Keep Your Friends Close? Supply Chain Design and Disruption Risk

In this article, we evaluate the relationship between supply chain design decisions and supply chain disruption risk. We explore two supply chain design strategies: (i) the dispersion of supply chain partners to reduce supply chain disruption risk versus (ii) the co‐location of supply chain partners to reduce supply chain disruption risk. In addition, we assess supply chain disruption risk from three perspectives: the inbound material flow from the supplier (supply side), the internal production processes (internal), and the outbound material flow to the customer (customer side) as a disruption can occur at any of these locations. We measure disruption risk in terms of stoppages in flows, reductions in flow, close calls (disruptions that were prevented at the last minute), disruption duration (time until normal operation flow was restored), and the spread of disruptions all the way through the supply chain. We use seemingly unrelated regression (SUR) to analyze our data, finding that lead times, especially supply side lead times, are significantly associated with higher levels of supply chain disruption risk. We find co‐location with suppliers appears to have beneficial effects to the reduction of disruption duration, and, overall supply side factors have a higher impact when it comes to supply chain disruption risk than comparable customer side factors.     

A visualization method measuring the performance of biomarkers for guiding treatment decisions

Biomarkers that predict efficacy and safety for a given drug therapy become increasingly important for treatment strategy and drug evaluation in personalized medicine. Methodology for appropriately identifying and validating such biomarkers is critically needed, although it is very challenging to develop, especially in trials of terminal diseases with survival endpoints. The marker‐by‐treatment predictiveness curve serves this need by visualizing the treatment effect on survival as a function of biomarker for each treatment. In this article, we propose the weighted predictiveness curve (WPC). Based on the nature of the data, it generates predictiveness curves by utilizing either parametric or nonparametric approaches. Especially for nonparametric predictiveness curves, by incorporating local assessment techniques, it requires minimum model assumptions and provides great flexibility to visualize the marker‐by‐treatment relationship. WPC can be used to compare biomarkers and identify the one with the highest potential impact. Equally important, by simultaneously viewing several treatment‐specific predictiveness curves across the biomarker range, WPC can also guide the biomarker‐based treatment regimens. Simulations representing various scenarios are employed to evaluate the performance of WPC. Application on a well‐known liver cirrhosis trial sheds new light on the data and leads to discovery of novel patterns of treatment biomarker interactions. Copyright © 2015 John Wiley & Sons, Ltd.     

Collective versus Individual Effects in Survival Analysis of Multiple Failures

In survival analysis, we sometimes encounter data with multiple censored outcomes. Under certain scenarios, partial or even all covariates have ‘similar’ relative risks on the multiple outcomes in the Cox regression analysis. The similarity in covariate effects can be quantified using the proportionality of regression coefficients. Identifying the proportionality structure, or equivalently whether covariates have individual or collective effects, may have important scientific implications. In addition, it can lead to a smaller set of unknown parameters, which in turn results in more accurate estimation. In this article, we develop a novel approach for identifying the proportionality structure. Simulation shows the satisfactory performance of the proposed approach and its advantage over estimation under no assumed structure. We analyse three datasets to demonstrate the practical application of the proposed approach.     

新冠肺炎疫情突发期政策制定的特征分析与效果评价 ——基于江苏省疾病预防控制中心的田野观察

文章聚焦政策本身,采用在江苏省疾病预防控制中心进行田野观察的研究方法,收集新型冠状病毒肺炎（简称新冠肺炎）疫情突发期的政策并进行文本分析,主要讨论政策文本发布时间的分布态势、发布单位、发布形式和政策内容4个方面。研究发现,在新冠肺炎疫情突发期（2020年1月15日至1月31日）国家级和省级指导性文件数量锐增。以江苏省为例,省级政策发文单位单一、文本类型多为通知类,起到了应对突发公共卫生事件时的及时反馈、迅速应急以及布置指导的作用。政策发布主体联防联控的及时应对性以及对政策文本的长效性考虑上尚有欠缺。总结政策制定的规律、原则以及经验,提出公共卫生事件突发期的政策观念应从单一权威主义走向多元协作,政策导向应从“战”时应急转向“平战结合”,政策价值应从“短期”应急转向“常态化”指导。     

购物中心的商户关系研究

本文基于共生理论尝试性的对购物中心内商户间的相互关系进行了研究,论文选取了竞争、寄生与互惠这三种主要关系进行分析,提出以服饰类和珠宝类商户为代表的同质商户存在着同业聚集的经济效应,这时的同业竞争相对经济效应而言属于次要地位;主力店的选择和自身所处的位置决定了寄生关系的存在与作用大小,一部分非主力店能够凭借自身的吸引力获得客流;在异质商户之间,消耗性生活便利品与超市具有高度互补性,另外百货店与衣服鞋类专卖店也具有高互补性;但是消耗性生活用品与百货店,专卖店与超市的互补性都较低。     

城市滨水旧住区问题分析及对策研究——以上海市长风新村街道沿河旧住区为例

一、引言 进入21世纪以来,城市滨水地区由于其悠久的发展历史、丰厚的文化底蕴和重要的城市区位,成为政府、公众和开发商关注的焦点,因此,滨水地带的复兴成为中国城市发展的中心议题之一.     

Labor force participation and juvenile delinquency in Taiwan: a time series analysis

This study examines the null hypothesis of Granger no-causality between labor force participation (LFP) and juvenile delinquency in Taiwan. In order to explore this issue more thoroughly, this study adopts the approach proposed by Toda and Yamamoto (1995, Journal of Econometrics, 66(1–2), 225–250). It uses official time-series data provided by the Government of Taiwan. After estimating both a four- and five-variable VAR system, one that substitutes both male and female LFP rates for the aggregate LFP rate, the primary findings of this study reveal the following: The higher the past juvenile crime rate, the lower the future aggregate and female LFP rate will be. In addition, the higher the past male LFP rate, the higher the future juvenile crime rate will be. These findings are quite robust in terms of different lag-length structures.

构建保险分支机构内控制度的对策研究

保险分支机构内控制度是保险监管和保险业风险管理的重要微观基础,当前我国保险分支机构内部控制制度建设普遍滞后于保险行业的发展,落后于保险监管和行业风险管理要求,存在一系列突出矛盾和问题。为此,一要强化分支机构改革和完善内控的内部动力,严格执行监管部门制定的制度建设指引;二要通过保险公司、监管机构、行业协会及其他相关部门给分支机构施加更强的外部压力,二者共同作用以进一步促进保险分支机构加快完善内控制度,提高保险分支机构及其所属公司管理和防范经营风险的能力,最终达到夯实保险业风险管理基础的根本目标。     

A SIMULATION ANALYSIS OF THE JAPANESE JUST-IN-TIME TECHNIQUE (WITH KANBANS) FOR A MULTILINE,MULTISTAGE PRODUCTION SYSTEM

The Japanese “just-in-time with kanban” technique reduces in-process inventory to absolute minimal levels, in concert with the Japanese belief that inventory is an unnecessary evil. Due to the success of Japanese firms that employ this type of system, American firms would like to import this technique and emulate Japanese successes. But this Japanese success may be attributable not only to the just-in-time with kanban technique but also to the production environment in which the technique is employed. This paper simulates the just-in-time with kanban technique for a multiline, multistage production system in order to determine its adaptability to an American production environment that might include such characteristics as variable processing times, variable master production scheduling, and imbalances between production stages. The results have practical implications for those firms considering adoption of the Japanese technique.