Industrial Revolution 4.0 in Some Countries Experiences and Lessons for Vietnam

The world has experienced 3 Industrial Revolutions.Right now,we are at the beginning of the 4th Industrial Revolution.4.0 Revolution is based on the digital revolution,characterized by the increasingly popular internet and mobile,by smaller and more powerful semiconductors at cheaper price and by Artificial Intelligence.Digital technologies with computer hardware,software and networks are becoming more and more complex,more integrated,thus transforming society.Faced with the unprecedented impact of the 4.0 Revolution,depending on the size of the economy and the level of technology,countries around the world have policies to adapt,catch up and take advantage of the achievements of the revolution.This revolution serves the sustainable development of our country.This article summarizes the policies of some countries such as Germany,the United States,Japan,Singapore,Republic of Korea,India,China,Taiwan,...under the impact of the 4.0 Revolution;thereby drawing lessons for Vietnam in the process of implementing the 4.0 Revolution to avoid negative impacts,take advantage of the pre-eminence of the revolution in socio-economic development.

Project Planning and Scheduling in the Face of the Fourth Industrial Revolution(4IR)

This paper addresses the integrated processes of planning and scheduling of projects using technologies advanced tools as means for managing change in the era of the 4IR.The paper explores the traditional project management planning and scheduling tools in conjunction with what technology has to offer,to bridge the gap between the traditional project management planning and scheduling tools and what the modern-day business market demands.An analysis of literature covering a wide range of theoretic and empirical studies was performed.The theories underlying various planning and scheduling methods were analysed in relation to the design of projects.A descriptive quantitative secondary data was used as a tool to assess the impact of technology on project planning for scheduling.The analysis of the study’s data was conducted using the principles of cross-tabulation.Inferences were drawn on the significant impact of the use of advanced technological tools on project planning for scheduling in current business time.Organisations can make use of the findings of this study to correctly apply the available advanced technological tools for more efficient schedule management planning to enhance the successful delivery of their projects.Further,this research can be used to provide learning opportunities for new and inexperienced planners and schedulers,and as a basis for further research in this field of knowledge.

Call For Paper 5th International Maritime Conference on DESIGN FOR SAFETY and 4th Workshop on RISK-BASED APPROACHES IN THE MARINE INDUSTRIES

In 1999, the first International Maritime Confere- nce on Design for Safety was successfully held in Glasgow, UK as a WEGEMT Euro Conference with the sponsorship of the European Commission. Respo- nding to the expectation from the world maritime safety community, the second was held in 2004 in Japan. The third and fourth were held in USA, 2007 and Italy, 2010, respectively. This year the Design for Safety conference including a single event of the 4th Workshop on Risk-Based Approaches in the Marine Industries will be held in Shanghai on November 25- 27, 2013. The conference is organized by Shanghai Jiao Tong University and is co-organized/sponsored by Marine Design and Research Institute of China （MARIC） and China Classification Society （CCS~.

Technical Efficiency in the Chinese Textile Industry

This paper presents a measurement of the technical efficiency of textile industries with 4-digit codes in China by using the cross-section data from 2002 and 2007 and a fully nonparametric stochastic frontier estimation approach. The technical efficiency of these textile industries is compared across six economic ownership types and across seven regions in China. This uncovers the effects of the proprietary characteristics and the location of a firm on its technical efficiency performance. The nonparametric estimation provides some interesting findings. First, textile production in China performs with a decreasing return to scale. The difference between the output elasticity of labor and that of capital decreases from the year 2002 to 2007. Second, the technical efficiency of the 4-digit textile industry in China is significantly contingent on its ownership and location. Privately-run textile enterprises on average perform with the highest level of technical efficiency among the six ownership types while state-owned enterprises perform with the lowest level of technical efficiency, whether or not the location dummies are accounted for. Third, the technical efficiency evaluated by regions follows the order： ＂eastern area 〉 southern area 〉 central area 〉 northern area,＂ which remains unchanged across the two years.