信息化条件下流通商主导的供应链动态联盟

供应链动态联盟是信息技术发达、市场需求主导的条件下实现敏捷生产和流通的重要组织形式。是一种基于非正式契约的不完全市场交易方式。在消费者占据主导权、生产企业逐渐归核化（refkusing）的条件下,流通商在联盟中居于重要地位。文章论述了信息网络技术高度发达的条件下流通商主导的供应链动态联盟的运作机制,以期能够为建立和谐高效的产销关系提供理论支持。     

Measuring and Achieving Equity in Multiperiod Emergency Material Allocation

Emergency material allocation is an important part of postdisaster emergency logistics that is significant for improving rescue effectiveness and reducing disaster losses. However, the traditional single‐period allocation model often causes local surpluses or shortages and high cost, and prevents the system from achieving an equitable or optimal multiperiod allocation. To achieve equitable allocation of emergency materials in the case of serious shortages relative to the demand by victims, this article introduces a multiperiod model for allocation of emergency materials to multiple affected locations (using an exponential utility function to reflect the disutility loss due to material shortfalls), and illustrates the relationship between equity of allocations and the cost of emergency response. Finally, numerical examples are presented to demonstrate both the feasibility and the usefulness of the proposed model for achieving multiperiod equitable allocation of emergency material among multiple disaster locations. The results indicate that the introduction of a nonlinear utility function to reflect the disutility of large shortfalls can make the material allocation fairer, and minimize large losses due to shortfalls. We found that achieving equity has a significant but not unreasonable impact on emergency costs. We also illustrate that using differing utility functions for different types of materials adds an important dimension of flexibility.     

试论社会工作价值教育的写作疗法

目前，我国社会工作专业教育取得了很大的进步，但是依然存在着学生专业归属感与认同度不高的局限。社会工作价值教育的核心动力包括自我认同和专业认同，写作疗法是社会工作专业价值教育的一种可行选择。写作疗法可以促进社会工作价值教育中的个人认同和专业认同的螺旋上升，增强学生对自己、对专业的认知、态度、归属和自豪感，激发学生的梦想力、团队感、执行力和成就感，最终实现社会工作专业价值内化。社会工作价值教育中写作疗法的运用，要坚持学生为本理念、深耕精培理念和关系促进原则、成就动力原则，遵循科学的程序和指引。在这一过程中，指导教师要将社会工作价值理念教育贯穿始终，通过言传身教让学生切实感受到专业价值的真实性和价值性。     

Flexibility and regularity properties of the asymptotically ideal production model

This paper uses simulations to investigate the ability of the Asymptotically Ideal Model(AIM) to approximate unknown technologies. AIM was proposed by Barnett and Jonas (1983) as an expansion which could approximate any indirect utility or cost function arbitrarily well at all prices. By applying AIM to simulated data, we fmd a significant improvement in prediction by higher orders of AIM relative to the generalized Leontief and the translog. The largest error in approximating some CES technologies with AIM is 125 times smaller than that of the generalized Leontief and we find a translog approximation error 1000 times that of AIM in others. We also fmd that non-negativity constraints used by Barnett, Geweke, and Wolfe (1991) to impose concavity on the model greatly restrict the flexibility of AIM, even when all the inputs are substitutes.     

Setup cost reduction a multi-stage order quantity model

In this paper, a single item, multi-stage serial order quantity (MSOQ) model with constant demand is discussed. The objective of the model is to minimize the total cost which includes the setup cost and the inventory holding cost. This paper examines and analyses the investment in a one-time cost to reduce the (current) setup level and adds a per unit item amortization of this cost to the other costs associated with the MSOQ model. We consider the setup cost to be decreased on each stage with the same rate and the cost of the joint setup cost reduction is a logarithmic cost function.     

A decision support tool to determine cost-to-benefit of a family-centered in-home program for at-risk adolescents

Family-centered program research has demonstrated its effectiveness in improving adolescent outcomes. However, given current fiscal constraints faced by governmental agencies, a recent report from the Institute of Medicine and National Research Council highlighted the need for cost-benefit analyses to inform decision making by policymakers. Furthermore, performance management tools such as balanced scorecards and dashboards do not generally include cost-benefit analyses. In this paper, we describe the development of an Excel-based decision support tool that can be used to evaluate a selected family-based program for at-risk children and adolescents relative to a comparison program or the status quo. This tool incorporates the use of an efficient, user-friendly interface with results provided in concise tabular and graphical formats that may be interpreted without need for substantial training in economic evaluation. To illustrate, we present an application of this tool to evaluate use of Boys Town’s In-Home Family Services (IHFS) relative to detention and out-of-home placement in New York City. Use of the decision support tool can help mitigate the need for programs to contract experts in economic evaluation, especially when there are financial or time constraints.     

The additional cost of disability: a new measure and its application to sensory impairment

This article introduces a method using consensual budget standards to estimate additional costs incurred by households that include disabled people with specified impairments. The article reports on a first application of this to UK single adults with sensory impairments. Using the Minimum Income Standard method, the research aims to identify the cost of disability by working with groups of disabled people to agree what additions to minimum budgets for non-disabled people are required for someone with a given impairment. This provides a more tangible account of the cost of disability than economic analysis of living standards achieved by disabled and non-disabled people, and adds to surveys of actual spending on additional items, which do not account for unmet need. The research on vision and hearing impairment yields new insights into costs arising from the way disabled people live their everyday lives, not just from spending on adaptations and equipment.     

COMPARISON OF COSTS FOR MULTI-STAGE GROUP TESTING METHODS IN THE PHARMACEUTICAL INDUSTRY

The issue of whether to test components individually, or alternatively in groups, in order to detect certain chemical properties remains an important issue in the pharmaceutical industry. Economic viability is of paramount importance since, for multi-stage procedures, the cost of additional stages must be taken into consideration, along with the cost of testing mixtures of components. Optimum groups sizes are calculated for the two-stage, three-stage (both members of Li's family of algorithms) and the row-and-column procedures. The γ-two-stage design is investigated, which involves using a γ-separating design at the first stage, followed (if necessary) by a strongly separating design at the second stage. Finally, comparisons are made between the costs of single and multi-stage procedures, for both optimum and standard groups sizes, through the use of two different cost functions.     

Multi-item production lot-size inventory model with varying order cost under a restriction: A geometric programming approach

In this paper we present a geometric programming approach for determining the inventory policy for multiple items having varying order cost, which is a continuous function of the order quantity, and a limit on the total average inventory of all items. Our model is a generalization of that of Gupta and Gupta for unrestricted single-item order quantity model with varying order cost and assumes the same order cost function. This cost function relates well to real-life situations since it increases as the order quantity increases and, at the same time, it is easy to handle when deducing previous work as special cases of our model since it is easily reducible to a constant. An example is solved to illustrate the method.     

Integrated Approaches for the Public Health Prioritization of Foodborne and Zoonotic Pathogens

To address the persistent problems of foodborne and zoonotic disease, public health officials worldwide face difficult choices about how to best allocate limited resources and target interventions to reduce morbidity and mortality. Data‐driven approaches to informing these decisions have been developed in a number of countries. Integrated comparative frameworks generally share three methodological components: estimating incidence of acute illnesses, chronic sequelae, and mortality; attributing pathogen‐specific illnesses to foods; and calculating integrated measures of disease burden such as cost of illness, willingness to pay, and health‐adjusted life years (HALYs). To discuss the similarities and differences in these approaches, to seek consensus on principles, and to improve international collaboration, the E.U. MED‐VET‐NET and the U.S.‐based Food Safety Research Consortium organized an international conference convened in Berlin, Germany, on July 19–21, 2006. This article draws in part on the deliberations of the conference and discusses general principles, data needs, methodological issues and challenges, and future research needs pertinent to objective data‐driven analyses and their potential use for priority setting of foodborne and zoonotic pathogens in public health policy.