一汽-大众奥迪品牌CKD中心仓储优化研究

针对X汽车制造厂多种车型尤其是新车型产量的增加,加大了CKD中心的零部件库存量、越库作业量的现状.为了提高CKD中心的作业质量,克服土地资源局限性,投资规模等限制因素,制订了CKD中心仓储优化方案,提出通过安装钢结构平台、GLT组合式货架、优化零件存储周期、提高现有库房的空间利用率、减少库房间越库运输等组合措施提高库房空间利用率,并实证了方案的有效性.     

关于优化流量经营管理的思考

本文将以中国移动为研究对象,针对流量经营管理作出分析思考。     

海洋石油工程设计与现场施工相结合要点分析

本文将通过对几个海洋石油工程的设计实例进行分析,来重点阐述在目前海洋石油工程设计中所存在的问题以及影响施工质量的各种因素。并通过综合考虑,为提高海洋石油工程的安全质量提出相应的优化对策。     

Design of a novel adaptive inventory control system based on the online identification of lead time

In this paper, an adaptation method for the online identification of lead time is incorporated in production–inventory control systems. Based on the lead time estimate, the tuning parameters are updated in real time to improve the efficiency of the system. Combination of the adaptive scheme with a proportional control law is able to eliminate the inventory drift that appears when the actual lead time is not known in advance or when it varies with time. A detailed analysis is provided for the proposed production–inventory system, including a stability analysis and the quantification of its bullwhip effect. Several examples and comparison with state-of-the-art alternative approaches illustrate the efficiency of the system.     

A multiple objective particle swarm optimization approach for inventory classification

This paper presents a particle swarm optimization approach for inventory classification problems where inventory items are classified based on a specific objective or multiple objectives, such as minimizing costs, maximizing inventory turnover ratios, and maximizing inventory correlation. In addition, this approach determines the best number of inventory classes and how items should be categorized for the desired objectives at the same time. Experiments are employed to determine the best combination of algorithm parameter values. Extensive numerical studies are conducted and results are compared to other known classification methods. The performance of the algorithm on a practical case is also presented.     

The economic burden of advanced Parkinson’s disease: an analysis of a UK patient dataset

Abstract

Background:

To evaluate the cost burden of patients with advanced Parkinson’s disease (PD) according to the waking hours per day spent in OFF state. An analysis of resource use comprising medical services, professional care and informal care data from an observational, cross-sectional study was conducted.

Methods:

A total of 60 physicians comprising 40 neurologists and 20 geriatricians across the UK participating in the Adelphi PD Disease Specific Programme took part. There were 302 PD patients at H&Y stages 3–5. Patients were characterised according to the percentage of time per day spent in OFF state (<25%, 26–50%, 51–75%, >75%).

Results:

Average 12-monthly total costs increased according to the time spent in OFF state from £25,630 in patients spending less than 25% of their waking hours in OFF to £62,147 for patients spending more than 75% of their time in OFF. Overall, 7% of costs were attributed to direct medical care, while 93% were split between direct non-medical professional care (50%) and indirect informal care (43%).

Limitations:

Low patient numbers in the more advanced disease stages of PD led to very little or no data to directly inform some of the severe health states of the analysis. Data gaps were filled in with data derived from a regression analysis which may affect the robustness of the analysis.

Conclusion:

This study illustrates the increasing costs of advancing PD, in particular related to the time spent in OFF state, and identifies that the foremost cost burden is associated with the care needs of the patient rather than medical services.     

On the determinants of household debt maturity choice

This article jointly analyses a behavioural and a cultural concept to explain household debt portfolio choice. The behavioural approach explores the role of time preferences on household debt maturity in a theoretical model and a numerical analysis. We derive a positive relationship between the long-term discount factor δ and the optimal maturity of household loans. The cultural approach examines whether national culture is a reasonable predictor for household debt maturity. We show that culture is an important factor for households’ borrowing decisions and has even more predictive power than time preferences. Countries with higher scores on the Hofstede dimension of long-term orientation tend to have shorter household debt maturity. Time preferences incur a primarily mediating role, because the effect of national culture on the borrowing decision is reduced, as the long-term discount factor δ increases.     

Was the recent downturn in US real GDP predictable?

This article uses a small set of variables – real GDP, the inflation rate and the short-term interest rate – and a rich set of models – atheoretical (time series) and theoretical (structural), linear and nonlinear, as well as classical and Bayesian models – to consider whether we could have predicted the recent downturn of the US real GDP. Comparing the performance of the models to the benchmark random-walk model by root mean-square errors, the two structural (theoretical) models, especially the nonlinear model, perform well on average across all forecast horizons in our ex post, out-of-sample forecasts, although at specific forecast horizons certain nonlinear atheoretical models perform the best. The nonlinear theoretical model also dominates in our ex ante, out-of-sample forecast of the Great Recession, suggesting that developing forward-looking, microfounded, nonlinear, dynamic stochastic general equilibrium models of the economy may prove crucial in forecasting turning points.     

The Route Matters: Poverty and Inequality among Lone-Mother Households in Russia

Using the case of Russia, this paper takes issue with the stereotype of lone mothers as the poorest women in society, with the most disadvantaged children. Analysis of the Russian Longitudinal Monitoring Survey suggests there is enormous diversity in the material circumstances and livelihoods of lone mothers. Complementing the diversity of lone mothers' experiences is the finding that women who live with male partners, but who are responsible economically for their households, face problems much like those of lone mothers. The structural inequities that result from combining paid labor with unpaid care and childrearing have particularly adverse consequences for lone mothers and for women who bear the brunt of maintaining their households. While this analysis emphasizes the different aspects of the falsely homogenizing category “lone mother,” it also recognizes the structural disadvantages shared by lone mothers and other women in Russia today.