Description
Provides a structured four-step procedure for creating and implementing a BIM Project Execution Plan. Stimulates planning and direct communication during the early phases of a project. Helps project teams effectively design a tailored execution strategy through understanding the project goals, the project characteristics, and the capabilities of the team members.

Web download only

Description
LEVER is a predictive model based on the assumption that past performance can predict future success. Using primarily historical data, it estimates the potential for a technology to have a positive impact on construction productivity. LEVER is a Microsoft Excel® file that uses economic, feasibility, usage, and impact analyses to generate a score regarding a technology’s potential.

Web download only

Description
Provides readers with practical information related to RFID technology. Included are frequently asked questions and answers, lessons learned, and a decision-support process chart to facilitate selecting the type of RFID system to implement.

Description
Includes a User’s Guide and software designed to offer a decision analysis tool for determining the highest payback based on implementation of information management technologies in design and construction processes. The resource includes information management strategies for document management, data management, and information access.

The software is pre-1997 and currently under review. Please contact Kim Allen at (512) 232-3012 or ksallen@mail.utexas.edu prior to purchasing this product or downloading the software.

Reviewed by CII 23Jun04

Description
Outlines a four-step structured procedure for creating and implementing a BIM Project Execution Plan. Stimulates project planning and direct communication among project team members during the early phases of a project. Helps project teams effectively tailor an execution strategy through a better understanding the project goals, project characteristics, and the capabilities of the team members.

Description
Describes research that used historical data, field testing, and the development of a predictive model to show that technology can improve construction productivity. Emphasizes that work processes are often required to change if a new technology is to be successfully used. Describes use of LEVER (IR240-2), which was developed to evaluate a technology’s potential.

Description
The use of information technologies offers the potential for revolutionary change in the effectiveness with which construction-related activities are executed and the value they add to construction industry stakeholders. This study focuses on that portion of the annual cost burden due to inefficient business process management functions. Sponsored by NIST.

Description
Although construction has not kept pace in using automation compared to other industries, opportunities do exist. This publication describes recommended design practices that may facilitate use of automation, including design-phase constructability reviews, standardization, and use of electronic documents, especially by the contractor.

Reviewed by CII 23Jun04

Description
This magazine-style article is a departure from the normal CII Research Summary document, but the subject is time-sensitive. Project Team Chair John Voeller presents an overview of the CII research recently completed into this “infant” area of the construction industry. He and his team offer recommendations on how companies can apply e-commerce successfully to be competitive, along with the admission that each company must address its own subtle differences in order to implement e-commerce and e-procurement successfully.

Description
Reports on an investigation into how the construction industry might benefit from using radio frequency identification tagging (RFID); includes pilot test results and ideas for owners and contractors to pursue in integrating this technology into the project life cycle.