基于QR码应用的电子回单流程设计

有效的订单回单管理可以提高企业运作效率、加快企业资金周转.当前,很多企业都面临着订单回单返回慢、收不齐的问题,在已有二维条码技术的基础上,结合智能手机的特点,提出了基于QR码应用的电子回单流程设计,并作了成本分析和风险评价.     

基于外包的流程型生产订单选择问题研究

文章研究了流程型制造企业在生产能力有限、订单过剩情况下的订单选择问题。由于对订单的拒绝会影响自身的声誉,企业可以考虑将订单进行外包。首先将外包、声誉损失、订单选择等结合起来,构建了一个二次0-1整数规划模型,在企业利润最大化下对订单进行选择性的接受。然后,利用LINGO对模型进行检验,结果表明,该模型优于经典的订单选择模型。最后在不同订单排序方法下对模型再次进行验证,分析得出订单最大化利润排序是适用于本模型的最优排序方法。     

警惕利用银行卡行骗

窃取银行存款的手段之一是在取款机上造假.2003年8月13日盗取储户资金的惯犯徐正国被捕.在此之前,人们绝对想不到通过取款机存款后,有人会在垃圾桶中检出存款回单,被人以400元一张的高价收购,然后从银行盗取现金.不过花几百元买一张存款回单,对于买主来说,实在微不足道.窃取回单上持卡人的账户后,获取非法财物远远超出捡拾回单者的想象.这是因为取款机犯罪的条件是盗窃者必须获得持卡人的密码和账号,然后再伪造假卡,从机上取钱用取款机犯罪,要取得用户密码和账号,然后伪造假卡.犯罪分子可"全程转播"用户在输入密码时的手形,以"破译"密码.银行卡账户则不容易被摄像装置偷窥.但在取款机打印出的存取款回单上都有账号.很多用户在交易完之后,往往将回单随手扔入垃圾桶,使罪犯得逞.     

订单型企业采购策略研究

通过分析订单型企业的特点,指出订单型企业采购管理的难点,提出了提高管理效率的采购策略,并以某订单型企业为例探讨了这些策略的实施方法和优势。     

企业产品订单项目化管理研究

订单是生产类企业工作的开始,是内部企业物流的载体,订单管理的成效影响着整个企业的作业过程。传统的生产企业订单管理主要是基于供应链的管理,导致订单落实过程中缺乏系统的计划、管理与控制,直接影响企业的经济效益和生产经营的正常运行。     

物流企业多订单处理优化研究

订单处理是物流企业主要的日常事务之一,物流企业工作效率的高低和订单的处理方式存在密切的关系。现实中,大多数的订单往往都是同时到达,而处理订单却需要逐一进行,因此企业需要一种科学的方法解决多个订单在处理时的排序问题。文章旨在对传统订单处理的排序方法进行改进、优化,通过建模的方式将绩效收益考虑进排序的过程中,提出一种新的、较全面的多订单处理排序方法,希望可以为遇到此类问题的企业提供参考。     

电子商务业务模式下的订单履行

订单履行是指客户订单的接受、处理优化、物品拣选、订单整合和包装的过程。它包括对物品的物理操作和相应的信息处理。订单履行是实现配送中心功能的关键环节,决定了订单执行的效率、准确性并负责反馈库存可得性,最终决定了客户的满意度。订单履行是电子商务企业的核心竞争力所在。     

电子商务业务模式下的订单履行：B2C电子商务的订单履行系统建设综述

订单履行是指客户订单的接受、处理优化、物品拣选、订单整合和包装的过程。它包括对物品的物理操作和相应的信息处理。订单履行是实现配送中心功能的关键环节,决定了订单执行的效率、准确性并负责反馈库存可得性,最终决定了客户的满意度。订单履行是电子商务企业的核心竞争力所在。     

物流企业多订单处理优化研究

订单处理是物流企业主要的日常事务之一,物流企业工作效率的高低和订单的处理方式存在密切的关系.现实中,大多数的订单往往都是同时到达,而处理订单却需要逐一进行,因此企业需要一种科学的方法解决多个订单在处理时的排序问题.文章旨在对传统订单处理的排序方法进行改进、优化,通过建模的方式将绩效收益考虑进排序的过程中,提出一种新的、较全面的多订单处理排序方法,希望可以为遇到此类问题的企业提供参考.     

物流企业多订单处理优化研究

订单处理是物流企业主要的日常事务之一，物流企业工作效率的高低和订单的处理方式存在密切的关系。现实中，大多数的订单往往都是同时到达，而处理订单却需要逐一进行，因此企业需要一种科学的方法解决多个订单在处理时的排序问题。文章旨在对传统订单处理的排序方法进行改进、优化，通过建模的方式将绩效收益考虑进排序的过程中，提出一种新的、较全面的多订单处理排序方法，希望可以为遇到此类问题的企业提供参考。     

基于邻苯二胺-过氧化氢反应体系的过氧化物酶反应动力学研究

过氧化物酶(peroxidase,POD)是以过氧化氢为电子受体催化底物氧化的酶。主要存在于细胞的过氧化物酶体中,是动植物代谢中应用广泛的一类催化聚合酶。本文基于邻苯二胺(OPDA)-过氧化氢(H2O2)反应体系,对商品辣根过氧化物酶(HRP)和土豆中的过氧化物酶进行了酶反应动力学的研究。     

电场对荞麦种子抗旱性影响

通过研究不同电场处理荞麦种子在干旱胁迫持续加重的条件下对其幼苗抗旱性的影响。给出了荞麦种子经不同电场处理后的生物效应及抗旱性对比。结果表明:不同电场处理条件下的荞麦种子,其幼苗在干旱胁迫的不同时期适应性反应存在一定差异。适宜电场处理能够促进荞麦幼苗水分胁迫条件下体内可溶性糖的积累,提高超氧化物歧化酶的活性、减少了膜脂过氧化产物丙二醛的积累。说明电场处理可使膜结构与功能在水分亏缺下得到保护,促进了种子和幼苗的代谢水平,从而提高了荞麦的抗旱性。     

Critique of p-Values

This paper generalizes the notion of p-value to obtain a system for assessing evidence in favor of an hypothesis. It is not quite a quantification in that evidence is a pair of numbers (the p-value and the p-value with null and alternative interchanged) with evidence for the alternative being claimed when the first number is small and the second is at least moderately large. Traditional significance tests present p-values as a measure of evidence against a theory. This usage is rarely called for since scientists usually wish to accept theories (for the time being) not just not reject them; they are more interested in evidence for a theory. P-values are not just good or bad for this purpose; their efficacy depends on specifics. We find that a single p-value does not measure evidence for a simple hypothesis relative to a simple alternative, but consideration of both p-values leads to a satisfactory theory. This consideration does not, in general, extend to composite hypotheses since there, best evidence calls for optimization of a bivariate objective function. But in some cases, notably one sided tests for the exponential family, the optimization can be solved, and a single p-value does provide an appealing measure of best evidence for a hypothesis. One possible extension of this theory is proposed and illustrated with a practical safety analysis problem involving the difference of two random variables.     

Optimizing placement of residential shelters for human trafficking survivors

Residential shelters play a critical role in the stabilization and eventual reintegration to society for trafficked persons and entail a large investment. In the United States, survivors of human trafficking live in every state. However, in 2018 a majority of states lack dedicated residential shelters for trafficking survivors. Even in states with shelters, data suggests that demand greatly exceeds capacity, and significant disparity exists between states with respect to the legislative environment and provision of auxiliary services for survivors. We present an optimization approach to evaluate the societal impact of locating dedicated shelters for trafficking survivors at a regional level. Using concepts from health and social welfare economics, we develop an optimization model that allocates a budget for locating residential shelters in a manner that maximizes a measure of societal impact while respecting budgetary constraints. For our case study, we measure this impact via a societal value quantified by a combination of labor productivity gained, reduction in juvenile arrests, disability-adjusted life years averted, and legislative environment, adjusted for the demand for shelters and the current number of shelters available, less construction and operating costs. We illustrate the utility of the model via our case study that allocates a budget among a candidate set of residential shelters for female sex trafficking survivors in the United States. Via sensitivity analyses on a robust set of uncertain parameters, we present policy implications of shelter placements to support this critical societal concern.     

Modelling the spatiotemporal distribution of the incidence of resident foreign population

Many European countries have recently experienced a substantial increase in the proportion of immigrants in their populations. The incidence of resident foreigners calculated at a national level does not provide information on the local spatial and temporal distribution of the phenomenon. This information may be of crucial importance for planning local policies. In this article, we suggest a tool for practitioners to provide spatiotemporal maps representing the local distribution of the incidence of resident foreigners in the territory, and changes in spatial trends over time. We illustrate this with Italian data at a municipal level, for the period 2003–2008. To account for spatiotemporal interactions in the data, we propose using a generalized additive model incorporating a smoother of the time and space dimensions. Specifically, we set up a tensor product smoother combining a cubic regression spline basis for time and a soap film spline basis for space. This approach provides a consistent framework to produce spatiotemporal maps which could be effectively used by policy makers to decide the allocation of economic resources at a local level.     

多种产品系列化包装箱尺寸设计的研究

提出了一套系列化包装箱尺寸设计的方法,通过此方法可以为企业的多种单品进行包装箱尺寸优化设计,并给出每种单品适用的包装箱尺寸。利用此方法对一家医药经销企业的500余种包装箱进行优化,得到的包装尺寸规格种类大量减少,同时能够保证包装箱容积利用率在91%以上。     

The entrepreneur's role stressors and proclivity for a venture withdrawal

We test a causal model of entrepreneurs’ role stressors—role conflict, role ambiguity, and role overload—and their relationships with exhaustion and reduced perceptions of compensation for one's efforts which over time lead to the development of a proclivity for venture withdrawal. Using structural equation modelling and a 2-year longitudinal data set, we find empirical support for the proposed causal model. Overall, the empirical results support the indirect influence of role stressors and highlight the direct effects of enhanced exhaustion and reduced perceptions of compensation for one's efforts on a proclivity for a new venture withdrawal. The paper concludes by proposing implications for theory and further research.     

试论发展和谐的现代社区商业选择

社区商业是我国商贸业发展的重要组成部分,发展和谐的现代社区商业对满足社区居民日常生活需求、提高社区群众的福利水平、促进地区第三产业的发展与构建我国和谐社区有着重要的意义.但目前社区商业发展中存在着诸多总是社区商业也呈现出越来越丰富的内容,需要我们进行深入探讨和研究,明确现代社区商业发展的方向,并提出切实可行的对策和措施.     

基于双指数跳扩散过程的亚式期权的解析定价

研究了双指数跳-扩散模型下亚式期权的定价,得到了这些期权定价得解析公式。在风险中性下,亚式期权的值在恰当的边际条件和终值条件下满足广义Black-Scholes方程;我们提出一种在跳扩散模型下亚式期权定价的新方法。该方法在于为亚式期权所满足的偏积分——微分方程指定恰当的边际条件和终值条件;然后,利用拉普拉斯变换求解该方程,得到了亚式期权的解析定价公式。     

A healthcare facility location problem for a multi-disease,multi-service environment under risk aversion

This paper presents a stochastic optimisation model for locating walk-in clinics for mobile populations in a network. The walk-in clinics ensure a continuum of care for the mobile population across the network by offering a perpetuation of services along the transportation lines, and also establishing referral systems to local healthcare facilities. The continuum of care requirements for different diseases is modelled using coverage definitions that are designed specifically to reflect the adherence protocols for services for different diseases. The risk of not providing the required care under different realisations of health service demand is considered. In this paper, for a multi-disease, multi-service environment, we propose a model to determine the location of roadside walk-in clinics and their assigned services. The objective is to maximise the total expected weighted coverage of the network subject to a Conditional-Value-at-Risk (CVaR) measure. This paper presents developed coverage definitions, the optimisation model and the computational study carried out on a real-life case in Africa.