研究

我国医药物流的组织结构持续优化,经历了一系列重组,且发展规模也在不断扩大。医药产品的市场规模也在不断增加。同时,广泛应用物联网技术和充分利用物流信息技术已经深刻地影响了医药物流公司未来的发展。这种趋势对整个行业的发展产生了深远的影响。智慧物流以信息管理技术为基本,大幅地使物流公司成本降低、物流服务效率得到提高,为医药物流的快速健康发展提供了强有力的支撑。药品仓储是药品物流的一部分。基于医药发展现状,通过查阅现有文献和数据,整理各类期刊中的相关信息,研究存在的问题,提出医药物流的创新对策,以促进医药物流企业在新的发展形势下做出正确的判断或衡量。

江西现代医药物流企业人工智能技术应用现状与建议

目的完善现代药品流通体系,提升药品供应保障服务能力。方法对江西省637家药品批发企业和零售连锁企业发放《人工智能技术在江西省现代医药物流应用建设研究》调查问卷,调查内容包括医药企业未来5年实施现代医药物流的意愿、药品经营企业计算机配备情况、人工智能设备配置情况、影响因素、企业期望解决的问题,分析江西省现代医药物流发展存在的问题,并提出针对性建议。结果共发放637份调查问卷,回收395份有效问卷,有效回收率为62.01%。其中,194家(49.11%)企业表示有计划在未来5年达到药品现代物流条件;所有获得药品经营许可证的企业均已配备企业计划资源(ERP)系统;已配备仓储管理系统(WMS)、运输管理系统(TMS)、温湿度调控设备、条形码编制/打印扫描设备、射频扫描技术(RF)设备、动力输送线、自动导向搬运车(AGV)、电动叉车和巷道堆垛机的企业占比分别为24.30%,18.73%,84.81%,26.08%,17.22%,14.43%,12.41%,18.23%,7.09%。企业近3年年均销售额、企业仓库面积为主要影响现代医药物流是否建立的因素。医药企业希望能根据企业类型设置开办条件,放宽物流专业人员条件,解决医药物流配送“最后一公里”配送难、成本高的问题。目前存在企业数量增长速度快、规模偏小,企业设施设备智能化水平不高,企业人工智能设备投入与收益不相匹配等问题。结论建议政府相关部门提供相关支持政策,破除药品流通体制机制障碍;现代医药物流行业加强人工智能技术运用,提升企业核心竞争力,促进行业高质量发展。

基于改进禁忌搜索算法的药房批量取药路径规划研究

针对药房批量取药这一现实问题,在设计药房整体环境布局和引入路径规划算法的基础上,提出以重量加权的距离为目标的旅行商问题TSP(Traveling Salesman Problem)。建立一个混合整数规划模型,使用禁忌搜索算法进行模型求解,使用曼哈顿距离作为两点之间距离,在禁忌长度等参数设置上使用动态自适应方法,并在算法中加入扰动方法,避免算法陷入局部最优,增加搜索目标的多样性。最后使用JAVA进行了仿真模拟实验,可视化结果验证了算法的可行性和有效性。

四川省药品现代物流现状与发展路径

目的探讨四川省药品现代物流的发展路径。方法结合药品现代物流行业发展历程整理相关政策,以四川省药品现代物流发展现状分析制约发展的因素,提出发展路径。结果与结论基于药品质量科学监管视角,提出关于构建完善全国医药物流网络、推动建设四川省特色现代药品物流发展路径的六点思考。在国内国际双循环及深化医药卫生体制改革大背景下,应加强顶层系统设计和标准化建设,注重环境塑造、法规完善及合理引导,注重网络化协同建设,以高效推进建设四川省药品现代物流。

融合A^(*)和禁忌搜索的药房批量取药路径规划算法研究

考虑药房取药场景的实际复杂情况,综合批量取药、多趟取药、药品重量限制等因素,将药房批量取药路径规划问题转换为一个带最大容量约束和多循环约束、以重量加权距离为目标的车辆路径问题,设计了一种融合A^(*)和改进禁忌搜索的混合算法,并在算法设计和工程实现两个角度上进行优化,提高算法性能。最后使用JAVA语言进行仿真实验和可视化展示,验证了算法对于构造的不同规模的所有算例,均能在合理时间内给出可行有效的取药路径,具有较好的路径规划效果。

基于节能与先进技术的制药行业灯塔工厂研究

科技的迅猛进步与医药行业市场竞争的日趋激烈,已迫使传统制药工厂寻求转型升级之道。在这一背景下,智慧灯塔制药工厂作为一种创新解决方案应运而生。该方案融合了节能内核、机器人及自动化物流系统、BIM可视化设计施工运维一体化数据库平台、SCADA及物联网数据采集技术、生产工艺仿真技术以及数据孪生技术等众多前沿科技。本文旨在详细剖析这些技术在智慧灯塔制药工厂规划与实施过程中的关键作用和应用价值,以期为制药行业的可持续发展提供新的视角和思路。

门诊药房现代化药品物流与调剂体系的建设实践

目的:介绍我院门诊药房进行现代化药品物流与调剂体系建设的实践经验,为现代化门诊药房的建设提供借鉴。方法:通过二级库的设立和药品供应链管理系统、电子化药品存储系统的建立完成了药品物流体系的建设;通过对不同功能的自动发药机进行合理组合以实行不同模式相结合的调配方式、自动化药房管理系统的建立和自动化药房系统故障应急预案的制订完成了药品调剂体系的建设;通过比较各系统应用前、后的相关指标对我院药品物流与调剂体系建设效果进行评价。结果:借助药品供应链管理系统,可实现药品采购信息的自动采集和计算,采购频次和工作用时分别减少了50%和75%,采购计划的准确率提升了12.5%;借助电子化药品存储系统,可实现药品的位置和数量的实时获取,使补药和盘点的时间分别减少了67%和58%,手工调配处方的时间缩短了68%,人工调配的内差发生率降低了76.7%;在新的药品调剂体系下,处方能够实现自动智能分配,处方处理的自动化率达到了72.7%,患者平均取药等候时间控制在10 min以下。结论:我院建设的现代化药品物流与调剂体系,提高了药师的工作效率和药学服务质量,为实现药学服务模式的转变奠定了基础。

基于Flexsim的某医药物流中心拣货流程优化研究

目的将Flexsim仿真软件应用于医药物流行业,以提高医药物流中心零货库拣货流程的运作效率。方法以某大型医药物流中心为研究对象,根据该零货库区的布局,使用Flexsim仿真软件进行建模仿真,并根据订单拣选作业流程运用Flexsim脚本语言和C语言进行了编程。分析模型运行结果,找出了瓶颈,并对拣货流程进行了优化。结果优化后的流程,提高了拣货作业的效率,缩短了拣货时间。结论采用建模仿真的方法,找出拣货流程的瓶颈问题,并进行合理优化,可以提高医药物流中心零货库的拣货效率。

基于Flexsim对某医药物流中心立体仓库优化

目的利用Flexsim软件仿真医药物流中心立体仓库的运作,缩短立体仓库出入库作业时间,优化运作过程人员与设备的组合。方法以某大型医药物流中心为研究对象,根据实际立体仓库的布局,使用Flexsim仿真软件进行建模仿真时,首先采用遗传算法确定最优的出入库顺序,将结果在Flexsim中仿真运行,证明算法用于出入库仿真的实用性;然后对立体仓库整体流程进行仿真。结果优化后的流程,出入库作业效率提高了12.4%,确立了仓储作业在(2,2,2,2)配置下,实现了人员设备的最优利用。结论采用建模仿真的方法,找出了流程中的瓶颈,确认了最优出入库作业顺序,以及人员、设备组合,提高了医药物流中心的出入库效率,降低了设备、人员等成本。

基于SCM的生物制药公共物流平台运营模式

运用物流与供应链管理的基本思想,在分析我国生物制药公共物流平台的现状的基础上,对基于供应链管理的生物制药公共物流平台运营模式进行了研究。结果表明:开发基于供应链管理的生物制药公共物流平台运营模式,是我国生物制药企业增强市场竞争力的当务之急;从设计生物制药公共物流信息平台、专业化的生物制药第三方物流运营模式和药品安全责任防控协调体系入手,开发基于供应链管理出的生物制药公共物流平台运营模式,可有效降低生物制药企业的物流成本和确保在流通环节的药品安全责任。

供应-调剂-配送供应链系统用于医院药品管理效果评价

目的评价供应-调剂-配送(SPD)供应链系统用于医院药品管理的效果,为医院开展相关工作提供参考。方法医院建立SPD供应链管理模式,统一规范管理医院药品物流和信息流,利用信息条码技术,将药品的供应、库存、调剂、配送等工作进行集中于SPD供应链系统中一体化运行。回顾性调查SPD供应链系统运行前(2018年1月至5月)及运行后(2019年1月至5月)月均药房盘点所用时间、月均账物相符率、门诊患者取药平均等候时间、住院患者口服用药医嘱单平均调剂时间,同时全样本抽取同期药品管理、药品调剂、临床给药、信息管理环节的全部用药错误记录,对比分析SPD供应链系统运行前、后上述指标的变化,评价SPD供应链系统对药品管理及防范用药错误方面的改进效果。结果与运行前比较,该院SPD供应链系统运行后月均药房盘点所用时间、门诊患者取药平均等候时间、住院患者口服用药医嘱单平均调剂时间均显著缩短(P<0.05),月均账物相符率显著升高(P<0.05),药品管理、药品调配及临床给药环节错误例数显著减少(P<0.05)。结论SPD供应链系统的应用,可有效提升医院药品管理效率,减少用药差错,保障患者用药安全。

我国药品第三方物流监管政策分析

目的:比较各省药品第三方物流监管政策,为加强药品第三方物流科学监管,促进其健康发展提出建议。方法:检索各省级药品监督管理局网站,获取药品第三方物流监管的有关政策文件,对比分析,并提出建议。结果:各省加强药品第三方物流监管的意见、指导原则及其指南等大都集中在资质、委托范围、药品第三方物流企业硬件软件和机构人员、质量审计和质量协议、委托方和药品第三方物流企业责任划分规定和召回追溯、法律责任及处罚的规定等6个方面,但政策的具体规定及执行落实情况有所差别。结论:各省应该加强对药品第三方物流的科学监管,放宽准入企业类型范围,明确委托范围和委托方式,严格药品第三方物流基本要求,强化质量审计和制定质量协议示范文本,明确各方责任划分,确保召回追溯高效有序。