{"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":"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":"Complex networks economy systems engineering in general synergetic structure","authors":"Quanyong Bai , Dongxiao Niu , Jia Bai","doi":"10.1016/j.sepro.2011.11.073","DOIUrl":"10.1016/j.sepro.2011.11.073","url":null,"abstract":"<div><p>In this paper, we created and proposed general synergetic structure theory. Based on that it was combined and applied with the research method of Ising and Potts model, we abstractly and initially illustrated all kinds of agglomeration economy phenomena in the complex networks economy space, with economy force and economy growth momentum of general nonlinear economy control systems engineering. Certainly we had to used the research methods of Steiner minimum weighted networks researching in the abstracted paths of complex economy networks, demonstrating agglomeration economy groups united and split, and firstly found out the relation between economy force and economy growth momentum applied to reveal the situation of agglomeration economy.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 252-258"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82795420","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":"Size and Location of Distributed Generation in Distribution System Based on Immune Algorithm","authors":"Ma Junjie, Wang Yulong, Liu Yang","doi":"10.1016/j.sepro.2011.11.057","DOIUrl":"10.1016/j.sepro.2011.11.057","url":null,"abstract":"<div><p>Distributed generation can enhance energy efficiency, postpone the construction investment of distribution network, and reduce environmental costs. On the contrary, DG may also disturb the system stability. The paper proposes a dynamic model of distributed generation in the smart grid, based on environmental compensation costs, traditional DG capacity cost, DG operation and maintenance costs, purchased power cost and network loss cost. The model can reflect the DG environment-friendly features. Considering load growth, the planning problem is divided into different periods which can be solved by using the dynamic programming method, and the planning result of next period has effects on the previous one. This solution can reflect the dynamic characteristics of network planning and avoid wasting resources. Taking the immune algorithm (IA) and IEEE30-bus system as the example, the results show that the proposed model can effectively resolve the DG planning problem in smart grid and get the DG dynamic programming optimal solution.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 124-132"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80093806","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":"Grey Clustering Analysis Method for Overseas Energy Project Investment Risk Decision","authors":"Liu Ke , Shen Xiaoliu , Tan Zhongfu , Guo Wenyan","doi":"10.1016/j.sepro.2011.11.008","DOIUrl":"10.1016/j.sepro.2011.11.008","url":null,"abstract":"<div><p>An intelligent decision-making method has been put forward to deal with overseas project loans decision-making, which is based on grey clustering analysis method. The grey clustering analysis is an algorithm based on the risk classification causes risk index system which clusters risk of harm degree into grey clustering risk index system, and realizes the decision overseas project loans to measure the risk accurately, and also can measure the results as a sample data set clustering analysis to get to the loan plan for clustering center decision model to complete the project implementation plan outside loans. The effectiveness of the method through the contrast experiment has been validated.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 55-62"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85806669","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":"Discrete-Event Simulation Engineering in Evaluation of Medical Treatment Capability Against Biochemical Terrorist Attacks","authors":"Juyun Wang , Cheng Jiang , Hua Yu","doi":"10.1016/j.sepro.2012.04.042","DOIUrl":"10.1016/j.sepro.2012.04.042","url":null,"abstract":"<div><p>Large-scale victims would flock to the nearest hospital in a short period of time against biochemical terrorist attacks. It better treat these victims within the “Golden Hour” as more as possibly. In this paper, we proposed a new method to predict the medical treatment capability with two steps. First of all, we built a model to calculate the number of victims arriving in hospital with Monte Carlo Simulation engineering method, and then simulated this model to generate the victims-flow arriving in hospital and made chi-square test to find out that these data distribution follow Poisson distribution approximately. Secondly, we built another model to calculate the medical treatment capability based on the generated data from the first simulation. As a result, we can get the capability and main factors influencing it. The parameters in these models and procedures can be adjusted depending on specific scenarios, so that they can be integrated in decision support systems of relevant engineering areas and play an auxiliary role for decision-makers in an emergency management.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 266-275"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76351818","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}
{"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":"Study on Scrap Automobile Manufacturers Reverse Logistics Partners Base on Evaluation Engineering","authors":"Fang Xi , Wen-qi Jiang","doi":"10.1016/j.sepro.2012.04.034","DOIUrl":"10.1016/j.sepro.2012.04.034","url":null,"abstract":"<div><p>Combined with the characteristics of automobile manufacturers, the evaluation index system of reverse logistics partner was constructed including cost, environment performance, service capacity and basic quality of the enterprise, then a new method of aggregating weight of the above indexes is supported, and TOPSIS method is used to evaluate the several partners.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 213-221"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82381263","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}