The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Jing Zhao - One of the best experts on this subject based on the ideXlab platform.
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reverse channel decisions for a Fuzzy closed loop supply chain
Applied Mathematical Modelling, 2013Co-Authors: Jie Wei, Jing ZhaoAbstract:Abstract This article reports the results of a study that explores the decisions of reverse channel choice in a Fuzzy closed-loop supply chain. Specifically, a manufacturer produces new products by using original components or by remanufacturing used products and wholesales the new products to the retailer who then sells them to the consumers. The used products are collected by the manufacturer or the retailer or a third party. The primary goal of this paper is to investigate the implications of three different used-product collection modes on the decisions of the manufacturer, the retailer, and the third party, and on their own profits in the expected value model. By using game Theory and Fuzzy Theory, the firms optimal strategies are obtained.
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pricing decisions with retail competition in a Fuzzy closed loop supply chain
Expert Systems With Applications, 2011Co-Authors: Jie Wei, Jing ZhaoAbstract:The optimal pricing decision problem of a Fuzzy closed-loop supply chain with retail competition is considered in this paper. The fuzziness is associated with the customer demands, the remanufacturing cost and the collecting cost. By using game Theory and Fuzzy Theory, the optimal decision on wholesale price, retail prices and remanufacturing rate are explored respectively under the centralized and the decentralized decision scenarios, and the expressions for them are also established. Some insights into the economic behavior of firms are given, which can serve as the basis for further study in the future.
Jie Wei - One of the best experts on this subject based on the ideXlab platform.
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reverse channel decisions for a Fuzzy closed loop supply chain
Applied Mathematical Modelling, 2013Co-Authors: Jie Wei, Jing ZhaoAbstract:Abstract This article reports the results of a study that explores the decisions of reverse channel choice in a Fuzzy closed-loop supply chain. Specifically, a manufacturer produces new products by using original components or by remanufacturing used products and wholesales the new products to the retailer who then sells them to the consumers. The used products are collected by the manufacturer or the retailer or a third party. The primary goal of this paper is to investigate the implications of three different used-product collection modes on the decisions of the manufacturer, the retailer, and the third party, and on their own profits in the expected value model. By using game Theory and Fuzzy Theory, the firms optimal strategies are obtained.
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pricing decisions with retail competition in a Fuzzy closed loop supply chain
Expert Systems With Applications, 2011Co-Authors: Jie Wei, Jing ZhaoAbstract:The optimal pricing decision problem of a Fuzzy closed-loop supply chain with retail competition is considered in this paper. The fuzziness is associated with the customer demands, the remanufacturing cost and the collecting cost. By using game Theory and Fuzzy Theory, the optimal decision on wholesale price, retail prices and remanufacturing rate are explored respectively under the centralized and the decentralized decision scenarios, and the expressions for them are also established. Some insights into the economic behavior of firms are given, which can serve as the basis for further study in the future.
Yuying Yang - One of the best experts on this subject based on the ideXlab platform.
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a novel routing strategy based on Fuzzy Theory for ngeo satellite networks
Vehicular Technology Conference, 2015Co-Authors: Chonghua Liu, Zhuqing Jiang, Xinmeng Liu, Yuying YangAbstract:Non-geostationary (NGEO) satellite networks have a series of advantages over terrestrial networks. However, traditional routing algorithms such as the Dijkstra's Shortest Path (DSP) algorithm always lead to some Inter-Satellite Links (ISLs) heavily loaded. To guarantee a better distribution of traffic among satellites, this paper proposes a Fuzzy Satellite Congestion Indicator (FSCI) to estimate congestion status among neighboring satellites. Indeed, a satellite notifies its neighboring satellites of its FSCI. When it is about to get congested, it requests its neighboring satellites to decrease their data forwarding rates by sending them a self status notification signaling message. In response, the neighboring satellites search for less congested paths according to Fuzzy Route Determination. The routing strategy discussed above is Fuzzy Satellite Routing(FSR). This routing algorithm avoids both congestion and packet drops at the satellite. It also ensures a better traffic distribution over the entire satellite constellation. The mechanism of multiple traffic classes is also discussed in FSR. The good performance of FSR, in terms of short end-to-end delay, higher throughput, and lower packet drops, is verified via a set of simulations using the Network Simulator 2 (NS2).
Muhammad Junaid Khan - One of the best experts on this subject based on the ideXlab platform.
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dynamic evaluation of drilling leakage risk based on Fuzzy Theory and pso svr algorithm
Future Generation Computer Systems, 2019Co-Authors: Haibo Liang, Jialing Zou, Muhammad Junaid KhanAbstract:Abstract In recent years, artificial intelligence has gradually penetrated into various fields, and has become a research hotspot. The modern industrial upgrades and transformation of the petroleum industry, makes it closer to the direction of intelligence. For the research of drilling risk evaluation, choosing the right evaluation model to achieve real-time risk dynamic evaluation which is important for risk judgment and response time. However, drilling system never considered as a complex system in the research of drilling risk assessment. When the sensor of the well site collects the relevant parameters, the remote monitoring system carries on the real-time data analysis, because of the instrument or transmission process, the drilling parameters appear fuzziness and randomness. To realize real time dynamic evaluation of drilling risk this paper proposed a Fuzzy multilevel algorithm based on Particle swarm optimization (PSO) to optimize Support vector regression machine(SVR), and takes drilling leakage risk as an example. And two main objectives has been achieved. The first is to establish a Fuzzy multi-level drilling leak risk evaluation system. The second is to use the PSO-SVR algorithm to study the risk evaluation results and realize the real-time dynamic risk evaluation. This paper first summarizes the characterization phenomena and laws of the occurrence of acquisition and loss parameters, and uses this as an indicator to establish a multi-level index system for risk assessment. Second, combined with Fuzzy Theory, a risk assessment model is established. And in final, the parameters C and g of the SVR model are optimized by using the SVR algorithm improved by PSO, which solves the problem that the parameters such as penalty factor c , kernel function k and sensitivity coefficient e are difficult to select in the traditional SVR model, improves the accuracy of the model, and realizes more accurate real-time dynamic evaluation of risk. The algorithm proposed in this paper achieves two goals. Taking the XX oilfield as an engineering example, the results show that the accuracy of the PSO-SVR model can reach 99.99%, with high convergence degree, which is obviously higher than that of the multilayer perceptron neural network model.
Ana Paula Cabral Seixas Costa - One of the best experts on this subject based on the ideXlab platform.
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a multidimensional approach to information security risk management using fmea and Fuzzy Theory
International Journal of Information Management, 2014Co-Authors: Maisa Mendonça Silva, Ana Paula Henriques De Gusmao, Thiago Poleto, Lucio Camara E Silva, Ana Paula Cabral Seixas CostaAbstract:We proposed an approach to information security risk management, encompassing Failure Mode and Effects Analysis (FMEA) and Fuzzy Theory.This approach analyses five dimensions of information security.A numerical application was undertaken. Because of the evolution and widespread use of the Internet, organisations are becoming more susceptible to attacks on Information Technology Systems. These attacks result in data losses and alterations, and impact services and business operations. Therefore, to minimise these potential failures, this paper presents an approach to information security risk management, encompassing Failure Mode and Effects Analysis (FMEA) and Fuzzy Theory. This approach analyses five dimensions of information security: access to information and systems, communication security, infrastructure, security management and secure information systems development. To illustrate the proposed model, it was applied to a University Research Group project. The results show that the most important aspects of information security risk are communication security, followed by infrastructure.
