Supplier selection in a mass customization environment is a systematic engineering,and Quality Function Deployment(QFD)based on customer demand is a systematic product development method.This paper studies the adaptab...Supplier selection in a mass customization environment is a systematic engineering,and Quality Function Deployment(QFD)based on customer demand is a systematic product development method.This paper studies the adaptability of the QFD method and supplier selection process in a mass customization environment and puts forward a supplier selection framework based on the QFD idea.Furthermore,both the objective environment of demand factor analysis and the thinking of the customer representatives participating in the analysis have great uncertainty and fuzziness.Therefore,a demand factor analysis method for supplier selection in the mass customization environment based on language phrases of different granularity is proposed.The proposed method allows the customer representatives participating in the selection to use their preferred language phrase set to represent the importance of demand factors.Finally,the effectiveness and feasibility of the proposed method are verified by an example of a vehicle manufacturer.展开更多
Technological change and factor biases are estimated by employing a translog cost function based on a new adjusted dataset for China’s hog production sector. Technological change is found not to have been neutral and...Technological change and factor biases are estimated by employing a translog cost function based on a new adjusted dataset for China’s hog production sector. Technological change is found not to have been neutral and the factor bias to be statistically significant towards feed grain-saving technology. It is also found that the demand for feed grain is elastic with respect to its own price and that strong substitution relationships exist with respect to some other inputs. Thus, along with technological biases, the changes in input price could affect hog farmer input behaviors and therefore change factor shares of hog production cost in China. In other words, demand for feed grain is very elastic, which results in feed grain-saving technological bias. Two major policy implications can be drawn that rising feed grain prices could significantly reduce the feed grain input on hog farms and developing specialized hog farms could provide more employment opportunities for rural labor in China because feed grain and labor are complementary.展开更多
Based on the analysis of the grain supply and demand gap’s current situation in China, this paper establishes an indicator system for the influence factors of grain supply and demand gap. Then this paper calculates t...Based on the analysis of the grain supply and demand gap’s current situation in China, this paper establishes an indicator system for the influence factors of grain supply and demand gap. Then this paper calculates the correlation degree between the main grain varieties’ supply and demand gap and its influence factors. The results show that sown area and unit yield have the greatest impact on wheat supply and demand gap;per capita disposable income and unit yield have the greatest impact on corn supply and demand gap;per capita disposable income and agricultural mechanization level have the greatest impact on the supply and demand gap of soybean and rice. From the analysis results, we can obtain the difference between the factors affecting the grain supply and demand gap, and provide a certain theoretical basis and new ideas for the balance of grain supply and demand in China.展开更多
1) The paper examines the relationship between electricity demand and climate/non-climate related factors using statistical regression analysis. 2) It focuses on the environmental, demographic, policy (energy pricing)...1) The paper examines the relationship between electricity demand and climate/non-climate related factors using statistical regression analysis. 2) It focuses on the environmental, demographic, policy (energy pricing) and technological factors as the main factors affecting the consumption pattern in Jordan. 3) The paper also presents the variations occurred in the electricity demand over the period 1994-2008. The variations that are observed during the period of study are: Shifting of the peak load occurrence from evening to morning period, Modification in the annual daily load curve especially in winter season, Variation in relationship between space temperature and demand especially in winter, and dramatic increase in electric generation after year 2003. The shift in peak load from evening to morning period is mainly due to technological factor as a result of wide use of the air conditions in houses, services and government offices for cooling in summer instead of ordinary air fans. The variations in consumption pattern between 2000 and 2007 are mainly associated with economic, social and demographic factors. The high demand at lower space temperature is governed by introducing new appliances for heating in winter as a result of low electricity pricing comparing with gasoline price. The dramatic increase in electric generation after 2003 is probably due to demographic factors as a result of high growth of population after the Gulf war II. 4) The correlation between the daily maximum loads in morning and evening periods with the differential temperature (ΔT) above 20?C threshold in summer and below 15?C threshold in winter, shows pronounced changes in 2007 compared with year 2000. The regression tests show that a decrease of 1?C below 15?C threshold in winter 1) increases the morning demand by only 2 MW/?C in 2000 and 16.7 MW/?C in 2007, 2) decreases the evening peak by ?2.6 MW/1?C in 2000 and increases the evening peak by 22.9 MW/1?C in 2007. Results show that the demographic, technological, environmental and national energy pricing factors play a vital rule in consumption pattern in Jordan. Moreover, the paper reveals that planners and decision makers should be careful when applying new tariff in the developing countries such as Jordan.展开更多
By using the relevant data from 273 valid questionnaires of rural households in Jianhu County, Jiangsu Province, this study emphasizes on the factors of rural households' credit and loan demand by Probit model. Th...By using the relevant data from 273 valid questionnaires of rural households in Jianhu County, Jiangsu Province, this study emphasizes on the factors of rural households' credit and loan demand by Probit model. The results show that the factors that influencing the credit demand of rural households include the features of the rural households, the economic activities of rural households and so on. Among the factors, the operation expenditure of rural households, the education degree of the household head and the understanding degree of the rural credit policies have great impact on the rural households' credit and loan demand. In the end, the suggestions on the basis of the research are put forward: developing diversified economy; improving rural households' income; increasing the reserve of rural labor resources and enhancing farmers' quality; strengthening the promotion of rural credit cooperative and perfecting the service quality of rural credit cooperative.展开更多
It is known that structural stiffness and strength distributions have an important role in the seismic response of buildings. The effect of using different code-specified lateral load patterns on the seismic performan...It is known that structural stiffness and strength distributions have an important role in the seismic response of buildings. The effect of using different code-specified lateral load patterns on the seismic performance of fixed-base buildings has been investigated by researchers during the past two decades. However, no investigation has yet been carried out for the case of soil-structure systems. In the present study, through intensive parametric analyses of 21,600 linear and nonlinear MDOF systems and considering five different shear strength and stiffness distribution patterns, including three code-specified patterns as well as uniform and concentric patterns subjected to a group of earthquakes recorded on alluvium and soft soils, the effect of structural characteristics distribution on the strength demand and ductility reduction factor of MDOF fixed-base and soil-structure systems are parametrically investigated. The results of this study show that depending on the level of inelasticity, soil flexibility and number of degrees-of-freedoms (DOFs), structural characteristics distribution can significantly affect the strength demand and ductility reduction factor of MDOF systems. It is also found that at high levels of inelasticity, the ductility reduction factor of low-rise MDOF soil-structure systems could be significantly less than that of fixed-base structures and the reduction is less pronounced as the number of stories increases.展开更多
Based on the questionnaire survey for 431 new generation minority migrant workers in Kunming City,we carried out empirical research on education demands of these migrant workers and its influence factors.Survey result...Based on the questionnaire survey for 431 new generation minority migrant workers in Kunming City,we carried out empirical research on education demands of these migrant workers and its influence factors.Survey results show that their education demands have significant features in learning purposes,contents,expenses,willingness,and manners,which are subject to subjective mentality,economic income,social relation network,as well as shortage in social supply of education and training.Therefore,apart from solving training problem of new generation minority migrant workers,government should also highly value their demands of training and arouse their enthusiasm for participation in training in accordance with cultural and psychological characteristics and living environment of these migrant workers.展开更多
Based on the commodity property and finance property of gold in the international gold futures market,the influence factors of international gold futures price volatility are analyzed from the perspectives of supply a...Based on the commodity property and finance property of gold in the international gold futures market,the influence factors of international gold futures price volatility are analyzed from the perspectives of supply and demand factors,financial factors and speculation factors.The structural vector autoregression(SVAR)model is applied to investigating the direction and strength of the effects of influence factors on the international gold futures prices and the variance decomposition approach(VDA)is used to compare the contributions of these factors.The results show that the supply and demand factors still play a fundamental role in the international gold futures price volatility and the role of“China’s gold demand”is exaggerated.The financial factors and speculation factors have significant impacts on the international gold futures price volatility,which reflects that the financial property of gold becomes increasingly important.Governments and investors should pay close attention to the financial property of gold futures.展开更多
文摘Supplier selection in a mass customization environment is a systematic engineering,and Quality Function Deployment(QFD)based on customer demand is a systematic product development method.This paper studies the adaptability of the QFD method and supplier selection process in a mass customization environment and puts forward a supplier selection framework based on the QFD idea.Furthermore,both the objective environment of demand factor analysis and the thinking of the customer representatives participating in the analysis have great uncertainty and fuzziness.Therefore,a demand factor analysis method for supplier selection in the mass customization environment based on language phrases of different granularity is proposed.The proposed method allows the customer representatives participating in the selection to use their preferred language phrase set to represent the importance of demand factors.Finally,the effectiveness and feasibility of the proposed method are verified by an example of a vehicle manufacturer.
基金support from the National Natural Science Foundation of China (70773037)the Foundation for Research, Science and Technology grant, New Zealand (IERX0301)
文摘Technological change and factor biases are estimated by employing a translog cost function based on a new adjusted dataset for China’s hog production sector. Technological change is found not to have been neutral and the factor bias to be statistically significant towards feed grain-saving technology. It is also found that the demand for feed grain is elastic with respect to its own price and that strong substitution relationships exist with respect to some other inputs. Thus, along with technological biases, the changes in input price could affect hog farmer input behaviors and therefore change factor shares of hog production cost in China. In other words, demand for feed grain is very elastic, which results in feed grain-saving technological bias. Two major policy implications can be drawn that rising feed grain prices could significantly reduce the feed grain input on hog farms and developing specialized hog farms could provide more employment opportunities for rural labor in China because feed grain and labor are complementary.
文摘Based on the analysis of the grain supply and demand gap’s current situation in China, this paper establishes an indicator system for the influence factors of grain supply and demand gap. Then this paper calculates the correlation degree between the main grain varieties’ supply and demand gap and its influence factors. The results show that sown area and unit yield have the greatest impact on wheat supply and demand gap;per capita disposable income and unit yield have the greatest impact on corn supply and demand gap;per capita disposable income and agricultural mechanization level have the greatest impact on the supply and demand gap of soybean and rice. From the analysis results, we can obtain the difference between the factors affecting the grain supply and demand gap, and provide a certain theoretical basis and new ideas for the balance of grain supply and demand in China.
文摘1) The paper examines the relationship between electricity demand and climate/non-climate related factors using statistical regression analysis. 2) It focuses on the environmental, demographic, policy (energy pricing) and technological factors as the main factors affecting the consumption pattern in Jordan. 3) The paper also presents the variations occurred in the electricity demand over the period 1994-2008. The variations that are observed during the period of study are: Shifting of the peak load occurrence from evening to morning period, Modification in the annual daily load curve especially in winter season, Variation in relationship between space temperature and demand especially in winter, and dramatic increase in electric generation after year 2003. The shift in peak load from evening to morning period is mainly due to technological factor as a result of wide use of the air conditions in houses, services and government offices for cooling in summer instead of ordinary air fans. The variations in consumption pattern between 2000 and 2007 are mainly associated with economic, social and demographic factors. The high demand at lower space temperature is governed by introducing new appliances for heating in winter as a result of low electricity pricing comparing with gasoline price. The dramatic increase in electric generation after 2003 is probably due to demographic factors as a result of high growth of population after the Gulf war II. 4) The correlation between the daily maximum loads in morning and evening periods with the differential temperature (ΔT) above 20?C threshold in summer and below 15?C threshold in winter, shows pronounced changes in 2007 compared with year 2000. The regression tests show that a decrease of 1?C below 15?C threshold in winter 1) increases the morning demand by only 2 MW/?C in 2000 and 16.7 MW/?C in 2007, 2) decreases the evening peak by ?2.6 MW/1?C in 2000 and increases the evening peak by 22.9 MW/1?C in 2007. Results show that the demographic, technological, environmental and national energy pricing factors play a vital rule in consumption pattern in Jordan. Moreover, the paper reveals that planners and decision makers should be careful when applying new tariff in the developing countries such as Jordan.
基金Supported by National Natural Science Funds (70803021 )the Ph. D. Programs Foundation of Ministry of Education of China(20070307057)
文摘By using the relevant data from 273 valid questionnaires of rural households in Jianhu County, Jiangsu Province, this study emphasizes on the factors of rural households' credit and loan demand by Probit model. The results show that the factors that influencing the credit demand of rural households include the features of the rural households, the economic activities of rural households and so on. Among the factors, the operation expenditure of rural households, the education degree of the household head and the understanding degree of the rural credit policies have great impact on the rural households' credit and loan demand. In the end, the suggestions on the basis of the research are put forward: developing diversified economy; improving rural households' income; increasing the reserve of rural labor resources and enhancing farmers' quality; strengthening the promotion of rural credit cooperative and perfecting the service quality of rural credit cooperative.
文摘It is known that structural stiffness and strength distributions have an important role in the seismic response of buildings. The effect of using different code-specified lateral load patterns on the seismic performance of fixed-base buildings has been investigated by researchers during the past two decades. However, no investigation has yet been carried out for the case of soil-structure systems. In the present study, through intensive parametric analyses of 21,600 linear and nonlinear MDOF systems and considering five different shear strength and stiffness distribution patterns, including three code-specified patterns as well as uniform and concentric patterns subjected to a group of earthquakes recorded on alluvium and soft soils, the effect of structural characteristics distribution on the strength demand and ductility reduction factor of MDOF fixed-base and soil-structure systems are parametrically investigated. The results of this study show that depending on the level of inelasticity, soil flexibility and number of degrees-of-freedoms (DOFs), structural characteristics distribution can significantly affect the strength demand and ductility reduction factor of MDOF systems. It is also found that at high levels of inelasticity, the ductility reduction factor of low-rise MDOF soil-structure systems could be significantly less than that of fixed-base structures and the reduction is less pronounced as the number of stories increases.
基金Supporte by the Project of Yunnan Provincial Department of Education(09Y0358)the Project of Kunming University(2010SH01)
文摘Based on the questionnaire survey for 431 new generation minority migrant workers in Kunming City,we carried out empirical research on education demands of these migrant workers and its influence factors.Survey results show that their education demands have significant features in learning purposes,contents,expenses,willingness,and manners,which are subject to subjective mentality,economic income,social relation network,as well as shortage in social supply of education and training.Therefore,apart from solving training problem of new generation minority migrant workers,government should also highly value their demands of training and arouse their enthusiasm for participation in training in accordance with cultural and psychological characteristics and living environment of these migrant workers.
基金Projects(71874210,71633006,71501193) supported by the National Natural Science Foundation of China
文摘Based on the commodity property and finance property of gold in the international gold futures market,the influence factors of international gold futures price volatility are analyzed from the perspectives of supply and demand factors,financial factors and speculation factors.The structural vector autoregression(SVAR)model is applied to investigating the direction and strength of the effects of influence factors on the international gold futures prices and the variance decomposition approach(VDA)is used to compare the contributions of these factors.The results show that the supply and demand factors still play a fundamental role in the international gold futures price volatility and the role of“China’s gold demand”is exaggerated.The financial factors and speculation factors have significant impacts on the international gold futures price volatility,which reflects that the financial property of gold becomes increasingly important.Governments and investors should pay close attention to the financial property of gold futures.
