数字经济下虚拟集聚的现实基础与应用

虚拟集聚是数字经济的产业组织形态,是数字经济下资源重新配置的方式,已经渗入人们经济生活的各个方面,从集聚效应、新动能、新认识、新增长点等维度剖析虚拟集聚的现实基础,研究虚拟集聚对制造业的冲击及其在数字经济下的新应用。研究认为,网络空间的虚拟集聚是以“网”为基础、以“台”为依托、以“云”为支撑、以“端”为条件,虚拟集聚是集聚在数字经济下的演进,是在网络空间的集聚,具有智能物流、交易费用、空间范围、信息匹配、知识溢出、弱化黑洞、资源配置等集聚效应; 新一轮科技革命、产业变革与中国制造强国梦形成历史性交汇,促使虚拟集聚应运而生,并且成为新一代信息技术与制造业深度融合的新动能,能够显著促进产业数字化和数字产业化,带动传统产业集群转型升级,培育出世界级的先进制造业集群,推动中国制造迈向全球产业链价值链顶端; 虚拟集聚下制造业的关键核心是互联,在应用中需要产业数字化和数字产业化相辅相成,需要技术的支撑,表现为高度自动化、高度信息化和高度网络化,横向集成、纵向集成与端到端的集成,虚拟集聚的生产要素和生产力都是在虚拟空间体现,将推动制造业数字化转型、网络化协调、智能化变革; 随着新冠肺炎疫情全球蔓延,虚拟集聚成为新经济增长点,国际供应链中的虚拟集聚显著增长,跨境电商兴起,外贸行业快速数字化发展,教育行业、学术会议借助网络和软件线上进行,线上办公、云端会展快速流行,网络与快递业、餐饮与外卖业、短视频与直播经济、云医疗与大健康迅猛发展,数字阅读、文娱产业线上流行成为新的生活方式,元宇宙的虚拟世界也将推动科技发展带来经济新增长点。     

基于混合智能算法的电子市场供应链期权合同协调

在电子市场环境下,考虑了需求、市场价格和市场准入程度的随机性,基于Stack-erlberg主从对策,建立了供应链期权合同协调的随机期望值模型。在这一主从对策模型中,主方供应商的目标函数是预期利润,决策变量是期权合同预订费用和执行费用;从方分销商的目标函数是预期利润,决策变量是订货量。应用包括随机模拟、人工神经元网络和遗传算法组成的混合智能算法求解该主从对策问题。最后,结合上海宝钢集团益昌公司电子商务的运作实例,运用混合智能算法进行了仿真计算与分析。     

动态车辆路径问题排队模型分析

分析了一类动态车辆路径问题,其中顾客需求以泊松流形式出现,现场服务时间服从一般分布.提出解决该问题的两种策略:顺序服务策略和中点改进策略,利用排队论、几何概率论等领域的知识分别求出了这两种策略的系统时间,并通过仿真数据实验验证了这两种策略的有效性.     

车用天然气储气技术

天然气用作汽车的代用燃料,具有储量丰富、价格便宜;辛烷值高、燃烧充分;低硫、低氮、无灰、环境污染少等优点。但是,目前的压缩天然气储气技术存在储气压力高、储气量小、续驶里程短等缺点,严重制约着天然气汽车应用领域的扩展。对5种车用天然气储气技术进行了分析讨论后,指出了吸附储存和近临界流体储存天然气技术在天然气汽车领域将有着广阔的应用前景。     

Flexible work planning of service agents with load balancing

This work emerged from the need to better plan the daily work of 29 travelling service agents, who provide 1090 services to 412 customers in 283 sites, on daily average. A handy and flexible tool was developed and is presented herein. A major contribution of this study is an explicit consideration of the multi-dimensional nature of the problem by the inclusion of workload balancing, which may stand in conflict to cost minimisation. Further, the geographical distribution of the demand is highly irregular. Therefore, two load measures are required and balanced. This required to fitting a proper planning scheme. The planning tool has been applied successfully by the commercial service provider. Improvements in the order of 20% and more were obtained in key performance measures. Moreover, cost reductions, service improvement and load balance were obtained simultaneously: the standard deviations of the service times and working day’s duration were reduced by 18 and 58%, respectively. This enables to reduce the number of agents with no significant harm in performance. Additional practical advantages of the proposed tool are also discussed and demonstrated, for example, the ability to cope with geographical distributions and the flexibility to respond to daily variations in demand.     

An evaluation of the tandem configuration automated guided vehicle system

The performance of a tandem automated guided vehicle (AGV) system is compared with that of conventional AGV track systems. In the tandem system the track is divided into non-overlapping, single-vehicle closed loops. Using simulation it is shown that, because of trips requiring delivery across loops, the tandem system has a higher expected travel time per load and thus a greater average time in system. When the loads are delivered within the original loop only, the tandem system has a lower average time in system than in conventional systems, although the difference is modest. Track layout appears to influence the average time in system much more than docs the dispatching rule invoked. The success of the tandem system is highly dependent on approximately even AGV utilization, which may be difficult to obtain in practice.     

灌装包装生产线效率评估系统的设计

针对国内一部分食品企业灌装包装生产线难以量化生产线效率的现状,提出了一套切实有效的生产线效率评估系统。通过评估设备速度V-曲线,以现代信息化技术为基础,提取出关键设备的停机记录,其中包含了停机的起始时间、终止时间、时长、分类、机台和原因等几大关键项内容,然后对内外部因素造成的各类时间损失进行准确量化评估,从而构建以总资产利用率、线毛产出率、设备综合利用率和线效率4项指标为衡量标准的一套生产线效率评估系统。本系统实现了灌装包装生产线数字化过程,整体透视出企业的综合管理能力、部门之间的协调配合能力、设备运行能力和故障处理能力。基于此数字化效率评估系统,可以分析停机成因,识别出影响生产线效率的核心要素,通过针对性的优化手段,达到提高效率的目的,实现降低成本和提高利润的业务目标。     

基于可信性理论的Mean-CVaR投资组合优化

选取CVaR作为风险度量指标,在可信性理论的基础上构建Mean-CVaR投资组合模型,采用Markov过程预测作为模糊变量的预期投资收益率,并设计基于模糊模拟和遗传算法的混合智能算法以求解;选取上证50成份股2013—2014年的日度历史交易数据,将该模型应用到中国证券市场,结果发现该投资组合模型与中国证券市场的环境具有一定的适应性,能够为投资者的投资决策提供依据。     

基于智能Agent技术的个性化数字图书馆系统模型

根据智能Agent的特性将其应用于智能信息检索,并应用于图书管理系统。针对个性化数字图书馆的具体需求,对原图书馆系统进行了功能扩充。     

Exposure to Traffic and Risk of Hospitalization Due to Injuries

Research on the risk of motor vehicle injuries and their relationship with the amount of travel has been only partially analyzed. The few individual exposure assessments are related to very specific subsets of the driving and traveling populations. This study analyzes the relationship between kilometers traveled and hospitalization due to motor vehicle injuries. Twelve thousand three hundred and sixty nine Spanish university graduates from the Seguimiento Universidad de Navarra multipurpose cohort study were evaluated. They had not been hospitalized due to motor vehicle injuries at baseline and were followed up to eight years. Biannual questionnaires allowed for self‐reporting of kilometers traveled in motor vehicles, together with incidence of hospitalization. Covariates in the Cox regression models included age and gender and baseline use of safety belt while driving, driving a vehicle with driver‐side airbag, driving a motorcycle, and drinking and driving. There were 49,766 participant‐years with an average yearly travel of 7,828 km per person‐year. Thirty‐six subjects reported a first hospitalization event during this time. The adjusted hazard ratio per additional kilometer traveled was 1.00005 (95% confidence interval 1.000013 to 1.000086). Even the smallest of reductions in the amount of kilometers traveled (from an average of 3,250 km per year to 1,000) has a statistically significant protective effect on the likelihood of sustaining hospitalization due to motor vehicle injury (aHR 0.9, 95% CI 0.78 to 0.98). In light of current policies aimed to reduce motorized traffic due to environmental concerns, it may be appropriate to consider the additional health benefit related to reductions in injuries.