Applied Mechanics and Materials Vols. 556-562

Abstract: Global competition has forced enterprises to constantly innovate business administration and product services, in order to dominate markets and to compete effectively. However, the formulation and execution of strategy and the development of products and services rely largely on a concrete management system that can efficiently produce attractive products within the shortest period of time. Project management is an effective way of achieving these objectives. A temporary task group is formed by borrowing personnel from related divisions, without altering the original organizational structure and adding extra workforce. Various team-building activities are used to quickly transform this group of people into a solid project team and to accomplish the specified project objectives as soon as possible. Traditional assignment of project personnel is based primarily on work experiences and expertise and ignores the role that personalities play in the success of the project. Therefore, this study develops a project assignment quantitative model that maximizes the team’s personality balance by selecting the most suitable personnel from a group of qualified capable candidates, to increase the possibility of success for the project. The results of the example show that the model developed can help a project manager to form a project team in which the members’ personalities are highly balanced, to maximize the project performance.

Abstract: As a significant technological means of collecting global statistics and its changing information, remote sensing technology plays a critically important role in the investigation of territorial resources. Therefore, using remote sensing technology to interpret the tourism resources of Danxia landform can make up for many shortages of traditional methods so as to do less for more. In this article, the tourism resources of Danxia landform in Jiangxi province are extracted by remote sensing technology and its average area error is reduced to 11% through the statistics data. It can be concluded that it is feasible to investigate the tourism resources of Danxia landform by means of computer automatic identification and classification.