Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461467
Wang Qiang, S. Liang
Under the pressure of global financial crisis, enterprises tend to enhance ability of Supply Chain Management (SCM) and their own advantages can be developed in the competition. A decision making model of multi-product multi-stage supply chain consisted of single manufacturer and single supplier is proposed in this article. The model is proved to be superior and efficient through application example. Reasonable decisions are suggested by analyzing the solution of dual problem. The decisions could help members of supply chain get more profits.
{"title":"Multi-objective programming approach to double-level supply chain","authors":"Wang Qiang, S. Liang","doi":"10.1109/ICLSIM.2010.5461467","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461467","url":null,"abstract":"Under the pressure of global financial crisis, enterprises tend to enhance ability of Supply Chain Management (SCM) and their own advantages can be developed in the competition. A decision making model of multi-product multi-stage supply chain consisted of single manufacturer and single supplier is proposed in this article. The model is proved to be superior and efficient through application example. Reasonable decisions are suggested by analyzing the solution of dual problem. The decisions could help members of supply chain get more profits.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132390643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461468
Yu-xiang Yang, Gen-gui Zhou
A large-scale enterprise is planning to select right locations to open a number of firms and enter an existed industry. The entering enterprise has to compete with the existed enterprises. Furthermore, original network economic equilibrium must be break and the network will attain new equilibrium state. Hence, one-leader-multiple-followers Stackelberg strategies problem is discussed that the entering one behaves as the leader and the existed ones are followers. Network equilibrium model is used to obtain the economic equilibrium state. A network design model is proposed by using the methods of equilibrium theory and variational inequality. A hybrid solution method is built to solve the problem. Finally, a numerical example is given to show rationality of the model.
{"title":"Closed loop supply chain network design under competitive environment","authors":"Yu-xiang Yang, Gen-gui Zhou","doi":"10.1109/ICLSIM.2010.5461468","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461468","url":null,"abstract":"A large-scale enterprise is planning to select right locations to open a number of firms and enter an existed industry. The entering enterprise has to compete with the existed enterprises. Furthermore, original network economic equilibrium must be break and the network will attain new equilibrium state. Hence, one-leader-multiple-followers Stackelberg strategies problem is discussed that the entering one behaves as the leader and the existed ones are followers. Network equilibrium model is used to obtain the economic equilibrium state. A network design model is proposed by using the methods of equilibrium theory and variational inequality. A hybrid solution method is built to solve the problem. Finally, a numerical example is given to show rationality of the model.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133926240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461168
Zhang Wuyi, Xia Jie, Hua Lian-lian
Firstly, knowledge flow owns the nature of fields is argued, the knowledge flow in the knowledge filed is studied by using the theoretical model in the electric field. On this basis, the knowledge model of supply chain based on the theory of knowledge field is built, and the calculations of knowledge flow and power of knowledge flow are proposed. Furthermore, the feasibility of the calculations is proved at the end of the article.
{"title":"A research of knowledge flow of supply chain based on the theory of knowledge field","authors":"Zhang Wuyi, Xia Jie, Hua Lian-lian","doi":"10.1109/ICLSIM.2010.5461168","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461168","url":null,"abstract":"Firstly, knowledge flow owns the nature of fields is argued, the knowledge flow in the knowledge filed is studied by using the theoretical model in the electric field. On this basis, the knowledge model of supply chain based on the theory of knowledge field is built, and the calculations of knowledge flow and power of knowledge flow are proposed. Furthermore, the feasibility of the calculations is proved at the end of the article.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133034720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461127
Huimin Xiao, Guozheng Zhang
Lines of waiting customers are always very long in most of banks. The essence of this phenomenon is the low efficiency of queuing system. In this paper, the queuing number, the service windows number and the optimal service rate are investigated by means of the queuing theory. In technology, the optimal problem of the bank queuing is solved. The time of customer queuing is reduced. The customer satisfaction is increased. It was proved that this optimal model of the queuing is feasible. By the example, the results are effective and practical.
{"title":"The queuing theory application in bank service optimization","authors":"Huimin Xiao, Guozheng Zhang","doi":"10.1109/ICLSIM.2010.5461127","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461127","url":null,"abstract":"Lines of waiting customers are always very long in most of banks. The essence of this phenomenon is the low efficiency of queuing system. In this paper, the queuing number, the service windows number and the optimal service rate are investigated by means of the queuing theory. In technology, the optimal problem of the bank queuing is solved. The time of customer queuing is reduced. The customer satisfaction is increased. It was proved that this optimal model of the queuing is feasible. By the example, the results are effective and practical.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116698100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461099
Sen Wu, Guiying Wei
An algorithm is proposed to cluster high dimensional data named as Clustering Algorithm Based On Sparse Feature Vector for Categorical Attributes (CABOSFV_C). It compresses data effectively by using ‘Sparse Feature Vector of a Set for Categorical Data’ without losing the information necessary for making clustering decisions, and can get the clustering result with once data scan by defining ‘Sparse Feature Dissimilarity of a Set for Categorical Data’ as distance measure. Because of the data reduction and once data scan strategy the algorithm has almost linear computation complexity and handles noise effectively. In addition, CABOSFV_C is suitable not only for sparse data but also for complete data, which is illustrated by two numeric examples at the end of the paper as well as other salient features of the algorithm.
{"title":"High dimensional data Clustering Algorithm Based on Sparse Feature Vector for Categorical Attributes","authors":"Sen Wu, Guiying Wei","doi":"10.1109/ICLSIM.2010.5461099","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461099","url":null,"abstract":"An algorithm is proposed to cluster high dimensional data named as Clustering Algorithm Based On Sparse Feature Vector for Categorical Attributes (CABOSFV_C). It compresses data effectively by using ‘Sparse Feature Vector of a Set for Categorical Data’ without losing the information necessary for making clustering decisions, and can get the clustering result with once data scan by defining ‘Sparse Feature Dissimilarity of a Set for Categorical Data’ as distance measure. Because of the data reduction and once data scan strategy the algorithm has almost linear computation complexity and handles noise effectively. In addition, CABOSFV_C is suitable not only for sparse data but also for complete data, which is illustrated by two numeric examples at the end of the paper as well as other salient features of the algorithm.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116658314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461463
Run-bin Sui, Guo-fu An, Song-tao Zhang
In this paper, it is studied that the profits of the retailer, the manufacturer and the supply chain under twice ordering policy with two different revenue-sharing contract ratios separately. Under such contract, the manufacturer decides two different revenue-sharing contract ratios and two different retailer's unit purchase prices. The retailer can only accept or refuse the contract. Once the retailer accepts the contract, the retailer will decides the first ordering quantity, and decides whether gives a re-ordering quantity and the number of the re-ordering quantity before the end of the sales period. The numerical calculation is done and the results show that the profits of the retailer, the manufacturer and the supply chain in the Revenue-sharing contract under two ordering policy are more than that of the retailer, the manufacturer and the supply chain under once ordering policy.
{"title":"Research on the supply chain revenue-sharing contract under different revenue-sharing ratios","authors":"Run-bin Sui, Guo-fu An, Song-tao Zhang","doi":"10.1109/ICLSIM.2010.5461463","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461463","url":null,"abstract":"In this paper, it is studied that the profits of the retailer, the manufacturer and the supply chain under twice ordering policy with two different revenue-sharing contract ratios separately. Under such contract, the manufacturer decides two different revenue-sharing contract ratios and two different retailer's unit purchase prices. The retailer can only accept or refuse the contract. Once the retailer accepts the contract, the retailer will decides the first ordering quantity, and decides whether gives a re-ordering quantity and the number of the re-ordering quantity before the end of the sales period. The numerical calculation is done and the results show that the profits of the retailer, the manufacturer and the supply chain in the Revenue-sharing contract under two ordering policy are more than that of the retailer, the manufacturer and the supply chain under once ordering policy.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114966585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461228
Fuzhen Gu, Nan Li, Yongqiang Ni
Having a reasonable judgment on the nodes of regional logistics' network is both the need of the developing regional logistics industry and is also the demand on the sound development of economy, which has an important strategic significant in enhancing the regional economy. The paper suppose the evaluation of index system in logistics node city, using multi-level fuzzy evaluation method to have a comprehensive evaluation under the logistics capacity of the major cities in Heilongjiang Province, and according to the comparison index, comprehensively reflect in the status and role of regional logistics system, finally define an reasonable position of its functions. The proposal of this model will has a certain value in selected scientific of enhancing regional logistics' nodes.
{"title":"The choice of node cities in regional logistics network of Heilongjiang Province","authors":"Fuzhen Gu, Nan Li, Yongqiang Ni","doi":"10.1109/ICLSIM.2010.5461228","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461228","url":null,"abstract":"Having a reasonable judgment on the nodes of regional logistics' network is both the need of the developing regional logistics industry and is also the demand on the sound development of economy, which has an important strategic significant in enhancing the regional economy. The paper suppose the evaluation of index system in logistics node city, using multi-level fuzzy evaluation method to have a comprehensive evaluation under the logistics capacity of the major cities in Heilongjiang Province, and according to the comparison index, comprehensively reflect in the status and role of regional logistics system, finally define an reasonable position of its functions. The proposal of this model will has a certain value in selected scientific of enhancing regional logistics' nodes.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461218
Zhang Guan-xiang, Z. Meng, Zhong Hui-ling, H. Xiaoyu
In this paper, an evaluation index system for transportation scientific and technological projects evaluation is built, which composed of three categories and two levels indexes. The weights of indexes are determined by AHP method. Final scores of projects are calculated by grey evaluation method based on reformative triangular whitenization weight function. The evaluation index system and evaluation methods now are an important part of the transport scientific and technical project management platform of Guangdong Transport Department.
{"title":"Research of transportation scientific and technological projects evaluation based on improved triangular whitenization weight function","authors":"Zhang Guan-xiang, Z. Meng, Zhong Hui-ling, H. Xiaoyu","doi":"10.1109/ICLSIM.2010.5461218","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461218","url":null,"abstract":"In this paper, an evaluation index system for transportation scientific and technological projects evaluation is built, which composed of three categories and two levels indexes. The weights of indexes are determined by AHP method. Final scores of projects are calculated by grey evaluation method based on reformative triangular whitenization weight function. The evaluation index system and evaluation methods now are an important part of the transport scientific and technical project management platform of Guangdong Transport Department.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114985357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461084
Z. Chunyu
Enterprises are in the knowledge based economic environment, and with the rapid growth of knowledge and information they will face a higher level competition on knowledge. The principles were brought forward to define and implement the knowledge value chain model and management. By using the Balanced Scorecard model and Entropy weight, a system was established to evaluate the knowledge value chain management performance in enterprises. Conclusion can be drawn as follows: knowledge value chain of enterprise is customer demand orientated, it is the link structure composed of the processes of knowledge accumulation and innovation, knowledge value chain management performance could be implemented with the reference to balanced scorecard which provides more specific direction and evaluation criteria, and entropy weight method is scientific and effective for the performance evaluation.
{"title":"The study on performance evaluation of enterprise value chain based on knowledge management","authors":"Z. Chunyu","doi":"10.1109/ICLSIM.2010.5461084","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461084","url":null,"abstract":"Enterprises are in the knowledge based economic environment, and with the rapid growth of knowledge and information they will face a higher level competition on knowledge. The principles were brought forward to define and implement the knowledge value chain model and management. By using the Balanced Scorecard model and Entropy weight, a system was established to evaluate the knowledge value chain management performance in enterprises. Conclusion can be drawn as follows: knowledge value chain of enterprise is customer demand orientated, it is the link structure composed of the processes of knowledge accumulation and innovation, knowledge value chain management performance could be implemented with the reference to balanced scorecard which provides more specific direction and evaluation criteria, and entropy weight method is scientific and effective for the performance evaluation.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114986331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-05-06DOI: 10.1109/ICLSIM.2010.5461301
Zhao Wenxiang, Liang Handong
The analysis and modeling of high-frequency financial data are new research fields in financial econometrics. The realized covariance matrix, gotten by expanding realized volatility based on univariate high-frequency data to multivariate high-frequency data, can describe volatility and correlation of multivariate time series. The paper gains the realized covariance matrix of the high-frequency data of Shanghai Composite Index and Shenzhen Component Index, and uses VAR model to forecast variance. Then the result is compared with the ones which are gotten by using ARMA model on realized volatility and GARCH model on two indexes. By comparing those three forecast variance by mean squared error, the paper shows that the realized covariance matrix is better than realized variance, and the realized variance is better than GARCH model on variance forecasting.
{"title":"Realized covariance matrix is good at forecasting volatility","authors":"Zhao Wenxiang, Liang Handong","doi":"10.1109/ICLSIM.2010.5461301","DOIUrl":"https://doi.org/10.1109/ICLSIM.2010.5461301","url":null,"abstract":"The analysis and modeling of high-frequency financial data are new research fields in financial econometrics. The realized covariance matrix, gotten by expanding realized volatility based on univariate high-frequency data to multivariate high-frequency data, can describe volatility and correlation of multivariate time series. The paper gains the realized covariance matrix of the high-frequency data of Shanghai Composite Index and Shenzhen Component Index, and uses VAR model to forecast variance. Then the result is compared with the ones which are gotten by using ARMA model on realized volatility and GARCH model on two indexes. By comparing those three forecast variance by mean squared error, the paper shows that the realized covariance matrix is better than realized variance, and the realized variance is better than GARCH model on variance forecasting.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115072670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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