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Chengdu, China

Southwestern University of Finance and Economics or SWUFE is a prominent national university located in Chengdu, China. It is one of the top 3 specialist finance and economic universities under direct administration of the Ministry of Education and has been selected as a Project 211 and 985 Innovative Platforms for Key Disciplines Project university by the Chinese government as part of the national endeavor to build world-class universities in the 21st century. Wikipedia.

Zou G.L.,Southwestern University of Finance and Economics
Energy Policy | Year: 2012

To reduce its consumption of coal and oil in its primary energy consumption, China promotes the development of renewable energy resources. I have analysed the long-term relationship among China's primary energy consumption sources. Changes in coal consumption lead those in the consumption of other energy sources in the long term. Coal and oil fuels substitute for each other equally. The long-term elasticities of China's coal consumption relative to its hydroelectricity consumption were greater than one and nearly equal during the two sample periods. Therefore, increased hydroelectricity consumption did not imply a reduction in coal consumption. China holds abundant hydroelectricity, wind and, solar energy potential. China must prevent an excessive escalation of its economy and resultant energy demand to realise a meaningful substitution of coal with hydroelectricity. Moreover, China must develop and use wind and solar energy sources. Natural gas can be a good substitute for coal, given its moderate price growth and affordable price levels. © 2012 Elsevier Ltd. Source

Lu Y.,Pennsylvania State University | Yang D.,Southwestern University of Finance and Economics
Decision Support Systems | Year: 2011

This study proposes a model to examine the mechanism by which social capital contributes to information exchange in virtual communities. A hierarchical model is employed to analyze data from survey and online networks in the context of a major natural disaster. Results suggest that structural capital has a significant effect on cognitive capital, but it has no effect on relational capital. Cognitive capital shows a significant effect on relational capital. This research also finds that structural capital increases information quantity, whereas relational capital and cognitive capital increase information quality. This study reveals the characteristics of online social networks and then proposes socio-technical design principles to address the communication challenges under uncertain emergency. © 2010 Elsevier B.V. All rights reserved. Source

Meng D.,Southwestern University of Finance and Economics | Pei Z.,Xihua University
Information Sciences | Year: 2013

We generalize linguistic evaluation values and their weights in group decision-making (GDM) problems based on unbalanced linguistic terms. The GDM problems include two types of weights: belief degrees of linguistic evaluation values and experts' weights. Due to the time pressure and conflict of multi-source of information, etc., experts may have various evaluations values on alternatives. The belief degree is used to represent the confidence level of the values. The experts' weight is used to represent the differences among experts' importance which caused by experts' experience or knowledge distinction. We propose the weighted unbalanced linguistic aggregation operators to synthesize linguistic evaluation value, belief degree and experts' weights. Some desired properties of the operator are then studied, these properties show that the operator extends the linguistic weighted averaging operator (LWA) and the linguistic ordered weighted averaging (LOWA) operator. Finally, an illustrative example of human resource performance appraisal based on the linguistic aggregation operator is provided. © 2012 Elsevier Inc. All rights reserved. Source

Wu J.,Southwestern University of Finance and Economics | Chan Y.-L.,Asia University, Taiwan
International Journal of Production Economics | Year: 2014

In practice, a credit-worthy retailer frequently receives a permissible delay on the entire purchase amount without collateral deposits from his/her supplier (i.e., an up-stream full trade credit). By contrast, a retailer usually requests his/her credit-risk customers to pay a fraction of the purchase amount at the time of placing an order, and then grants a permissible delay on the remaining balance (i.e., a down-stream partial trade credit). In addition, many products such as blood banks, pharmaceuticals, fruits, vegetables, volatile liquids, and others deteriorate constantly and have their expiration dates. However, not many researchers have taken the expiration date of a deteriorating item into consideration. The purpose of this paper is to establish optimal lot-sizing policies for a retailer who sells a deteriorating item to credit-risk customers by offering partial trade credit to reduce his/her risk. The proposed model is a generalized case of many previous models. By applying theorems in pseudo-convex fractional functions, we can easily prove that the optimal solution not only exists but is also unique. Moreover, we propose three discrimination terms, which can easily identify the optimal solution among all possible alternatives. Finally, some numerical examples are presented to highlight the theoretical results and managerial insights. © 2014 Elsevier B.V. All rights reserved. Source

Xiao H.,Southwestern University of Finance and Economics | Peng R.,University of Science and Technology Beijing
Computers and Industrial Engineering | Year: 2014

This article considers the optimal allocation and maintenance of multi-state elements in series-parallel systems with common bus performance sharing. The surplus performance from a sub-system can be transmitted to any other sub-system which is experiencing performance deficiency. The amount that can be transmitted is subjected to a random transmission capacity. In order to increase the system availability, maintenance actions can be performed during the system lifetime and the system elements can be optimally allocated into the sub-systems. In this paper, we consider the element allocation and maintenance simultaneously in order to minimize the total maintenance cost subject to the pre-specified system availability requirement. An algorithm based on universal generating function is suggested to evaluate the system availability and the genetic algorithm is explored to solve the optimization problem. Numerical experiments are presented to illustrate the applications. Source

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