The focus of the article is on the contribution of the perspective of supply chain management （SCM） to the explanation of internationalization processes. The empirical study is based on case studies of 20 small- and...The focus of the article is on the contribution of the perspective of supply chain management （SCM） to the explanation of internationalization processes. The empirical study is based on case studies of 20 small- and medium-sized enterprises （SMEs） with international activities from China, India, New Zealand, and Singapore. All chosen firms were founded after 1980 in order to capture retrospectively the whole globalization process of each firm. All sample firms operate their supply chains （SCs） on the basis of information and communications technology （ICT）. Depending on size, strategy, business model, industry, and mindset of the managers, firms use ICT on a range from integrating individual functional areas to integrating the whole SC through enterprise resource planning （ERP） and customer relationship management （CRM） systems.展开更多
In order to obtain the trend of urban rail transit traffic flow and grasp the fluctuation range of passenger flow better,this paper proposes a combined forecasting model of passenger flow fluctuation range based on fu...In order to obtain the trend of urban rail transit traffic flow and grasp the fluctuation range of passenger flow better,this paper proposes a combined forecasting model of passenger flow fluctuation range based on fuzzy information granulation and least squares support vector machine(LS-SVM)optimized by chaos particle swarm optimization(CPSO).Due to the nonlinearity and fluctuation of the passenger flow,firstly,fuzzy information granulation is used to extract the valid data from the window according to the requirement.Secondly,CPSO that has strong global search ability is applied to optimize the parameters of the LS-SVM forecasting model.Finally,the combined model is used to forecast the fluctuation range of early peak passenger flow at Tiyu Xilu Station of Guangzhou Metro Line 3 in 2014,and the results are compared and analyzed with other models.Simulation results demonstrate that the combined forecasting model can effectively track the fluctuation of passenger flow,which provides an effective method for predicting the fluctuation range of short-term passenger flow in the future.展开更多
文摘The focus of the article is on the contribution of the perspective of supply chain management （SCM） to the explanation of internationalization processes. The empirical study is based on case studies of 20 small- and medium-sized enterprises （SMEs） with international activities from China, India, New Zealand, and Singapore. All chosen firms were founded after 1980 in order to capture retrospectively the whole globalization process of each firm. All sample firms operate their supply chains （SCs） on the basis of information and communications technology （ICT）. Depending on size, strategy, business model, industry, and mindset of the managers, firms use ICT on a range from integrating individual functional areas to integrating the whole SC through enterprise resource planning （ERP） and customer relationship management （CRM） systems.
基金National Natural Science Foundation of China(No.61663021)Science and Technology Support Project of Gansu Province(No.1304GKCA023)Scientific Research Project in University of Gansu Province(No.2017A-025)
文摘In order to obtain the trend of urban rail transit traffic flow and grasp the fluctuation range of passenger flow better,this paper proposes a combined forecasting model of passenger flow fluctuation range based on fuzzy information granulation and least squares support vector machine(LS-SVM)optimized by chaos particle swarm optimization(CPSO).Due to the nonlinearity and fluctuation of the passenger flow,firstly,fuzzy information granulation is used to extract the valid data from the window according to the requirement.Secondly,CPSO that has strong global search ability is applied to optimize the parameters of the LS-SVM forecasting model.Finally,the combined model is used to forecast the fluctuation range of early peak passenger flow at Tiyu Xilu Station of Guangzhou Metro Line 3 in 2014,and the results are compared and analyzed with other models.Simulation results demonstrate that the combined forecasting model can effectively track the fluctuation of passenger flow,which provides an effective method for predicting the fluctuation range of short-term passenger flow in the future.
