Adjustment Costs,Inventories and Output

This paper analyzes the optimal adjustment strategy of an inventory‐holding firm facing price‐ and quantity‐adjustment costs in an inflationary environment. The model nests both the original menu‐cost model that allows production to be costlessly adjusted, and the later model that includes price‐ and quantity‐adjustment costs, but rules out inventory holdings. It is shown that the firm's optimal adjustment strategy may involve stockouts. At low inflation rates, output is inversely related to the inflation rate, and the length of time demand is satisfied increases with the demand elasticity but decreases with the storage cost and the real interest rate.     

Multiple generation product life cycle predictions using a novel two-stage fuzzy piecewise regression analysis method

Product life cycle (PLC) prediction plays a crucial role in strategic planning and policy definition for high-technology products. Forecast methodologies which can predict PLCs accurately can help to achieve successful strategic decision-making, forecasting, and foresight activities in high-technology firms, research institutes, governments, and universities. Over the past few decades, even though analytic framework strategies have been proposed for production, marketing, R&D (research and development), and finance, aiming at each stage of PLCs, forecast methodologies with which to predict PLCs are few. The purpose of this research is to develop a novel forecast methodology to allow for predictions of product life time (PLT) and the annual shipment of products during the entire PLC of multiple generation products. A novel two-stage fuzzy piecewise regression analysis method is proposed in this paper. In the first stage, the product life-time of the specific generation to be analyzed will be predicted by the fuzzy piecewise regression line that is derived based upon the product life-time of earlier generations. In the second stage of the forecast methodology, the annual shipment of products of the specified generation will be predicted by deriving annual fuzzy regression lines for each generation, based upon the historical data on the earlier generations' products. An empirical study predicting the life-time and the annual shipment of the 16 Mb (Mega bit) DRAM (Dynamic Random Access Memory) PLC is illustrated to validate the analytical process. The results demonstrate that two-stage fuzzy piecewise regression analysis can predict multiple generation PLT and PLC precisely, thereby serving as a foundation for future strategic planning, policy definitions and foresights.     

松香皂引气剂的试验研究

文章介绍了一种通过正交试验合成的新的松香皂引气剂,并通过泡沫指标确定了其优化配比,同时分析了合成松香皂引气剂时的加热时间和搅拌时间对泡沫性能的影响。     

Optimal Contracts for Central Bankers: Inflation versus Money Supply and Exchange Rate Targets

Some recent papers have shown how a simple contract can eliminate the inflationary bias of discretionary monetary policy. This paper shows that if the central banker is risk averse, a contract in terms of money is superior to one in terms of inflation. The paper also shows that, if the central banker cares about his reappointment, an exchange rate target might always leads to the implementation of the optimal policy.     

AN EVALUATION OF PROCESS‐ORIENTED SUPPLY CHAIN MANAGEMENT FRAMEWORKS

Supply chain management (SCM) is implemented by integrating corporate functions using business processes within and across companies. Several process‐oriented frameworks for SCM have been proposed but only two of these provide sufficient detail to enable implementation. We evaluate the Supply‐Chain Operations Reference (SCOR) framework and The Global Supply Chain Forum (GSCF) framework using four criteria and identify their relative strengths and weaknesses.     

Demand‐side housing policy in Costa Rica: a response to the housing deficit

The purpose of this study was to establish what the housing needs of Costa Rica are and to assess what policies have been implemented to respond to their housing deficit. In order to answer these questions, a combined methodology consisting of primary and secondary data was used. Using open‐ended questions and a topic schedule, face‐to‐face interviews with Costa Rican housing authorities were conducted at the interviewee's work place in Costa Rica in May 2003. The most recent secondary data available in the country was used to compute the housing deficit and to study the effects of demographics on current housing needs. Sources of the secondary data were the Costa Rica Ministry of Housing and Human Settlements, and the National Institute of Statistics and Census. The Costa Rican government has made great progress in reforming the housing finance system in order to meet the housing demand of its citizens. In 2002, Costa Rica had a 75.6% home ownership rate. Yet, even in light of the housing system's current success, many social, economic and political barriers threaten to undermine its accomplishments and the peoples’ ability to obtain safe and affordable housing. The paper considers the strengths and weaknesses of the current housing finance system as well as the government strategies for addressing difficulties.     

物流配送实时监管系统设计

随着近年流通领域的发展,尤其是电子商务对现代物流的要求,物流配送需要现代化的信息技术已越来越成为人们的共识,如何对物流配送系统和配送中心进行现代化建设,已成为不少物流配送公司的重要课题。针对目前物流配送中“不可见部分”和过程无法控制的现状,论文设计了一个物流配送实时监管系统来满足物流配送企业和客户的需求。     

物流速度与物流时间管理

根据目前中国国内物流的现状，提出耍改善物流行业的整体状况，必然需要加快物流速度，减少物流时间以节省物流成本。文章引入物流速度与物流时间管理的概念，并由此提出了一些具体的物流时间管理方法。     

Forecasting economic time series with unconditional time-varying variance

The classical forecasting theory of stationary time series exploits the second-order structure (variance, autocovariance, and spectral density) of an observed process in order to construct some prediction intervals. However, some economic time series show a time-varying unconditional second-order structure. This article focuses on a simple and meaningful model allowing this nonstationary behaviour. We show that this model satisfactorily explains the nonstationary behaviour of several economic data sets, among which are the U.S. stock returns and exchange rates. The question of how to forecast these processes is addressed and evaluated on the data sets.     

供应链信息流研究综述

通过对供应链信息流相关文献分析,从信息流运作对供应链整个响应时间压缩的影响、信息流的研究内容和研究方法三个方面,对该领域研究进行分析总结,并就进一步研究提出展望。