密集式叉车立体库的作业管理与货位分配算法

针对密集式叉车立体库的物资存储特点和作业模式,给出了与出入库作业流程相结合的货位状态数据管理过程,以出库作业效率为优化指标实现了货位分配。通过对"预分配→实名化→已上架"三级入库作业货位状态和"预分配→已下架→已回库"三级出库作业货位状态的数据管理,实现与仓库作业管理的协调配合;利用货架电子标识进行作业导引,实现作业人员快速寻找作业货位;在入库作业的制定入库作业计划阶段采用"托盘组—货格"耦合策略进行货位分配,得到的货位分配方案在不改变原有物资存储位置的前提下能够达到最高出库效率。

采用无轨巷道堆垛机的自动化仓库设计

对于中低层货架 ,且自动化程度要求不太高的仓库 ,适于采用无轨巷道堆垛机作为堆垛设备。设计该种仓库时 ,应考虑单元货物与货格的间隙、巷道宽度、堆垛机导轨安装形式及与货架的间隙等。

Applications of nonferrous metal price volatility to prediction of China's stock market

The aim of the present work is to examine whether the price volatility of nonferrous metal futures can be used to predict the aggregate stock market returns in China. During a sample period from January of 2004 to December of 2011, empirical results show that the price volatility of basic nonferrous metals is a good predictor of value-weighted stock portfolio at various horizons in both in-sample and out-of-sample regressions. The predictive power of metal copper volatility is greater than that of aluminum. The results are robust to alternative measurements of variables and econometric approaches. After controlling several well-known macro pricing variables, the predictive power of copper volatility declines but remains statistically significant. Since the predictability exists only during our sample period, we conjecture that the stock market predictability by metal price volatility is partly driven by commodity financialization.

具有防震落控制功能的自动化立体仓库监控系统

随着地震多发地带建设自动化立体仓库的需求增长,对自动化立体仓库防震落系统的控制和监控成为新需求中的重要环节。充分了解自动化立体仓库的作业流程和防震落系统的工作原理,合理设计监控系统的控制流程,对具有防震落系统自动化立体仓库的应用具有重要作用。

Price and retailer's service level decision in a supply chain under consumer returns

To investigate the optimal retail price and service level in a supply chain under consumer returns, a consumer returns model under the retailer＇s service provision is built. The optimal decision results and optimal profits are obtained in the vertical integration game and the manufacturer Stackelberg game, respectively. Through comparing the optimal profits with service provision with those of no service provision, the boundary conditions that the retailer＇s service should be provided are derived. The results show that in the manufacturer Stackelberg game, the optimal profit of the retailer and the manufacturer with service is always superior to that of a no service provision. However, in the vertical integration game, the supply chain can only benefit from the service under certain conditions. Finally, through numerical examples, the impacts of the cost for providing services and the consumer return rate on the optimal decisions are analyzed.

Using Wheat Futures to Stabilize the Cost of Raw Material in Bakery Sector

The article presents the example of using relations between the price of wheat flour sold by the milling companies and the price of wheat futures listed on the FOREX market to protect the companies from bakery sector against adverse price movements of raw material--wheat flour. The paper aims to present a method which can help to reduce risk of changes wheat flour price in the market by using wheat futures traded at FOREX market. For the analysis authors used weekly data since January 2006 until October 2010 about wheat flour price, wheat grain price, wheat futures prices, quotes a currency pair USD/PLN. Wheat flour prices came from studies of the Department of Agricultural Markets, Ministry of Agriculture, and Rural Development in Poland and represented the average sales price of wheat flour by milling companies. Information about wheat futures and quotes a currency pair USD/PLN reflects the actual trading of the FOREX market. Authors used statistical analysis tool for determining the strength of the relationship between the price of wheat flour and the wheat price on the domestic market and the wheat futures price. The correlation coefficient between them was 0.763. For further test authors used seven different options that use future contracts to reduce fluctuations in the flour price which can be used in bakery businesses. These results of research show that someone can effectively use wheat futures contracts listed on the FOREX market to protect the bakery business against adverse movements of wheat flour prices. Application in practice chosen strategies can allow bakery companies to achieve cost advantages by reducing the adverse changes in the wheat flour prices. Chosen strategies are more efficient if the prices of flour in the domestic market are rising. If prices drop down, the effectiveness of using wheat futures contracts was lower. It should be noted that wheat futures contracts are a good tool to achieve cost advantages in the bakery industry, especially when the wheat flour prices are increased on the domestic market.

Prediction of metal futures price volatility and empirical analysis based on symbolic time series of high-frequency

The metal futures price fluctuation prediction model was constructed based on symbolic high-frequency time series using high-frequency data on the Shanghai Copper Futures Exchange from July 2014 to September 2018,and the sample was divided into 194 histogram time series employing symbolic time series.The next cycle was then predicted using the K-NN algorithm and exponential smoothing,respectively.The results show that the trend of the histogram of the copper futures earnings prediction is gentler than that of the actual histogram,the overall situation of the prediction results is better,and the overall fluctuation of the one-week earnings of the copper futures predicted and the actual volatility are largely the same.This shows that the results predicted by the K-NN algorithm are more accurate than those predicted by the exponential smoothing method.Based on the predicted one-week price fluctuations of copper futures,regulators and investors in China’s copper futures market can timely adjust their regulatory policies and investment strategies to control risks.

Study of Major Effects on China＇s Inflation 1994-2009 Using GETS Modeling

Applying ＂General to Specific＂ （GETS） modeling and using PcGets software, this paper studies the relationship between inflation, money supply, output gap, the exchange rate and crude oil prices in China. The empirical study supports the view that a long-term positive correlation exists between inflation and money supply. However, inflation is not an entirely ＂monetary phenomenon. ＂In addition to money supply, other variables also affect inflation. Similarly, there is significant correlation between output gap and inflation. In addition, we cannot overlook the impact of exchange rates on inflation.

Price Dynamics of the World Gold Market： A Model Incorporating Inventories

Gold is regarded as a strategic mineral in many countries and its price is a key indicator of global business confidence. There is need for dynamic modelling of the world gold market, which would enhance understanding of the world market conditions, especially the long-term tendency of world gold prices, and hence facilitate long-term planning. This study incorporates inventories into the world market model and uses simultaneous equation approaches to estimate the model. From this estimation, the paper derives the time-path for the world annual price of gold. Results show that the price time-path converges without oscillations, from below, towards an intertemporal equilibrium. This equilibrium is estimated at about US$105,000.00 per kilogram based on a projected average world income. If the assumption of average income is relaxed, the intertemporal equilibrium price becomes variable dependent on the actual values of world income at a given time, which however, does not alter its dynamic characteristics. The results, therefore, show that gold price is dynamically stable. Short-term fluctuations, which are sometimes extreme, have no long-term effect on gold attractiveness.

Theory summary on price discovery function of futures market

Price discovery is the basic function of futures market, and whether the futures market has the function of price discovery is an important research field for scholars both at home and abroad. This paper classifies the test methods and models on a basis of previous research, and introduces the applicable premise of research methods and models as well as the major research achievements of scholars at home and abroad, and also reviews the shortcomings of test methods and models.

A Decision Support System for Energy Trading and Portfolio Optimization

In the new competitive environment of the electricity market, risk analysis is a powerful tool to guide investors under both contract uncertainties and energy prices of the spot market. Moreover, simulation of spot price scenarios and evaluation of energy contracts performance, are also necessary to the decision maker, and in particular to the trader to foresee opportunities and possible threats in the trading activity. In this context, computational systems that allow what-if analysis, involving simulation of spot price, contract portfolio optimization and risk evaluation are rather important. This paper proposes a decision support system not only for solving the problem of contracts portfolio optimization, by using linear programming, but also to execute risks analysis of the contracts portfolio performance, with VaR and CVaR metrics. Realistic tests have demonstrated the efficiency of this system.

Metric Expansion from Microscopic Dynamics in an Inhomogeneous Universe

Theories with ingredients like the Higgs mechanism, gravitons, and inflaton fields rejuvenate the idea that relativistic kinematics is dynamically emergent. Eternal inflation treats the Hubble constant H as depending on location. Microscopic dynamics implies that H is over much smaller lengths than pocket universes to be understood as a local space reproduction rate. We illustrate this via discussing that even exponential inflation in TeV-gravity is slow on the relevant time scale. In our on small scales inhomogeneous cosmos, a reproduction rate H depends on position. We therefore discuss Einstein-Strauss vacuoles and a Lindquist-Wheeler like lattice to connect the local rate properly with the scaling of an expanding cosmos. Consistency allows H to locally depend on Weyl curvature similar to vacuum polarization. We derive a proportionality constant known from Kepler＇s third law and discuss the implications for the finiteness of the cosmological constant.

Empirical research on the relationship between real estate price fluctuation and foreign money inflow

In recent years, the real estate price has been raising with the volume of foreign money inflow increasing. The relationship between foreign money and real estate price becomes a focus. This paper studies the relationship with empirical methods. The co-integration test shows that there is a long equilibrium between real estate price rising and foreign money inflow. The analysis of ECM shows that foreign money inflow as to real estate price rising is less important than real estate price rising as to foreign money inflow. And Granger test also shows that foreign money inflow is not the cause of real estate price rising, on the contrary, real estate price rising causes foreign money flowing in.

Cotton Market Fundamentals ＆ Price Outlook

Recent price movement All benchmark prices except the CC Index increased over the past month.Prices for the March NY futures contract surged in late December,rising from75 cents/lb to just below 80 cents/lb.Following that round of increases,

Rising Labor Costs Exert Tenacious Effects on Inflation

With diminishing population divident, rising labor costs＇ will become a medium- to long-term trend and this change will significantly affect price formation and the direction of development in China. This paper uses a New Keynesian Phillips Curve （NKPC） model to conduct empirical analysis on all possible drivers of inflation in China. The authors conclude that while monetary expansion and expectation on inflation both have significant, driving impacts on China＇s inflation, rising labor costs have also become an important driver of China＇s rising prices. They argue that the solution to China＇s inflation problem lies not in currency policy and currency controls alone; it must be complemented by other policies that address the root causes of inflation.

NY futures & A Index turn lower Chinese prices unchanged

2015.5 Recent price movement After trending higher from midMarch through the end of April,values for NY futures and the A Index turned lower in May.Chinese prices have been stable,while Indian and Pakistani prices increased.Prices for the nearby July contract(NY futures)met resistance near 68 cents/

The Changes in World Oil Prices, Monetary Factors, and Foreign Index Toward Composite Index Movement： Indonesian Case for the Period of 2005-2011

Capital market is one of the drivers of the economy through the formation of capital investor excess as well as an indicator of a country＇s economy. Movement of stock price index is often influenced by many factors, derived from the company＇s performance, monetary factor, and changes in world oil prices. This study highlights the problem in world oil prices due to political turmoil in the Middle East. The samples are taken from the Jakarta Composite Stock Price Index （JCI）, oil prices, Indonesian inflation rate, Certificate of Bank Indonesia＇s （CBI） rate, and the reserve assets, during the period from January 2005 to December 2011 （84 months）. Using the data published by the Bank of Indonesia, reports of the Central Bureau of Statistics （Biro Pusat Statistik, BPS）, and other relevant sources, the data analyzed through the Eviews 7.1. The main objective of this study is to examine the effect of oil prices, foreign stock price index, and monetary variables （inflation rate, CBI rate, country＇s foreign reserves, and others） toward the JCI analyzed through the error correction model （ECM）. Hypothesis testing with the F-test for the 95% confidence level indicates that the oil price, exchange rate （Indonesian Rupiah （IDR）/United States Dollar （USD））, CBI rate, foreign exchange reserves, the Dow Jones Index, and the Taiwan stock index, both simultaneously as well as partially have a significant influence on the JCI.

OPTIMAL DECISIONS WHEN BALANCING EXPECTED PROFIT AND CONDITIONAL VALUE-AT-RISK IN NEWSVENDOR MODELS

This paper investigates a risk-averse inventory model by balancing the expected profit and conditional value-at-risk （CVaR） in a newsvendor model setting. We find out that： i） The optimal order quantity is increasing in the shortage cost for both the CVaR only criterion and the tradeoff objective, ii） For the case of zero shortage cost, the optimal order quantity to the CVaR criterion or tradeoff objective is increasing in the selling price, respectively. However, it may not be monotonic in the selling price when incorporating a substantial shortage cost. Moreover, it may be larger or less than the risk-neutral solution, iii） Under the tradeoff objective function, although the optimal order quantity for the model without shortage cost is increasing in the weight put on the expected profit, this property may not be true in general for the model with a substantial shortage cost. Some numerical examples are conducted to verify our results and observations.