{"title":"Percolation criticality for complex networks","authors":"Xiaojing Zheng , Xusong Xu","doi":"10.1016/j.sepro.2011.11.090","DOIUrl":"https://doi.org/10.1016/j.sepro.2011.11.090","url":null,"abstract":"<div><p>A random Multi-Local-World complex networks directed model is constructed to mine the evolution laws of topological properties for this complex engineering system according to the rules about what the behaviors operate in complex system is gotten by calculating the avalanche-size distribution. It concludes that: It is the robustness and vulnerability that behaviors show at the same moment in complex system, when facing random attacking and intention attacking respectively.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 379-384"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138329952","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":"Rent-seeking Behaviors analysis in Engineering Supervision based on the Game Theory","authors":"Zheng Shurong, Peng Miao","doi":"10.1016/j.sepro.2012.01.010","DOIUrl":"10.1016/j.sepro.2012.01.010","url":null,"abstract":"<div><p>Based on the theory of rent-seeking, this paper analyzes the behaviors and relationships between the owner, supervision and contractor in engineering supervision. The paper establishes a game model of the engineering rent-seeking behavior and relationship. Based on the game equilibrium solution, a conclusion is drawn that owner should improve the monitoring efficiency and make powerful punishment to rent-seeking behaviors in order to effectively restrain the rent-seeking behaviors in engineering supervision.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 455-459"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.01.010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73159439","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 Bi-objective Evacuation Routing Engineering Model with Secondary Evacuation Expected Costs","authors":"Liu Na , Shao Xueyan , Qi Mingliang","doi":"10.1016/j.sepro.2012.04.001","DOIUrl":"10.1016/j.sepro.2012.04.001","url":null,"abstract":"<div><p>The recent nuclear leakage accidents have made evacuation a leading issue in engineering emergency management. Evacuation routing is one of key problems for helping people move to safety. In this paper, a bi-objective model is proposed to optimize the engineering route assignment, with the possibilities of secondary evacuation in consideration. This model is aimed to minimize the maximum travel time and minimize the secondary evacuation expected costs simultaneously. An approximation algorithm with polynomial complexity is designed to solve this model. Finally, a numerical example is given to demonstrate the actual significance of our model the validity of this algorithm.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 1-7"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81187127","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 Condition Based Maintenance Evaluation Model on On-post Vacuum Circuit Breaker","authors":"Cui Yanbin , Cui Bo","doi":"10.1016/j.sepro.2011.11.064","DOIUrl":"10.1016/j.sepro.2011.11.064","url":null,"abstract":"<div><p>The safe operation of power supply equipments is closely related to the security of electric network. The planned maintenance of existing power equipments o cannot meet the needs of development of power system. To solve the problems in maintenance for vacuum circuit breaker, this paper build the equipment condition and risk assessment index system and bring out the outdoor on-post vacuum circuit breaker condition based maintenance evaluation model which based on Rough Set and Support Vector Machine according to the real condition. To prove the high accuracy of this method, a research which about the data of 100 Box-type substation in the distributing network of one power supply company is conducted in this paper.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 182-188"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82501789","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":"Research on design management based on green remanufacturing engineering","authors":"Wu Xiaoyan","doi":"10.1016/j.sepro.2012.01.009","DOIUrl":"10.1016/j.sepro.2012.01.009","url":null,"abstract":"<div><p>With the popularization of the concept of “Product Multi-lifecycle” and “Extended Producer Responsibility”, many manufacturers put the concept of green remanufacturing engineering into practice and begin to think about how to do the design management based on green remanufacturing engineering. This paper firstly analyses the concept of the remanufacturability, then explores the design content for new products’ remanufacturability, and builds up the evaluation model of a used product's remanufacturability, in which the remanufacturability index of a used product is the product of the technological index and the economical index.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 448-454"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.01.009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85582444","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":"Fuzzy economic order quantity model with imperfect items, shortages and inspection errors","authors":"Jicheng Liu, Hui Zheng","doi":"10.1016/j.sepro.2011.11.077","DOIUrl":"10.1016/j.sepro.2011.11.077","url":null,"abstract":"<div><p>This paper studies a fuzzy EOQ engineering problem with imperfect quality and shortages. An inspector may make two types of errors while screening the received lot and an imperfect screening process (Raouf et al., 1983) is adopted. The fraction of defectives in the ordered lot is assumed to be a fuzzy number. A fuzzy EOQ model is formulated to describe this inventory engineering problem and optimal solutions are obtained. The effect of fuzziness of fraction of defectives on optimal solutions is illustrated by a numerical example.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 282-289"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.077","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86547904","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 Multi-period Location-allocation Problem of Engineering Emergency Blood Supply Systems","authors":"Yue Sha, Jun Huang","doi":"10.1016/j.sepro.2012.04.004","DOIUrl":"10.1016/j.sepro.2012.04.004","url":null,"abstract":"<div><p>Unconventional incidents bring great influence to human life, of which the most destructive is earthquake. Blood is a special resource for lives, especially in a big earthquake, in which there will be a sudden increase in demand for blood, therefore sufficient and safe blood supply is a huge challenge. In this paper, we propose an emergency blood supply scheduling model. Providing decision support for the scheduling of engineering emergency blood supply. We propose a multi-period location - allocation model, and give the heuristic algorithm based on Lagrangian relaxation. Finally, give an example case study in the context of Beijing.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 21-28"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76048673","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":"Research on Demand-driven Leagile Supply Chain Operation Model: A Simulation Based on AnyLogic in System Engineering","authors":"Yongan Zhang, Ying Wang, Long Wu","doi":"10.1016/j.sepro.2011.11.027","DOIUrl":"10.1016/j.sepro.2011.11.027","url":null,"abstract":"<div><p>With the development of economy and information technology, the competition between enterprises has already entered the period of “competition between supply chains”. It is more and more impossible to satisfy the customer personalized and diversified demands with reducing the total cost. Using the system engineering concept, the system dynamics models of traditional supply chain and leagile supply chain are built in this paper. Through comparing the simulation results of these two kinds of supply chain, we show the advantages of leagile supply chain. The results hold that shorten the length of supply chain, share the information, cooperation and production delay can effectively weaken the bullwhip effect. By running the simulation model, we can determine the relationship among effect factors of leagile supply chain and observe the visual dynamic changes of supply chain. Thus, this result can provide decision supports to enterprises’ leagile supply chain.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 249-258"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84338186","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":"Computing the Critical Road Section for the Repair of a Transportation Network","authors":"Bing Su , Chunyan Hua , Xiaoyi Lan , Qian Yang","doi":"10.1016/j.sepro.2012.04.028","DOIUrl":"10.1016/j.sepro.2012.04.028","url":null,"abstract":"<div><p>Let G(V,E) denote a transportation network with a rate of traffic between each pair of nodes, and a latency function for each edge (road section). However, some road sections may be repaired at certain times and make some blockages. In this paper, we focus on the problem of computing a road section e<sub>j</sub>∈E for the repair of a transportation network, whose removal produces the ratio of the minimum sum travel times (total latency) of network G-e<sub>j</sub> to that of network G is maximum. We define such a road section as the critical road section for the repair of a transportation network (CRS for short), and give an algorithm for computing the CRS. Finally, an application of the CRS for a special network is shown. The problem discussed in this paper is of great significance to deal with the transportation management engineering.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"5 ","pages":"Pages 173-178"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.04.028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80594131","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":"Agent-based Simulation Model of Single Point Inventory System","authors":"DONG Fu-gui, LIU Hui-mei, LU Bing-de","doi":"10.1016/j.sepro.2011.11.079","DOIUrl":"10.1016/j.sepro.2011.11.079","url":null,"abstract":"<div><p>Maintaining normal stock amount can reduce ordering cost and improve service level, but excessive stock needs expensive inventory holding costs and occupies too much floating capital, so it is necessary to seek a balance between the stock holdings and inventory cost. Using AnyLogic software, the single point inventory system simulation model is built based on Agent method in this paper. Through comparing the two continuous replenishment strategies, the (R, S) and (Q, R) strategies, the simulation results show that (R, S) strategy is better than (Q, R) strategy. Then the optimal inventory policy to minimize inventory cost with a certain service level is analyzed by the optimization experiment.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 298-304"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.11.079","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77192363","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}