论个体家庭在原始社会末期的地位

氏族在原始社会的一定阶段(普那路亚家庭及对偶制家庭时期)居于基础地位,但并不是整个原始社会的基本单位。在原始社会末期,以父权制家庭为代表的个体家庭已经居于社会的主导地位。这可以从对各种原始家庭形式的分析中看出来,马克思在19世纪70年代以前的研究及恩格斯撰写的《家庭、私有制和国家的起源》中也多有论述。实事求是地分析以父权制家庭为代表的个体家庭在原始社会末期的地位,对于了解私有制的产生原因、个体家庭在一定历史阶段的积极作用以及坚定建设中国特色社会主义的信念,具有重要意义。     

刘宋儒学复兴与玄风淡化

刘宋儒学较之东晋有了较大恢复,社会地位上升,对文人及其创作的影响逐渐加强,促使典丽风格在文学中成为主导,纠正了玄言文风不讲文采的缺陷。而玄、儒两种思想的交替,使当时的文人在思想上出现不适应,主体观念重新得到重视,文学抒情特质得到恢复,从而改变了玄言文风枯燥之病。在儒学的帮助下,刘宋文学摆脱玄风的笼罩,具有了自己的特征。     

掺杂Co~(2 )离子水滑石〔CdxMg_(6-x)Al_2(OH)_(16)〕~(2 )〕〔S·2H_2O〕~(2-)热稳定性研究

用中温水热合成方法,合成了掺杂Co2 离子水滑石[CdxMg_6xAl_2(OH)_16]~2 [S·2H_2O]~2-。本文用XRD、GTA－TG等手段,讨论了它的热稳定性。     

基本医疗保险中共谋问题的研究与防范

本文首先讨论了在我国当前实行的基本医疗保险体系中患者和医疗机构为了共同的利益,利用信息优势,形成共谋来欺骗医疗保险机构的可能性。然后在建立基本医疗保险体系的简单模型的基础上,分析了医患共谋产生的情况,详细讨论了有效防止医患共谋的保险合同的设计问题,并且得出了此类保险合同所具有的一系列基本特性。     

基于粗糙集与主成分分析的属性约简的启发式算法研究

信息系统的属性约简反映了一个决策表的本质信息,为信息系统的数据挖掘奠定的基础。生成一个决策表的所有约简或计算出最佳(定义为属性数目最少)的约简都是NP难问题。目前已有的基于粗糙集的属性约简算法由于计算复杂较高,而不适用大规模数据。本文探讨了一种基于区分矩阵和主成分分析的算法,该算法利用属性在区分矩阵中频率及属性贡献率做为启发规则,寻找最小约简,并在海关通关风险评估系统中得到良好的应用。     

客户忠诚度提升决策研究

首先阐述了客户忠诚度对企业的重要价值,然后提出了几种提升客户忠诚的方法,在此基础上运用Petri网建立了客户忠诚的提升模型,最后通过一演算实例说明了模型的适用性.     

基于属性水平的品牌来源国作用机制研究——信息处理的视角

制造和质量控制技术在全球范围的转移,导致制造国影响减弱,这对传统原产地研究提出了新的挑战。本研究在区分品牌来源国和产品制造国的基础上,通过把产品属性划分为搜索属性和信任属性,探索品牌来源国如何在属性评价层面上影响消费者。本研究发现,品牌来源国主要在信任属性上影响消费者对产品的评价。不仅如此,与新手型消费者相比,专家型消费者评价信任属性时更多地受到品牌来源国刻板印象的影响。     

A best on-line algorithm for the single machine parallel-batch scheduling with restricted delivery times

We consider a single batch machine on-line scheduling problem with delivery times. In this paper on-line means that jobs arrive over time and the characteristics of jobs are unknown until their arrival times. Once the processing of a job is completed it is delivered to the destination. The objective is to minimize the time by which all jobs have been delivered. For each job J _j , its processing time and delivery time are denoted by p _j and q _j , respectively. We consider two restricted models: (1) the jobs have small delivery times, i.e., for each job J _j , q _j ≤p _j ; (2) the jobs have agreeable processing and delivery times, i.e., for any two jobs J _i and J _j , p _i >p _j implies q _i ≥q _j . We provide an on-line algorithm with competitive ratio for both problems, and the results are the best possible. Project supported by NSFC (10671183).     

基于ACC支付模式的供应链金融模型研究

在零售商存在资金不足和顾客需求随机情况下,以报童模型为基础,针对变质品构建了供应链金融问题和ACC支付模式（提前支付Advance、现金支付Cash和信用支付Credit）相结合的零售商订货模型,即零售商与供应商、融资机构合作条件下的模型。研究表明,零售商会随着最优订货批量和最低期望成本的增加和降低趋势,进而调整订货量,从而规避供大于求的风险,最终降低总的期望成本。同时供应商可以适当调整支付比例,让零售商来分担坏账和商品变质风险。     

Using Lean Six Sigma to improve mobile order fulfilment process in a telecom service sector

This study proposes and follows a specific and systematic framework for implementing Lean Six Sigma (LSS) methodology in a telecom company in order to improve customer satisfaction by minimizing the company’s response time to customer requirements. The goal of this study was achieved by utilizing several LSS tools under five phases of the DMAIC methodology. Unlike previous studies in the telecom sector that used only qualitative method, in this study, both qualitative and quantitative methods were utilized to draw meaningful conclusions. As a result of the implementation of the LSS methodology, the average order fulfilment lead time for sales orders (SO) and value-added service (VAS) orders was reduced from 10.3 to 5.9 days and from 1.5 to 0.5 days, respectively. The reduction in lead time resulted in an increase in the sigma level for SO and VAS orders from 0.44 to 1.26 and from 0.73 to 2.66, respectively. These improvements were expected to lead to a financial benefit in savings of over $600,000 per year in operational costs, enhancements to customer experience and an increase in revenue generating opportunities. Moreover, this article enriches the existing literature on the application of LSS concept in the service industry, and helps the company to speed up the response to customer requirements.