冷链物流“最后一公里”快速配送方法研究

冷链物流“最后一公里”的品质配送，对于实现全程冷链以及提升企业形象有着重要的意义。为了实现冷链物流的快速配送，本文提出了一种基于复杂网络的“最后一公里”物流配送区域划分方法。该方法构建了现实生活中物流配送的复杂网络模型，然后基于两阶段的LinkRank社区发现算法实现了物流配送区域的划分，最后建立了一套完善的物流配送体系。该体系明确了配送中转站以及配送点所覆盖的区域，这些区域所包含的社区物流关系紧密、易于配送。本文通过案例研究，验证了方法的有效性，最终方案可有效提高“最后一公里”的配送效率和降低物流成本。     

An intelligent service matching method for mechanical equipment condition monitoring using the fibre Bragg grating sensor network

Due to the advantages of being able to function under harsh environmental conditions and serving as a distributed condition information source in a networked monitoring system, the fibre Bragg grating (FBG) sensor network has attracted considerable attention for equipment online condition monitoring. To provide an overall conditional view of the mechanical equipment operation, a networked service-oriented condition monitoring framework based on FBG sensing is proposed, together with an intelligent matching method for supporting monitoring service management. In the novel framework, three classes of progressive service matching approaches, including service-chain knowledge database service matching, multi-objective constrained service matching and workflow-driven human-interactive service matching, are developed and integrated with an enhanced particle swarm optimisation (PSO) algorithm as well as a workflow-driven mechanism. Moreover, the manufacturing domain ontology, FBG sensor network structure and monitoring object are considered to facilitate the automatic matching of condition monitoring services to overcome the limitations of traditional service processing methods. The experimental results demonstrate that FBG monitoring services can be selected intelligently, and the developed condition monitoring system can be re-built rapidly as new equipment joins the framework. The effectiveness of the service matching method is also verified by implementing a prototype system together with its performance analysis.     

On the multi-dimensionality and sampling of air transport networks

Complex network theory is a framework increasingly used in the study of air transport networks, thanks to its ability to describe the structures created by networks of flights, and their influence in dynamical processes such as delay propagation. While many works consider only a fraction of the network, created by major airports or airlines, for example, it is not clear if and how such sampling process bias the observed structures and processes. In this contribution, we tackle this problem by studying how some observed topological metrics depend on the way the network is reconstructed, i.e. on the rules used to sample nodes and connections. Both structural and simple dynamical properties are considered, for eight major air networks and different source datasets. Results indicate that using a subset of airports strongly distorts our perception of the network, even when just small ones are discarded; at the same time, considering a subset of airlines yields a better and more stable representation. This allows us to provide some general guidelines on the way airports and connections should be sampled.     

A Pathway Forwards for the Social Capital Metaphor

A major topic in economics is the analysis of a broad class of phenomena associated with interpersonal relationships, a topic that originally grew from theories of “social capital.” While the concept has been instrumental in bringing increased attention to social effects on economic outcomes, it has increasingly been replaced with approaches that consider instead networks and discrete interactions rather than aggregate measures of social capital. This has been an analytical improvement, but a great deal of work remains to bring empirical validity and relevancy to social network analysis. This paper presents two important approaches for achieving this, statistical analysis and agent-based modeling, and discusses their benefits, limitations, and complementary nature. Rather than waiting for either approach to achieve an ambiguous quality of maturity, integrating statistical analysis with simulation models of networks must begin now to push the frontiers of social network analysis forward.     

To post or not to post: social media sharing and sporting event performance

Social networks are becoming increasingly important for consumers, especially in the context of sport, where the service experience is highly intense. Few studies have combined subjective event performance variables and social network variables to analyze social network content sharing by sports practitioners. This article investigates the use of social networks in relation to sporting events. An empirical study examined the role of social network variables and sporting event performance variables in social media use. The sample consisted of 410 triathletes (72.2% male) aged between 18 and 66 years (mean 37.03 ± 8.62). Four analyses were performed using fuzzy‐set qualitative comparative analysis to examine the causes of sharing comments through social media, sharing photos and videos on social media, participant satisfaction, and word‐of‐mouth (WOM). The event's general image was a necessary condition in all cases. The combination of participants’ satisfaction and positive event image and the combination of social network use and positive event image lead to social network content sharing by athletes. The combination of positive event image and participant satisfaction leads to a positive WOM.     

Information sharing as a safeguard against the opportunistic behavior of South African Karoo Lamb farmers

Misconduct in global meat supply chains are omnipresent and even more so in differentiated chains where credence attributes such as origin and taste are used to differentiate the product. By definition, these attributes signal asymmetric information which implies that in the presence of bounded rational individuals with conflicting interests, misconduct in the form of opportunistic behavior is bound to prevail. Increased information exchange through farmer networks is, however, expected to reduce opportunistic behavior. In the case of a differentiated meat product, such as Karoo Lamb, the article studies the farmer‐abattoir transaction with the purpose of recommending strategies that can be implemented to reduce the farmer's tendency to behave opportunistically. The article employs the PLS approach to SEM and reveals a significant negative relationship between information shared and opportunistic behavior. The results indicate significant positive relationships between trust in the abattoir and information shared as well as between farmer networks and information shared. These results are indicative of the support provided to the information shared construct by higher levels of trust between farmers and abattoirs and established farmer networks. It is, therefore, recommended that differentiated meat supply chains, through their various associations, concentrate their efforts to promote information sharing by building stronger, trust centered relationships and by supporting farmer networks.     

网络安全综合评价方法的应用研究

文章分析了计算机网络运行存在的风险;并从分段技术、加密技术、防火墙技术和抗病毒技术方面探讨了如何防范安全风险。