{"title":"A Model on Emergency Resource Dispatch under Random Demand and Unreliable Transportation","authors":"Xiang Li , Yongjian Li","doi":"10.1016/j.sepro.2012.04.039","DOIUrl":"10.1016/j.sepro.2012.04.039","url":null,"abstract":"<div><p>This paper develops an emergency resource dispatching model in which the demand for resource is random and the transportation channel can be unreliable. There is also a reliable but more costly transportation channel. A basic model is set up to optimize the expected total costs while ignoring the capacity constraint of reliable channel and the demand fill rate. We derive analytical solutions for the basic model and obtain managerial insights from them. The model is extended to incorporate the capacity constraint of reliable channel and the prescription of demand fill rate. A multi-period model framwork is also established on a more realistic multi-period situation.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 248-253"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85298152","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":"Effect Evaluation of Construction Engineerization Management for Military Projects","authors":"Wang Shuqiang , Wang Qiankun","doi":"10.1016/j.sepro.2011.11.041","DOIUrl":"10.1016/j.sepro.2011.11.041","url":null,"abstract":"<div><p>In order to solve batch construction problems of military projects with specific attributes, this paper proposes the engineerization management method, discusses the connotation and main contents of engineerization management, and applies the DEA method in effect evaluation of engineerization management for the first time. The authors establish the DEA model of single aircraft shelter engineering, analyse the calculation results. The research has both theoretical value and operability of practice. It also has reference value to some civil project management that satisfies the conditions of engineerization.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 351-356"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73116536","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}
Manzhen Duan , Lin Zhang , Hongmei Jia , Huiyun Cao
{"title":"Arranging Transportation Schedule Scheme of Bulk Goods Based on Tabular Method","authors":"Manzhen Duan , Lin Zhang , Hongmei Jia , Huiyun Cao","doi":"10.1016/j.sepro.2011.10.058","DOIUrl":"10.1016/j.sepro.2011.10.058","url":null,"abstract":"<div><p>Tabular method is commonly used to solve ring travel route of bulk goods. Generally, it is used to describe the solution process of tabular method, but how to use the optimum value to arrange vehicle schedule scheme is not discussed in depth. In this paper, basic suppositions of the model were put forward; mathematical model is established according to the characteristic of bulk goods transportation. One reasonable way to arrange schedule scheme is proposed based on the optimum of the tabular method, which can provide a good way to solve the problem of transport schedule in the practice for Transportation Engineering.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 367-371"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.10.058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73817881","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}
Liangshan Shao , Yuan Bai , Yunfei Qiu , Zhanwei Du
{"title":"Particle Swarm Optimization Algorithm Based on Semantic Relations and Its Engineering Applications","authors":"Liangshan Shao , Yuan Bai , Yunfei Qiu , Zhanwei Du","doi":"10.1016/j.sepro.2012.04.035","DOIUrl":"10.1016/j.sepro.2012.04.035","url":null,"abstract":"<div><p>Particle swarm optimization algorithm (PSO) is a good method to solve complex multi-stage decision problems. But this algorithm is easy to fall into the local minimum points and has slow convergence speed, According to the semantic relations, an improved PSO algorithm has been proposed in this paper. In contrast with the traditional algorithm, the improved algorithm is added with a new operator to update its crucial parameters. The new operator is to find out the potential semantic relations behind the history information based on the ontology technology. Particle swarm optimization can be applied to many engineering fields, taking Traveling Salesman Problem (TSP) as example. Our experiments show accuracy of the improved particle swarm algorithm that is superior to that obtained by the other classical versions, and better than the results achieved by the compared algorithms, besides, this improved algorithm can also improve the searching efficiency.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 222-227"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77548952","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":"Expert System of Fault Diagnosis for Gear Box in Wind Turbine","authors":"YANG Zhi-Ling, WANG Bin, DONG Xing-Hui, LIU Hao","doi":"10.1016/j.sepro.2011.11.065","DOIUrl":"10.1016/j.sepro.2011.11.065","url":null,"abstract":"<div><p>Gear box is one of the key components in wind turbine. To make timely and accurate diagnosis for gear box, an expert system based on fault tree analysis is developed in this paper. Firstly, a fault tree model is established in accordance with the structural features of wind turbine gearbox. On basis of the fault tree model, qualitative analysis and quantitative analysis of the gearbox faults are carried out afterwards. Finally, a Web-oriented expert system is developed by C# on the .NET platform which will save the fault diagnosis time significantly and make the expert solution for the fault of gear box to achieve the precise and quick maintenance more effectively.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 189-195"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89158071","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":"The Intuitionistic Fuzzy Sets on Evaluation of Risks in Projects of Energy Management Contract","authors":"Jingmin Wang, Yanfu Sun","doi":"10.1016/j.sepro.2011.11.004","DOIUrl":"10.1016/j.sepro.2011.11.004","url":null,"abstract":"<div><p>This article describes the mechanism of energy management contract and the status of implementation of energy engineering projects in China's enterprises, takes the energy management contract projects as study object, and analyzes the risks of projects systematically. These risks include policy risk, financial risk, operational risk, efficiency risk and market risk. On this basis, this article discusses the risk evaluation index system of energy management contract project, proposes the analytic hierarchy process (AHP) and intuitionistic fuzzy sets to evaluate the risks of energy management contract project, then puts up with a quantitative method for the energy management contract companies.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 30-35"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73003377","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-Firms’ Product Innovation Diffusion Engineering Model in Dynamical Competition","authors":"Cao Hongxing , Yang Pengfei","doi":"10.1016/j.sepro.2011.11.033","DOIUrl":"10.1016/j.sepro.2011.11.033","url":null,"abstract":"<div><p>A continuing stream of new product development engineering is essential to ensure long-term companies’ health. The new product development process is the interactive effects among different companies’ engineering and marketing departments. At the final step of the commercialization, successful diffusion of innovations plays a key role in a dynamic competitive environment, needing the corporation of internal and external engineers, marketing people and right diffusion strategy making. The previous research build one-dimensional, two-dimensional, and three-dimensional product diffusion model of competing product in one market, which is conflict with the reality thus limit the application. This paper establishes a general mathematical model on multi-firms’ competition, extending three-dimensional model to multi-dimensional competition systems in a dynamical environment. The model assumes that there are many firms in the product life cycle and they are in an intense competition. Based on this new model, we demonstrate various diffusion strategies for firms of different size. The research result is consistent with Bass’ model. However, this paper set up a bridge by linking the micro-firms level with the macro-industry level in one product innovation engineering diffusion process. The theoretical discussion and managerial implications are provided at the end of the paper.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 297-306"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73562321","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":"Z-score Model on Financial Crisis Early-Warning of Listed Real Estate Companies in China: a Financial Engineering Perspective","authors":"Wang Yi","doi":"10.1016/j.sepro.2011.11.021","DOIUrl":"10.1016/j.sepro.2011.11.021","url":null,"abstract":"<div><p>Financial engineers developed quantitative models that help firms making financial decisions in the face of risk and uncertainty. Z-score model is one of the most frequently used risk early warning models in financial engineering, but it needs further research to prove whether it is suitable for China's burgeoning real estate enterprises. The financial data of China's 40 listed real estate companies is processed in this article, and statistic analysis is conducted, so as to judge the effectiveness of Z-score model on financial risk early warning of China's listed real estate companies.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 153-157"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86443453","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}
Satyakama Paul , Bhekisipho Twala , Tshilidzi Marwala
{"title":"Organizational adaptation to Complexity: A study of the South African Insurance Market as a Complex Adaptive System through Statistical Risk Analysis","authors":"Satyakama Paul , Bhekisipho Twala , Tshilidzi Marwala","doi":"10.1016/j.sepro.2011.11.043","DOIUrl":"10.1016/j.sepro.2011.11.043","url":null,"abstract":"<div><p>South Africa assumes a significant position in the insurance landscape of Africa. The present research based upon qualitative and quantitative analysis, shows that it shows the characteristics of a Complex Adaptive Engineering System. In addition, a statistical analysis of risk measures through Value at risk and Conditional tail expectation is carried out to show how an individual insurance company copes under external complexities. The authors believe that an explanation of the coping strategies, and the subsequent managerial implications would enrich our understanding of complexity in business.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 1-8"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74258384","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}