{"title":"Study on Optimization of Denitration Technology Based on Gray-fuzzy Combined Comprehensive Evaluation Model","authors":"Jianguo Zhou, Yingxue Wang, Bin Li","doi":"10.1016/j.sepro.2011.11.068","DOIUrl":"10.1016/j.sepro.2011.11.068","url":null,"abstract":"<div><p>This paper establishes a combined evaluation model on the basis of Fuzzy Comprehensive Evaluation and Gray Relational Analysis. Through Fuzzy Comprehensive Evaluation it achieves the reasonable conversion from qualitative to quantitative and through Gray Relational Analysis it sets the weight of each index, which making sure that the evaluation model is scientific and rational. Then, with the combined evaluation model, it evaluates the performance of SCR, SNCR, SNCR/SCR which are relatively more mature flue gas denitrification technology. The evaluation result verifies the effectiveness and practicality of the model. And meanwhile, it could be a valuable reference for the promotion of the denitration devices and the formulation of the denitration price. At last, it provides a powerful guarantee to the power engineering construction.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 210-218"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80039177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Financial Engineering Estimation Methods of Minimum Risk Hedge Ratio","authors":"Zheng Yao, Haiyan Wu","doi":"10.1016/j.sepro.2011.10.027","DOIUrl":"10.1016/j.sepro.2011.10.027","url":null,"abstract":"<div><p>As an important tool to circumvent the systemic risks in financial engineering, the key for achievement of the performance of stock index futures is dependent on determination of the hedge ratio (HR). In this paper, the minimum risk-based portfolio hedging model is first analyzed. It is then followed by the investigation on various major estimation methods for the minimum risk hedge ratio. Aiming at the newest Shanghai and Shenzhen (HS) 300 index futures hedge, the empirical analyses are eventually performed for the hedge strategies, thus validating the application of these different estimation methods in China's market. The results revealed in the current study show that the HR obtained by the ordinary least squares (OLS) model is maximal and the out-of-sample hedging performance is the best; however, the hedging effectiveness is not sufficiently stable for both the out-of-sample and in-sample estimation. In addition, the in-sample hedging performance accomplished through the bivariate vector autoregression (B-VAR) model is superior to those achieved via other methods. It is manifested further from the results that the HR determined by the error correction (EC) model is minimal and the hedging performances for both the out-of-sample and in-sample data are weak, yet the hedging effectiveness for both of them is stable.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 187-193"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.10.027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87002999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Safety Risk Analysis in Flight Operations Quality Assurance","authors":"Shao Xueyan, Qi Mingliang, Gao Mingang","doi":"10.1016/j.sepro.2012.04.013","DOIUrl":"10.1016/j.sepro.2012.04.013","url":null,"abstract":"<div><p>Flight data recorded by Quick Access Recorder (QAR) is gradually used to analyze pilot's operations quality, especially for the QAR exceedances. In this paper, we use the values of flight parameters to construct the state-space of pilots’ operations. A flight is seen as a point in it. Basing on the distributions of normal flights and flights triggering an exceedance, risk analysis is carried out to divide this state-space into dangerous and safety regions. A multi-objective programming is established to analyze the safety risk in pilot's operations and we use Particle Swarm Optimization (PSO) to find the boundaries of regions-of-interest. The feasibility of this method is validated through experiments with real flight data.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 81-86"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88971618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaohua Song, Lixiao Wang, Dongxiao Niu, Pie Zu, Yiwei Guo
{"title":"on Merging the Wind Power Equipment Manufacturing Enterprises into the Wind Power Generation Engineering Group","authors":"Xiaohua Song, Lixiao Wang, Dongxiao Niu, Pie Zu, Yiwei Guo","doi":"10.1016/j.sepro.2011.11.061","DOIUrl":"10.1016/j.sepro.2011.11.061","url":null,"abstract":"<div><p>As one of the most important follow-up energy sources, wind energy has a good prospect. Wind power equipment manufacturing industry is at the upstream level of the wind power industry chain. The development of the wind power industry is inseparable from the wind power equipment, which promotes the development of the wind power equipment manufacturing industry. The wind power generation engineering group chooses the right time to go into wind power equipment manufacturing industry, which will be conducive to the development of the wind power industry of China, corresponds with the development of the wind energy of China and conforms to the trends new energy strategy. This article constructs a framework of the feasibility study on merging a wind power equipment manufacturing enterprise into a power generation engineering group. From forecasting the prospects of the wind power equipment market, screening the target enterprises and analyzing the risk factors, the article argues that merging the wind power equipment manufacturing enterprises into power generation engineering group is feasible.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 161-167"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.061","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82171315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Decision Engineering Problem for Operating Diversification in Debt Financing Constraints","authors":"Yan Yang, Jiaju Yang","doi":"10.1016/j.sepro.2011.10.025","DOIUrl":"10.1016/j.sepro.2011.10.025","url":null,"abstract":"<div><p>This study examined the relationship between the capital structure of diversified companies and their diversification degree in different levels of financing constraint. After controlling the firm size, growth power as well as other variables which also have great impact on the financing structure decision of the company, we find out from the empirical results that the effects of diversification degree on capital structure are disparate for firms facing different financing constraints. For companies that are in extremely terrible solvency condition, the leverage ratio is negatively related to the diversification degree. While for companies that face less debt financing constraint, the leverage is positively related to diversification degree.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 179-186"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.10.025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77516653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of mean-VaR model for financial risk control","authors":"Zhou Sheng , Shi Benshan , Wen Zhongping","doi":"10.1016/j.sepro.2011.11.047","DOIUrl":"10.1016/j.sepro.2011.11.047","url":null,"abstract":"<div><p>Financial risk control is a kind of complicated system engineering. This paper studies validity of portfolio investment of the mean-VaR model under holding period condition. The model is analyzed through Lagrange multiplier method, and the portfolio weight of global minimum VaR is also given by the portfolio weight combined of minimum variance and maximum Sharpe ratio.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 40-45"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90792382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-stage Multi-objective Engineering Evaluation Method for the Ability of the Emergency Resources Reserve System","authors":"Juan Liu, Jianming Zhu, Jun Huang","doi":"10.1016/j.sepro.2012.04.007","DOIUrl":"10.1016/j.sepro.2012.04.007","url":null,"abstract":"<div><p>Emergency Plans play an important role in engineering emergency management. Evaluating the ability of the current resources reserve system is the first step of developing Emergency Plans, while the demand of affected areas are always different for different kinds and levels of the disasters. In this paper, we will present a multi-stage multi-objective evaluation model. Based on satisfaction function of resource, we consider both the amount and arriving time of resource arrived at each affected area. Because of the dynamic rescue process, the transportation scheme is multi-stage and we divide the emergency rescue period into three stages. Then a heuristic algorithm is proposed for the evaluation model. Computational results show both the model and algorithm are helpful when evaluating the ability of reserve resource system.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 43-48"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74659955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Models Responding to Large-area Flight Delays in Aviation Production Engineering","authors":"Mingang Gao, Hong Chi, Yuzhen Hu, Baoguang Xu","doi":"10.1016/j.sepro.2012.04.011","DOIUrl":"10.1016/j.sepro.2012.04.011","url":null,"abstract":"<div><p>Large-area flight delays have a serious impact on aviation safety and bring huge losses to airlines. Flight reschedulling is a classic aviation production engineering. Based on flight priority levels, models are built responding to large-area flight delays in this paper. The models adopt different rescheduling rules to flights in different status. Meanwhile they take the restraint of connection of flights and surplus flight time of IA flights (flights in the air) into account, which makes the model accord with practical situation. A case study is given which demonstrate the Effectiveness of the models. The models provide significant theoretical basis to airline flight rescheduling.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 68-73"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79614867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal Control of Two-Dam Hydro Facility","authors":"Matt Davison , Guangzhi Zhao","doi":"10.1016/j.sepro.2011.11.001","DOIUrl":"10.1016/j.sepro.2011.11.001","url":null,"abstract":"<div><p>This paper investigates optimal control strategies for the operations of a hydroelectric facility comprising two dams linked in series with a common reservoir receiving the outflow from the first dam and supplying the inflow to the second dam. We obtain some interesting insights about the behavior of these plants and compare the similarities and differences of the optimal pump-wait-release cycle between two-dam control and an otherwise similar one-dam control. In particular, we show that the electricity price plays a more important role in the control of two-dam systems than for a single dam.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 1-12"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75816582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis on Influencing Factors of Emergency Based on System Engineering","authors":"Li Hongxia, Cao Xian, Liu Wei","doi":"10.1016/j.sepro.2012.04.003","DOIUrl":"10.1016/j.sepro.2012.04.003","url":null,"abstract":"<div><p>In order to confirm the factors and the relationship between them in the development of emergency, the System Engineering analysis idea and graphical expression of vensim are used to explore the factors of emergency. The study shows that the emergency evolution process consists of three subsystems: security technology, human resource and environment, which influences each other. And, only these subsystems strengthen coordination, they can improve the management of emergency.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 15-20"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78927068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}