Volume 2 Issue 6
Authors: Jiali Ding; Xiangdong Liu
Abstract: In a model setting of Stackelberg game between manufacturer and retailer under multiplicative stochastic market demand shock of uniform distribution, this paper solves the channel optimization for the two parties by not only considering the cost and sharing structure in the supply chain such as channel costs, efficiency, revenue sharing and sales allocation, but also incorporating the channel marketing efforts into the demand function as an endogenous factor. We offer the optimal marketing efforts solution and channel choice for manufacturer and retailer, and we show how the optimal choices and the equilibrium profits will be influenced by the channels’ cost and sharing structure between the two parties. We find that while both parties will benefit from single channel under medium levels of revenue share ratio, both parties will benefit from dual-channel as long as the operation cost of the direct channel is lower than certain threshold which is actually independent of the demand fluctuation.
Keywords: Marketing Efforts; Channel Optimization; Stochastic Demand; Supply Chain Management; Operation Research
Authors: Yun-na Wu; Yi-li Han; Narenmandula
Abstract: In the optimizing process of site selection for a nuclear power plant, engineering technicians often face the problems of selecting the most appropriate plan which meets the technical requirements. The uncertainties of various factors involved in the nuclear power plant site selection influence on the ultimate practical power generation as well as imposing a threat on the safety and stable operation of equipment units. The study on the site selection for a nuclear power plant, therefore, becomes the crucial job for the current engineering technicians. At present, even no comprehensive evaluation method which is practically and widely used appears in the field of site selection for a nuclear power plant. In order to solve the problem of the most proper plan for site selection of a nuclear power plant in the area of engineering construction, this article adopts the fuzzy mathematical theory, and suggests a combination of fuzzy comprehensive evaluation and analytical hierarchy process to determine the best plan for site selection of a nuclear power plant.
Keywords: Nuclear Power Plant Site Selection; Fuzzy Comprehensive Appraisal; Analytical Hierarchic Theory
Authors: Hongxing Tu; Xu Xiao
Abstract: By introducing the relationship between DFL and ICR, the paper proposes a new model for analyzing financing risk management. Based on the data of Chinese industrial companies in 2010, the study affirms that there exists the best liability structure which can keep a highest income and least risk. The results will provide some theoretical references for business operators to make financial decision.
Keywords: Debt Operating; Financial Leverage; Risk Management
Authors: Lianguang Mo; Zheng Xie
Abstract: In order to prevent the financial risks of enterprises effectively, the risks evaluation is of great importance. This paper analyses the main factors that affect enterprise financial risks by using the T-test and nonparametric test in statistical software SPSS15.0 and the gray relevance theory (GRA). These factors are considered as the input variables of BP neural network and 56 enterprises are selected as samples to be trained and tested. The results show that featured by fast speed and high prediction accuracy, this model serves as an efficient and practical method for the evaluation of enterprise financial risks in our country.
Keywords: Financial Risks; Gray Relevance; BP Neural Network; Evaluation
Authors: Lianguang Mo; Zheng Xie
Abstract: Artificial neural network (ANN) has been successfully applied into the engineering quality evaluation. With high robustness and fault-tolerant ability, this method works much better than multiple discriminant analysis (MDA) and logistic regression. In order to settle the traditional BP neural network’s problem of slow convergence speed and running into the local least value easily while estimating the engineering cost, the genetic neural network (GNN) is proposed as the estimation method in this paper. By combining the advantages of both genetic algorithm (GA) and NN, the new algorithm has not only the global random searching ability, but also the learning ability and robustness. In view of the defects of traditional error BP algorithm, chromosome coding is used to optimize the weight, the threshold and other main parameters of neural network. In addition, simulation test is used to test the stableness as well as the effectiveness of the network. The results show that this algorithm has high practicability and can be extensively applied in the estimation of engineering cost.
Keywords: Genetic Algorithm; BP Neural Network; Evaluation Index System; Quality Evaluation
Authors: Andhe Dharani; Aniruddha Biswas; Vijayalaksmi M N; Vijay Singh
Abstract: Advances in microelectronics has seen a tremendous increase in the deploy ability of low cost miniature battery operated sensor nodes. Sensors in these applications are expected to be remotely deployed in large numbers and to operate autonomously in unattended environments. With each advancement the size of the node and the battery is inversely proportional to the challenge for the network engineers to make algorithms more energy efficient .that is with reduced battery size the challenge to utilize the power efficiently has increased by leaps and bounds .In this paper we would be presenting a new routing scheme for the scalability of the nodes in the cluster networks.
Keywords: Clusterhead Assortments; Leach; Head; WSN
Authors: Yasushi Kambayashi; Hidemi Yamachi; Munehiro Takimoto
Abstract: This paper presents feasibility studies for a robotic intelligent cart system designed to be used in common airports. The framework provides novel methods to control carts using mobile software agents. In airport terminals, it is desirable that carts draw themselves together automatically after being used so that manual collection becomes less laborious. In order to avoid excessive energy consumption by the carts, we employ mobile software agents and RFID to locate carts scattered in a field and cause them to autonomously determine their moving behaviour using clustering method based on the ant colony optimization (ACO) algorithm. We have implemented a simulator that produces the route and waiting timing for each cart, thus produces the precise instructions that each cart follows. Upon confirming our robots effectively assembled, we have started to extend our ACO algorithm so that the cart robots are not only getting together but also serialized as they assemble. We report the observations we have obtained from the experiments.
Keywords: Mobile Software Agent; Automonous System; Ant Colony Optimization; Ant colony Clustering; RFID; Simulation
Authors: Panagiotis k. Gkonis; Dimitra I. Kaklamani
Abstract: The goal of the study presented in this paper is to investigate the capacity of Wideband Code Division Multiple Access (WCDMA) multicellular networks under two different Admission Control (AC) strategies (cell and system based). The system employs a fixed grid of beams (FGoB) for each cell up to the first tier of cells. Unlike other studies, intercell interference is modelled analytically with the help of large-scale system level simulations that include up to four tiers of cells around the central cell. Due to the increased complexity of the problem as there is high number of effective sectors and loading in cells, a grid-enabled WCDMA system level simulator has been developed executing independent Monte Carlo (MC) simulations in parallel. Simulation results show that there can be significant variations in capacity resulting from the differences in the interference suppression mechanism among the AC strategies. For 50% and 90% loading, the capacity with the system based AC can be more than 300% and 50% higher, respectively, compared to the capacity with the cell-based AC. This gain however comes at the cost of increased blocking probability.
Keywords: WCDMA; Capacity; System Level Simulations