@article{9,
  author = {Peter Rausch},
  title = {Intelligent Performance and Cost Analysis of Construction Machines’ Data},
  journal = {Journal of Intelligent Computing},
  year = {2010},
  volume = {1},
  number = {1},
  doi = {},
  url = {http://dline.info/jic/fulltext/v1n1/2.pdf},
  abstract = {The European construction industry faces a challenging environment with very tight time scales and budgets. At the same time, a lack of (real time) information makes it impossible to control projects effectively. The research project EPOS (Efficient process design by satellite supported software in the earth moving and road construction industry) which is described in this paper aims to alleviate this. It is pointed out how this could be achieved by using intelligent performance and cost analysis of data from construction sites. At first the basic ideas of the EPOS project and the underlying corporate performance management approach are explained. Thereafter the system architecture and its data sources are briefly outlined. At a glance the main components, namely a machine guidance system, a production activity control (PAC) component, an enterprise resources planning (ERP) system, and a business intelligence (BI) software are introduced. An explanation of the performance and cost analysis components follows. Examples for data analysis are given. The final sections outline possibilities for further developments and summarize the paper.},
}