{"title":"Study on the Resource Allocation in Urban Defense Engineering with Intentional Threats","authors":"Hu Xiaofeng, Shen Shifei","doi":"10.1016/j.sepro.2012.04.032","DOIUrl":"10.1016/j.sepro.2012.04.032","url":null,"abstract":"<div><p>Intentional threats, which are also known as human-induced hazards including terrorism, have become a worldwide catastrophe risk since recent years. In order to protect city from intentional threats, the urban defense engineering has become an important part of urban planning and construction. Based on that, the security planning on urban infrastructure is required to be improved and corresponding security surveillance and early warning systems need to be enhanced. More importantly, the macro-level study of defense resource allocation should be given more considerations. In this study, a resource allocation model focusing on urban defense under the situation with intentional attacking is developed. In this resource allocation model, the rationality level of attackers, the interrelation among targets and other related problems under intentional attacks are all considered. Besides, this model is also validated by using an example, and in this example, the impact of several important parameters have been discussed. It is shown that the expected loss of the optimized resource allocation plan derived from this model is smaller than that of the population proportion-based allocation plan and average-based allocation plan. It also shows that the correlation coefficient of targets has a significant impact of the defense resource allocation. This model can provide the planners and decision makers of urban defense engineering with scientific basis for macroscopic decision making in responding to intentional threats.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 198-206"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89441572","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 stackelberg-game model in a two-stage supply chain","authors":"Yanhong Qin","doi":"10.1016/j.sepro.2011.11.029","DOIUrl":"10.1016/j.sepro.2011.11.029","url":null,"abstract":"<div><p>We set a stackelberg-game model of full postponement strategy in a two-stage supply chain made up of one manufacture and one distributor in the first place. We study the impact of decision variables, i.e. customization service price and promised customization time of distributor, final customized product price and promised delivery time of manufacture on the profit of manufacturer and distributor for industrial engineering.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 268-274"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90692266","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":"Logarithm Utility Maximization Portfolio Engineering with Bankruptcy Control: a Nonparametric Estimation Framework","authors":"Qing-hua Ma, Hai-xiang Yao, Shi-Yang Li","doi":"10.1016/j.sepro.2012.04.024","DOIUrl":"10.1016/j.sepro.2012.04.024","url":null,"abstract":"<div><p>Under the assumption that investors have the logarithm utility function, this paper adopts the methodology of nonparametric estimation and the expected utility maximization (EUM) model to explore a portfolio engineering problem with bankruptcy control. First, we obtain the nonparametric estimated calculation formula for expected utility by using the nonparametric estimation. Then, sequential quadratic programming (SQP) algorithm for the optimal investment strategy of the EUM model is given. Finally, a numerical portfolio engineering example based on real data of Chinese stock market is presented.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 150-155"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80672990","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 Two-stage Stochastic Programming Model for Emergency Resources Storage Region Division","authors":"Jing Wang , Haoxiong Yang , Jianming Zhu","doi":"10.1016/j.sepro.2012.04.020","DOIUrl":"10.1016/j.sepro.2012.04.020","url":null,"abstract":"<div><p>In recent years the frequent emergencies have become one of the important factors which influenced our social development. Emergency resources storage takes an important role in emergency management research which decides whether the disaster relief process can be carried out smoothly. However the emergency resources storage construction is a complicated project. This paper aims to study the regional emergency resources storage. We analyse the necessity of regional emergency resources storage and the first step of regional emergency resources storage system is region division. A two-stage stochastic programming model is proposed to solve the region division problem. Finally, we propose a case study to highlight efficiency of the proposed solution strategy.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 125-130"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73125185","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":"on Reallocation of Failed Project Resource Based on Priority","authors":"Ye Jianmu, You Shenbao, Zhang Jing","doi":"10.1016/j.sepro.2011.11.084","DOIUrl":"10.1016/j.sepro.2011.11.084","url":null,"abstract":"<div><p>Failed projects exist objectively and massively, and their real existence and potential values of their resources require for re-allocation. Nowadays more than 90% of the projects exist in the multi-project environment, and re-allocation of failed project resources is referred to the sort-order problem. Based on the theory of Earned Value, the article integrates three indexes: schedule, cost and quality through the introduction of Benefit/Penalty function and utilized function value to measure the implementation status of the project. According to the special nature of failed project resources, “relevance” factor needs to be put into consideration. In the end, case analysis shows the method can work out sort problems of re-allocation effectively.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 338-344"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.084","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72808313","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":"Problems of Mega-events Engineering Risk Management in China","authors":"Wang Shangjun , Zhang Xinjian","doi":"10.1016/j.sepro.2012.01.007","DOIUrl":"10.1016/j.sepro.2012.01.007","url":null,"abstract":"<div><p>Keep in pace with the 2008 Beijing Olympics and the 2010 Shanghai Expo, engineering events of different types and sizes are coming to China more than it had ever happened during years. Obviously, these could all cause safety problems. To organize the event perfectly, a lot of questions occur: How to provide the best safety to everyone participate in our event? How to deal with the emergencies during the event? These questions are the most important element of holding a successful event. This paper discusses the necessity of engineering risk management during events.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 431-437"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.01.007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73577271","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":"Applying the Grey Forecasting Model to the Energy Supply Management Engineering","authors":"Zhiqiang Chen, Xiaojia Wang","doi":"10.1016/j.sepro.2012.04.029","DOIUrl":"10.1016/j.sepro.2012.04.029","url":null,"abstract":"<div><p>The demand for energy supply has been increasing dramatically in recent years in the global. In addition, owing to the uncertain economic structure of the county, energy has a chaotic and nonlinear trend. In this paper, An improved grey G(1,1) prediction model is proposed to the energy management engineering. It is one approach that can be used to construct a model with limited samples to provide better forecasting advantage for long-term problems. The forecasting performance of the improved GM(1,1) model has been confirmed using the China's energy database. And the results, compared with those from artificial neural network (ANN) and times series. According to the experimental results, our proposed new method obviously can improve the prediction accuracy of the original grey model.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 179-184"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74453383","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}
Wang Xiang , Li Yunxian , Qian Zhenwei , Shen Zeliang
{"title":"Estimation of Crop Yield Distribution: Implication for Crop Engineering Risk","authors":"Wang Xiang , Li Yunxian , Qian Zhenwei , Shen Zeliang","doi":"10.1016/j.sepro.2011.11.018","DOIUrl":"10.1016/j.sepro.2011.11.018","url":null,"abstract":"<div><p>In this paper we use parametric and nonparametric density estimation procedures to evaluate crop yield distributions in Yunnan province. Akaike Information Criterion (AIC) is used to select a proper crop yield distribution. Maximum likelihood methods are explored to obtain reliable estimates. Furthermore, we propose a standard measure of crop engineering risk that is based on the expected loss of crop yield. Four major crops in Yunnan province based on pooled data over the period 1952-2009 are studied, and crop risks are analyzed.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 132-138"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74455600","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":"High Risk Management Model For The Power Enterprise Based on Rough Set Theory","authors":"Li Zhiyao, Wang Moyu, Ma Xinke, Shen Xiaoliu","doi":"10.1016/j.sepro.2011.11.009","DOIUrl":"10.1016/j.sepro.2011.11.009","url":null,"abstract":"<div><p>The traditional risk management model can’t process historical data efficiently, this paper proposed a high-risk customer management model based on rough set theory to solve this problem. In this paper we briefly analyze the characteristics and application of rough set, and then give a method to reduce the irrelevant indicators before generating rules. This method is based on the advantages of rough set in processing large scale data. The model combines risk management theory in engineering and rough set theory in a very good way to process the historical data. Finally this paper gives an experiment to illustrate how to establish and apply the proposed model.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 63-68"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74281589","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":"User Knowledge Acquisition in Automobile Engineering Styling Design","authors":"Xiang Yao, Hong-yan Hu, Jia Li","doi":"10.1016/j.sepro.2011.11.019","DOIUrl":"10.1016/j.sepro.2011.11.019","url":null,"abstract":"<div><p>This paper analyzed the main characteristics and role of qualitative and quantitative research in user research. Take Automobile Engineering design for example, probed how to get accurate description words of car styling image, using factor analysis, cluster analysis and other statistical methods, and verified the application methods and value of quantitative research applied in user knowledge acquisition.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 139-145"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77441791","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}