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From operations management's point of view, the nature of business models is the tool for knowing data, processing data and extracting value from data. Recently many studies advocate big data research which one common object to bring in intelligence from the huge amount of data. Nevertheless, owing to the characteristics of unstructured data, extracting the value in the big data still requires further...
A key requirement in preparing for a growing UAS industry and for the integration of unmanned vehicles into the US national airspace, is a method for clear and specific forecasting. We must know what types of operations are being performed, where they will occur, and what types of vehicles will be used. Current demand forecast models are not tightly coupled to the real purpose of the mission requirements...
The development of modern services cannot do without the staffs in this field. As the global industry transfers from industrial economy to service economy, the labor demand for modern services keeps increasing. The research reviews labor demand theories and its various incidence impacts, and carries out forecast research and incidence research of the number of people engaged in services in the future...
A typical two-or three-year research project has an impact that is only really visible after the project has come to an end, at a time when there are no resources to monitor that impact. As a consequence, projects need to estimate/predict their future impact before they end. In this paper we describe the impact activity monitoring method in the FITMAN project. This method addresses the problem by...
In order to forecast total coal demand of China, this paper divides consumption by sector in detail, including Agriculture, Forestry, Animal Husbandry, Fishery and Water Conservancy, Industry, Construction, Transport, Storage and Post, Wholesale and Retail Trades, Hotels and Catering Services, Other Sectors, Household Consumption. Then, this paper forecasts coal consumption value until next decade...
Tourism is a networked industry where clusters of organizations coordinate, cooperate, or compete in a dynamic environment. Therefore tourism industry is well suited to the concept of the supply chain. It is believed that applying supply chain management strategy to the tourism industry provides a new research opportunity to generate insights into how a tourism supply chain (TSC) develops a sustainable...
Many factors may affect the demand of regional logistics. But we could not list all the factors and could not quantitatively analysis the influencing degree of each factor. In traditional forecast methods, many influence factors may be ignored or predigested, which may warp the forecasting result. Set pair clustering analysis may solve the problem of neglecting some influencing factors. In this paper,...
This paper makes a systematic study and analysis about the improving form Discrete GM(1,1) Model of grey forecasting model GM(1,1),and the model's effectiveness and reliance are illustrated with the living example of forecasting of real estate prices. Research results show that DGM(1,1) model can be considered as the precise form of grey forecasting model. Providing a kind of new method for forecasting...
We defined earnings quality as the ability to forecast the future cash flow, stronger forecast capability means higher earnings quality. Choosing all of the A-share in Shanghai and Shenzhen Exchanges between 2001 and 2007, we made a test on the relationship between operating cash flow and accruals. The results demonstrate that the publishing of cash flow can help to increase the financial information...
Because of accurate forecasting of tourist arrivals is very important for tourism industry, various tourist arrivals forecasting models have been developed. The aim of this paper is to introduce the basic theoretical principles of electromagnetism-like mechanism (EM) algorithm and design a new neural network model for tourism forecasting which uses the EM algorithm as the learning rule (EMNN). The...
With service economy time coming, the service industry is playing an increasingly important role, meanwhile the research of Services revenue management is moving frontier rapidly. On the base of consulting large amount of relative literatures, this article shows the western progress of research on revenue management in the service industry and sums up the domestic studying actuality. Finally this...
There is little debate as to whether the high financial staked release of new movie is a risk venture with alarming failure rate. The prerelease prediction of movie-going behavior is crucial and considered a challenging task. To resolve above issue, we investigate into factors which influence innovation and imitation coefficients in Bass New Product Diffusion Model. Empirical evidences from American...
In full knowledge of the energy-saving and emission reduction (ESAER) policies in China, it is analyzed in this paper what the promising new futures in electricity demand in East China in the context of ESAER. To propose the well applicable load forecasting methods for East China power grid, where the ESAER policies have being intensively implemented since 2005, the reality of economic development...
The most important element in power engineering policy is assure safety delivery cheap energy produced with proecological sources of energy. One of the ways of improvement the energy safety of government is reduce energy-consuming industry, which is the biggest consumer electric energy Forecasts of energy-consuming factors for power industry and mining industry to allow to plan strategy of development...
Loyalty reward programs (LRPs), initially developed as marketing programs to enhance customer retention, have now become an important part of customer-focused business strategies. With the growth in these programs, the complexities in their management and control have also increased. One of the challenges faced by LRPs managers is that of developing models to address various forecasting issues to...
Wavelet neural network is a neural network combining the wavelet theory with neural network theory, which avoids nonlinear optimization problems such as blindness of the design of BP neural network structure and local optimum, greatly simplifying the training. The use of wavelet neural networks to forecast regional logistics demand provided an important reference for regional logistics systematic...
It is difficult to accurately analyze forecasting of tax income. This thesis establishes a tax forecasting model based on BP neural network to analyze impacts imposed on tax income by changes of the following economic factors: industrial added value, total investment in fixed assets, total volume of import and export, total volume of fiscal expenditure, resident consumption level, etc. The thesis...
Based on the statistical data during the period from 2001 to 2004 released by Henan statistical bureau in China, this paper aims to predict the amount of scientists and technicians of Henan province in China by the usage of GM (1, 1) model with the four items. The result of this etechnological policiesmpirical study is that the grey prediction theory can fit the scientists and technicians amount development...
The sustainable and rapid development of Chinese economy objectively brings forward new requirements for operating capability and development potential of Chinese logistics industry. Under the background, the paper used advance neural network method to establish a decision-making model of operating capability of Chinese logistics industry, and made efficient examining through real logistics data....
China is now experiencing rapid development and has become the second largest energy consumer. China has presented the objectives of building a well off society in an all round way at the 16th National Congress of the Communist Party of China in 2002. Without question, the future society, with higher level of modernization and standard of living, will consume more energy. In this paper, the LMDI (Log-Mean...
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