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This paper considers a supply chain model in which a single supplier sells a single product to a single retailer who faces the newsvendor problem. The retailer has combined decision bias. The results show that the supply chain can achieve channel coordination with return policy, the return price increases as the retailerpsilas waste-averse preferences increases and decreases as stockout-averse preferences...
With the logistics outsourcing more widely used, a growing number of third-party logistics (TPL) were introduced to the VMI (Vendor-managed Inventory) implementation strategy, in this mode, how to effectively integrate the logistics and information flow in the supply chain has become an important research topic. Due to the complexity and a certain randomness of this mode, this paper uses the generalized...
Construction projects are one-off endeavors with many unique features such as long period, complicated processes, abominable environment, financial intensity and dynamic organization structures and such organizational and technological complexity generates enormous risks. And environmental and economical dimensions throughout the life cycle of the construction project, so the construction project...
A comprehensive and objective post-evaluation of rural electric network reformation (RENR) will bring a scientific suggestion for decision-making with the financing is shortage. In this paper, on the base of analyzing methods used in post-evaluation before, a new model, which integrated with fuzzy theory, interval number and analytic hierarchy process (AHP), is proposed. Multi-factors and information...
This paper applies two methods to evaluate the economic effects of the policy of "replacing small units with large ones (RSWL)," one is Discounted Cash Flow (DCF) method which performs a technology economic analysis both from the financial and the economic perspectives, the other one is to use the Real Option theory to study the lagging investment problem of the big unit. Through an illustrative...
The paper adopts rough set reduction algorithm to reduce the influence factors of power plant selection and eliminate the uncorrelated attribution, through which we can obtain typical samples. After this, adopting fuzzy method to calculate the membership degree of the typical samples, which are looked on as the input of BP Neural Network and the expert values are as the expected output to train the...
The building of transmission networks in electricity market may always be faced with many uncertain factors, therefore the traditional routines for transmission investment decisions could not meet the new demands of the market. This paper aims at analyzing the behaviors, characters of transmission investment and its scale economy, meanwhile, it will focus on studying the uncertainty of the transmission...
By making use of the method of fuzzy cluster analysis and various data like GDP, fixed assets investment and electricity consumption of the three major industries, this paper classifies the 9 large cities of Fujian province of China similar in development into the same groups. Based on the result of fuzzy cluster analysis, the paper concludes that the general situation of power consumption affects...
In view of electricity customer credit evaluation lacking of precise index system and hardly quantifying subjective factors and experience factors, fuzzy expected value decision-making method modified by least squares support vector machine (LS-SVM) is presented. Firstly, electricity customer credit evaluation index system is constructed; the indices values and subjective experiences values are given...
In order to implement the multiple factors and multi-target assessment of real estate investment risk, a model of real estate investment risk evaluation based on fuzzy DEA method was put forward by using the relatively effective evaluation characteristic of Data Envelopment Analysis (DEA). And the feasibility of this method was verified through an example. This study offers a more rational basis for...
In risk evaluation of agent management projects, the critical factors which influence rationality of the result are how to estimate risk evaluation index weight and the measurement of risk index. For the risk evaluation index weight account, this thesis proposes risk index weight calculation method which combines AHP method and clustering methodology. This method reduces the anthropic factors of expert...
This paper investigates the relationship between Merger and Acquisition (M&A) investment and the financing decisions influenced by market uncertainty. The study has shown that the M&A debt capacity decision influences the M&A investment timing and price decision. We also find out that making the decision of M&A debt capacity is based upon evaluating its influences on the M&A value...
The risk management of IT outsourcing (ITO) has a significant influence on the success of outsourcing. The accuracy of risk assessment directly impacts the effectiveness of risk management. For the characteristics of ITO, a Bayesian network method for evaluating ITO risk is proposed in this article. The Interpretive structural modeling is used to construct the network structure diagram and risk probabilities...
This study uses data envelopment analysis (DEA) to evaluate the operational efficiency of 50 Chinese open-end funds, and makes a comparative analysis of selected fundspsila operational efficiency according to the fund size, investment type and investment style from the perspective of the overall and division. The result showed that bond funds had the maximum and stable average efficiency, hybrid funds...
The stable prices rose in the real estate market attracted a large amount of funds injected into it, to choose a good investment environment has been a keyto get profit from investment. In this paper, a Support Vector Machine (SVM) model is founded to do the evaluation. Based on the comprehensive evaluation index system of real estate investment environment, Rough set (RS) is introduced to reduce...
This article firstly analyzes the lessor's default risk and necessity of reasonably determining margin money in financing lease, then expounds the method to measure default risk by probability of default, and establishes the model to calculate net profit and model to calculate margin money based on default risk. Finally, a numerical example is used to test the model. The results show that the application...
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