产业生态视角下的新能源汽车企业商业模式的构建

从产业生态系统视角研究新能源汽车企业商业模式创新演化过程。以长安汽车为例,研究新能源汽车企业商业模式创新特点、驱动因素和演变过程,利用扎根理论编码演绎新能源汽车企业商业模式创新模型。长安汽车创新生态系统由核心企业系统、政府环境系统、合作开发系统、智能创新系统、智慧营销系统这5 个部分构成。根据价值创造、价值网络、价值实现这3 个阶段的分析,提出新能源汽车企业商业模式创新的“愿望Desire”模型,即设界（Defi ne）- 开拓（Extension）- 强化（Strengthen） - 迭代（Iteration） - 重构（Restructure）- 觅新（Explore）模型,通过该模型刻画新能源汽车企业商业模式的演变机制。研究结论为新能源汽车企业的商业模式创新提供了可借鉴的案例。     

A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior

Developments in battery electric vehicles (BEVs) have received more and more attentions in the last decades due to alleviating carbon emissions and energy crisis. Consequently, how to rank alternative BEVs to assist consumers make better purchasing decisions is a worthy research study. However, there are still some defects in the existing studies for ranking of BEVs: 1) the evaluation index system of BEVs is not comprehensive; 2) the determination of criteria weights cannot be well applied to the actual purchase scenarios; and 3) the psychological behavior of consumers is ignored. To address those shortcomings, this paper proposes a decision support model to assist with consumers to buy BEVs. First, a systematic evaluation criteria system of BEVs including quantitative and qualitative indicators from parameter configurations and online reviews is constructed. Then, a weight algorithm considering consumer learning is proposed to determine the criteria weights. Furthermore, a decision support process considering consumers' regret avoidance behavior is proposed. Finally, an actual BEV purchase case is given to illustrate the practicability of the decision support model. This can be seen in case studies the proposed support model can be well applied to consumers with different regret avoidance behaviours.     

Inductive research in last-mile delivery routing: Introducing the Re-Gifting heuristic

The last-mile problem presents a daunting challenge for many logistics service providers, especially some 7000 small, localized operations for whom the cost of complex software solutions is often prohibitive. As a result, last-mile dispatchers rely on simple heuristics to ensure adequate customer service at an acceptable cost. This research effort extends prior qualitative work by developing and testing a simple vehicle routing heuristic, based on behaviors observed in practice, that prioritizes customer service over cost against other simple vehicle routing heuristics across a variety of environments using simulation. The results support the inclusion of a customer service focus in vehicle routing and the addition of such heuristics to existing algorithm portfolios, specifically in urban areas with well-developed highway systems.     

关于直流电机环火事故预防及处理

某发电企业曾发生过发电机励磁机环火的事故,本文阐述了直流电机环火事故的预防和解决直流电机环火事故的措施。     

Is the environment‐friendly factor attractive to customers when purchasing electric vehicles? Evidence from South Korea

In a bid to reduce greenhouse gas emissions, several countries worldwide are implementing policies to promote electric vehicles (EVs). However, contrary to expectations, the diffusion speed of EVs has been rather slow in South Korea. This study analyzes consumer preferences for the technological and environmental attributes of EVs and derives policy and environmental implications to promote market diffusion of EVs in South Korea. We conduct a choice‐based conjoint survey of 1,008 consumers in South Korea and estimate the consumer utility function using a mixed logit model considering consumer heterogeneity. Based on the consumer utility function, we analyze consumers' willingness‐to‐pay (WTP) for EV attributes such as driving range, charging method, charging time, autonomous driving function, carbon dioxide (CO₂) reduction rate, and purchase price. The results indicate that the current low acceptance of EVs is due to their relatively high price and lack of a battery charging technology that satisfies consumers' expectations of the charging method and time. One interesting finding is that Korean consumers have a relatively higher WTP for the CO₂ reduction rate of EVs than consumers in other countries; however, they do not consider CO₂ reduction over other technological attributes when choosing EVs. This implies that the rate of CO₂ reduction of EVs is not an important factor for South Korean consumers when buying EVs. We also calculate the effect of CO₂ reduction with the market penetration of EVs and find that CO₂ reduction through the diffusion of EVs depends on the country's electricity generation mix.     

基于主成分分析的应急保障军队车辆器材供应商选择

分析了突发事件中军队车辆器材应急保障的特点,在此基础上建立了军队车辆器材供应商评价的指标体系,并将主成分分析应用于供应商的评价选择。根据应急保障车辆器材供应商的实际指标数据进行了实例计算,并对各供应商进行综合评价,验证了主成分分析在应急保障车辆器材供应商选择上应用的可行性与准确性。     

基于计算机模拟的交通灯时间控制问题

文章主要讨论城市交通灯的开启时间间隔的问题,在一些假设的基础之上,把城市交通灯周期时间控制问题进行简化,目的是使得路口的日平均车流量最大。根据实际情况,给出车辆行驶的一套规则,利用计算机仿真技术进行模拟,得到最优交通灯的间隔时间。     

以基础设施建设推动我国城市交通的发展

文章从城市道路建设和城市交通工具的发展两个方面描述了我国城市交通发展的现状,分析了目前我国城市交通发展所面临的问题。同时提出了加强以交通工具建设、道路建设和政策法规建设为主的城市交通基础设施建设,来缓解我国城市交通中所面临的问题。最后说明了加强基础设施建设在我国城市发展过程中的重要意义。     

领先顾客的消费者创新性对新能源汽车采用意愿的影响

将领先顾客的消费者创新性分为3个维度——一般创新性、特定创新性和替代创新性。界定了3个维度的具体内涵,并将参照群体示范效应作为消费者创新性的3个维度与新能源汽车采用意愿之间的调节变量。结合技术接受模型,从内外部动机的视角研究消费者创新性对新能源汽车采用意愿的影响机制。在此基础上,构建新能源汽车采用意愿的结构方程模型,对研究假设进行验证。实证结果显示:消费者创新性的3个维度以及感知有用性、感知风险对新能源汽车采用意愿具有不同程度的显著影响;参照群体示范效应有显著的调节作用;感知易用性对新能源汽车采用意愿的影响不显著。     

以均衡为目标的车辆调度问题研究

针对物流配送企业私人承包车辆以及均衡配送线路工作量等新的物流管理理念,提出新的车辆调度模型,将车辆调度问题（VRP）转换为车辆选型和车辆路径优化两个子问题,设计Ak-FirstFit混合算法解决车辆选型问题,运用遗传算法解决车辆路径问题。基于JAVA编写计算机程序,运行结果表明该两阶段算法能够在有效时间内得到满意解。与基于传统物流管理理念的模型进行比较,得出新的两阶段模型能充分体现兼顾效率与公平思想的结论,其理念在物流配送企业中具有相当的借鉴性和推广前景。