1. ¹Arizona State University, Phoenix, AZ, USA
2. ²Arizona State University, Tempe, AZ, USA
3. ³AXP Project Center of Excellence, IBM Corporation, Phoenix, AZ, USA

Correspondence: M Gopalakrishnan, School of Global Management and Leadership, ASU, PO Box 37100, Phoenix, Arizona 85069-7100, USA. E-mail: mohan@asu.edu

Received August 2005; Accepted February 2006; Published online 3 May 2006.

Abstract

The success behind effective project management lies in estimating the time for individual activities. In many cases, these activity times are non-deterministic. In such situations, the conventional method (project evaluation and review technique (PERT)) obtains three time estimates, which are then used to calculate the expected time. In practice, it is often difficult to get three accurate time estimates. A recent paper suggests using just two time estimates and an approximation of the normal distribution to obtain the expected time and variance for that activity. In this paper, we propose an alternate method that uses only two bits of information: the most-likely and either the optimistic or the pessimistic time. We use a lognormal approximation and experimental results to show that our method is not only better than the normal approximation, but also better than the conventional method when the underlying activity distributions are moderately or heavily right skewed.