{"title":"Using the third order exponential smoothing forecasts on reducing the bullwhip effect and inventory costs in supply chain","authors":"Chuanxu Wang","doi":"10.1109/GSIS.2009.5408172","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408172","url":null,"abstract":"First, in the paper the bullwhip effect, average inventory level and expected holding and shortage costs at retailer in a two-stage supply chain are quantified when different exponential smoothing forecasting is used. Through a comparison study it is shown that in a supply chain with positively correlated demand, the order variance, inventory level and expected inventory costs based on the third order exponential smoothing forecast is smaller than those based on the second order exponential smoothing forecast, and the order variance, inventory level and expected inventory costs based on double exponential smoothing forecast is smaller than those based on simple exponential smoothing forecast. It is also indicated that for large values of lead time, the third order exponential smoothing forecast can significantly decrease the average inventory and expect inventory costs at the retailer. When the lead time is small, however, the reductions in average inventory and expected inventory costs are limited.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126883444","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}
{"title":"Study on grey evolutionary game of “industry-university-institute” cooperative innovation","authors":"Hongzhuan Chen, QiangQiang Zhao, Zhenxin Jin","doi":"10.1109/GSIS.2009.5408079","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408079","url":null,"abstract":"The chain structure model of evolutionary game can intuitively describe and study the process of economic activities. For the issues of the co-operation stability of industry- university- institute cooperation and considering limited rationality and poor information in real-life, this paper established a grey symmetry evolutionary chain model of the cooperation-innovation, discussed the stability balance in cooperation in this evolutionary game, and explained the co-operation laws of the cooperation between two or three parties. Then we obtained insightful conclusions which would have great significant guiding on the innovation of industry-university-institute co-operation.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126903436","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}
W. Yuan, Si-feng Liu, Zhigeng Fang, Hong-zhuan Chen
{"title":"Comprehensive evaluation on suppliers of Aircraft based on grey Bayesian network model","authors":"W. Yuan, Si-feng Liu, Zhigeng Fang, Hong-zhuan Chen","doi":"10.1109/GSIS.2009.5408250","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408250","url":null,"abstract":"Based on systematic analysis on comprehensive evaluation factors of suppliers of Aircraft, the paper established a multi-level index system on evaluation factors of suppliers; the author solved for parameter distribution problem by means of Maximum Entropy Model, and proposed methods of dealing with uncertain information in the evaluation process according to grey system principles. Finally, the paper provided a practical theory and tool for the comprehensive evaluation of suppliers based on the quantitative evaluation of every network node after inference in Bayesian network.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123940769","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}
{"title":"Evaluation on development effect of circular economy in coal enterprise based on grey relational grade","authors":"Xie Fang, T. De-shan, Li Ying-de","doi":"10.1109/GSIS.2009.5408310","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408310","url":null,"abstract":"It is inevitable for coal enterprise to develop circular economy to achieve sustainable development. So the problem of how to measure the development effect of circular economy is proposed to us. The evaluation factor system of circular economic development effect in coal enterprise is determined first. From the basic theory of grey system, combined with the circular economy development characteristics of coal enterprise, the effect evaluation model of grey relational grade on circular economy development in coal enterprise is established secondly. And then the effect evaluation model is applied to examples which verify the rationality and feasibility of the effect evaluation model. This provides a certain degree of reference for managers to make decision develop circular economy.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123973350","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}
{"title":"The synthetic evaluation of airline' adaptability based on grey analytic hierarchy process","authors":"Yan Kewu, He Tao","doi":"10.1109/GSIS.2009.5408049","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408049","url":null,"abstract":"On the basis of grey hierarchy process method, the factors that are related to the evaluation of airline' airplane adaptation is analyzed and a synthetic quantitative model of airplane evaluation is established in this paper. The objective of this paper is to provide the airline with a technological support on the appropriate airplane type selection and reduce the risk of operation. It is proved that the model is feasible and practical according to the analysis of a case study.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"18 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120912381","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}
{"title":"Progress assessment on energy-saving goal achieving in”11th Five-Year Plan” period and analysis of energy-saving situation","authors":"Benhai Guo, Zhigeng Fang, Nai-ming Xie","doi":"10.1109/GSIS.2009.5408157","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408157","url":null,"abstract":"This paper mainly assesses the “11th Five-Year Plan's” early progress towards achieving the goal of energy saving, major measures of energy-saving and implementation of the special plan, the implementation of key projects. It also analyzes the situation of the “11th Five-Year Plan” energy-saving work in the later part, namely, the re-Chemical tendency is serious in the economic development; and the contradictions between development and energy-saving increasing obviously in less-developed areas.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121158251","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}
{"title":"Logistics amount forecasting based on combined ARIMA and ANN model","authors":"Z. Jing, Zhu Jin-fu","doi":"10.1109/GSIS.2009.5408245","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408245","url":null,"abstract":"The logistics amount of some enterprises has a dual characters of growth and seasonal fluctuation. Multiple seasonal ARIMA model has linear fitting ability and ANN has the ability of nonlinear relationship mapping. A combined forecasting model based on multiple seasonal ARIMA model and ANN model was proposed to overcome the defects of single model, and the prediction result shows that the combined forecasting model is superior to the single model in many performance aspects. Combined forecasting model offers a new effective method of logistics amount prediction.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121309147","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}
{"title":"The gap prediction for Sci-tech innovative talents of Jiangsu province","authors":"Jianling Wang, Sifeng Liu, Yun Wang","doi":"10.1109/GSIS.2009.5408253","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408253","url":null,"abstract":"Sci-tech innovative talents have been most important sources for Jiangsu province, and prominent achievements of Sci-Tech jog have been made. In this paper, the definition of sci-tech innovative talents is explored first, and the gap between demand and supply of Jiangsu Sci-tech innovative talents is predicted based on GM (1, 1). Lastly, some policy suggestions are proposed.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121407001","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}
{"title":"Empirical analysis of the determinants of health care expenditure in China based on co-integration and error-correction model","authors":"Junshan Li, M. Zhao, K. Jiang","doi":"10.1109/GSIS.2009.5408190","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408190","url":null,"abstract":"Empirical analysis about the determinants of health care expenditure (HCE) in China has been brought forward based on the co-integration and error correction model. The economy growth, population aging, government finance to hospital and urbanization level are all the long-term and steady-going factors which raised health care expenditure (HCE) in China. However, as indicated by the empirical analysis, none of those improvements of medical technology, the increases of medical supply and the introductions of health insurance is the long-term and stable factors. At last, some suggestions have been provided including boost the health care supply largely and enhancing more fiscal input to the state-owned hospitals.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"48 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114113742","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}
{"title":"Employee demission risk assessment based on AHP and BP neural network","authors":"Lijuan Yan","doi":"10.1109/GSIS.2009.5408153","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408153","url":null,"abstract":"Employee demission risk management is an indispensable component to the human resource department of one enterprise. Employee demission risk mainly reflects the demission warning of employees and the management level of employers, to some extent, reducing the risk and loss stemming from employee demission and, hence, the main focus of the paper is to design a risk identification and assessment system. By the combination of AHP and BP neural network, the paper constructs the risk assessment model of employee demission risk, and applies a BP neural network for training and testing samples that stems from AHP. The research result indicates that the risk assessment model based on AHP and BP neural network is not only applicable, but also it can reduce the influence of subjectivity.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114117521","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}