Backward capacity-filtering for electronics Fabs

In electronics Fabs such as semiconductor Fabs and liquid crystal display (LCD) Fabs, which are capital-intensive, finite-capacity planning is critical to achieving full-capacity production and on-time production. However, existing finite-capacity planning methods do not adequately reflect the actual capacity profiles of an electronics Fab. In this paper, we propose a new Fab-level capacity-filtering procedure to generate finite-capacity plan: a backward capacity-filtering procedure for generating finite-capacity release plan. When developing the Fab-level filtering procedures, we use stage-level capacity-filtering algorithms as a key building block. In this study, we enhance the previous capacity-filtering algorithms proposed by one of the authors in order to facilitate the practical requirements of electronics Fabs. We apply the proposed capacity-filtering method to a modern LCD–TFT Fab in Korea. Performance analyses demonstrate that the proposed method is superior to existing methods.     

陕西省人口城市化Logistic模型及其应用——基于结构突变的理论分析

城市化是走向现代化的必经阶段,准确的城市化预测是进行经济、社会建设的基础。在结构突变理论的基础上,用Logistic模型对1978～2010年陕西城市化率进行分析。结论表明：1999年为陕西城市化率的结构突变点,说明城市化率的增长受到外部冲击的影响,分段以后的拟合优度明显提高。分别以阈值0.8和1进行分阶段构建的Logistic拟合精度明显提高,但阈值为1的精度更高,说明陕西城市化还在加速,预测表明到2030年陕西城市化率将达到70%左右。总体而言,从1984年到2030年为陕西省城市化的加速阶段。城市化加速阶段的住房问题、人口膨胀、环境恶化、交通拥挤、社会治安问题必须妥善解决。     

城市化与中国社会转型

2011年底，广州市第十次党代会提出走有广州特色的新型城市化发展道路的战略，相信这一战略会在今后相当长一段时间成为广州市各项事业的总指引、总目标。事实上，城市化是一个内涵非常丰富的概念，而城市化的历史也与人类的文明历史相伴，在某种意义上可以说人类的文明历史就是城市化的历史。如果说中国自古是一个农业国家，那么城市化也可看做是中国社会转型的具体体现。只有将城市化置于中国社会转型的视角下观察，才可以对中国的城市化运动有准确的把握。     

Bayesian adaptive dose‐escalation designs for simultaneously estimating the optimal and maximum safe dose based on safety and efficacy

The main purpose of dose‐escalation trials is to identify the dose(s) that is/are safe and efficacious for further investigations in later studies. In this paper, we introduce dose‐escalation designs that incorporate both the dose‐limiting events and dose‐limiting toxicities (DLTs) and indicative responses of efficacy into the procedure. A flexible nonparametric model is used for modelling the continuous efficacy responses while a logistic model is used for the binary DLTs. Escalation decisions are based on the combination of the probabilities of DLTs and expected efficacy through a gain function. On the basis of this setup, we then introduce 2 types of Bayesian adaptive dose‐escalation strategies. The first type of procedures, called “single objective,” aims to identify and recommend a single dose, either the maximum tolerated dose, the highest dose that is considered as safe, or the optimal dose, a safe dose that gives optimum benefit risk. The second type, called “dual objective,” aims to jointly estimate both the maximum tolerated dose and the optimal dose accurately. The recommended doses obtained under these dose‐escalation procedures provide information about the safety and efficacy profile of the novel drug to facilitate later studies. We evaluate different strategies via simulations based on an example constructed from a real trial on patients with type 2 diabetes, and the use of stopping rules is assessed. We find that the nonparametric model estimates the efficacy responses well for different underlying true shapes. The dual‐objective designs give better results in terms of identifying the 2 real target doses compared to the single‐objective designs.     

Oiling the wheels? Flexible labour markets and the migration industry

ABSTRACT

The growing commercialisation of migration, often through a multiplicity of labour market intermediaries, is an issue of increasing academic interest. We seek to contribute to an emerging research agenda on the migration industries by exploring how one of the key actors that constitutes it, recruitment agencies, sits at the nexus between flexible labour market structures and migrant labour. Interviews with U.K. labour providers and low-wage employers form the evidence base for an analysis of the strategies developed by recruiters to derive commercial gain from connecting the so-called ‘supply’ and ‘demand’ sides of the flexible international labour market. We seek to contribute to understandings of the analytical categories within migration systems by illustrating how the migration industry interacts with other key stakeholders to structure international migration.     

现代服务业是否有助于推动城镇化？——基于产城融合视角的PVAR模型分析

目前中国的城镇化现象难以完全用"工业决定论"来解释,服务业在城镇化过程中扮演着越来越重要的角色。流通业和旅游业作为现代服务业的主导产业,具有较强的集聚功能和就业吸纳能力,还具有较强的城市经济功能和服务功能,成为城镇产业体系和公共服务体系的必要组成部分。首先对服务业与城镇化之间的互动作用机制进行理论分析;然后建立PVAR模型,通过格兰杰因果检验、脉冲响应分析和方差分解分析变量之间的因果关系;最后构建耦合协调评价模型,从全国、区域及行业层面对系统间的相互作用强度与协调发展水平进行实证分析,并归纳协调发展模式。研究发现：以流通业、旅游业为主导产业的现代服务业与城镇化之间存在因果关系和稳定均衡关系,能够推动城镇化发展;早期由工业化推动的城镇化水平高于流通业和旅游业,后期两者逐渐缩减与城镇化的差距,系统间的耦合协调发展水平不断提升,但存在区域差异;耦合协调发展模式归纳为演化趋同型和发展同步型,发展同步型组合内各系统发展水平相对一致,有助于快速提升耦合协调发展水平。     

中国经济结构再平衡与长期增长

在经济新常态下,中国经济由原来的高速增长转向追求中高速和质量型的增长,这是中国经济转型与产业升级的必然选择。解决中国经济突出的结构性问题,实现经济结构转型与产业升级,也就是经济结构再平衡,使经济增长由主要依赖规模扩张转向主要依赖技术进步,是中国经济长期可持续增长的保障,也是中国多年来致力的发展与改革目标,是一项需要长期努力的任务。经济结构再平衡有赖于经济长期发展的支持;经济长期发展和增长周期延长,才能为经济转型与升级的结构再平衡提供时间、空间的回旋。我们要紧紧抓住国家新型城镇化战略和“一带一路”战略的实施契机,按照“四个全面”战略布局的要求,支持民营企业参与中国经济的空间结构再平衡,以全面依法治国推进中国经济结构的再平衡和长期的经济增长。     

城镇化背景下农产品物流发展模式研究

农产品物流作为物流业的一个分支,在促进农业产业化和城镇化发展方面发挥着重要作用。对原有农产品物流发展模式进行分析,构建四种农产品物流发展模式。从城镇化水平的角度出发,以辽宁省为例,运用主成分聚类分析法对辽宁省14个地区的城镇化水平进行评价及分类,并针对不同城镇化水平的地区进行农产品物流发展模式的选择,旨在为促进农产品物流的一体化发展提供借鉴。     

新型城镇化视阈中衡阳旅游景点语言文字规范调查

文章在新型城镇化视阈中探讨了衡阳旅游景点语言文字规范问题。主要内容是:衡阳旅游资源及旅游目的地特点;衡阳旅游景点语言文字规范及推广现状;衡阳旅游景点语言文字规范及推广的建议及对策。核心观点是:新型城镇化的核心和灵魂是人的城镇化,语言文字规范与否是新型城镇化进程中人的城镇化的重要外显标志。对当前我国正处于新型城镇化快速发展的关键时期具有时代意义和现实价值。     

中国城市化进程效率估算及影响因素分析

本文基于2008—2012年中国285个地级市的数据,运用双边随机前沿模型测算了中国城市化进程的前沿水平以及实际水平相对前沿水平的偏离程度。结果发现,下偏效应大于上偏效应,即中国城市化进程整体表现为滞后,并且发现投资作用和政府作用在影响城市化进程中的表现为负向,另外城市化进程也表现出地区间的不平衡。最后根据本文的发现,提出相应的建议。