Engineering Project Health Management: A Computational Approach for Project Management Support Through Analytics of Digital Engineering Activity

An Analytic Model for Organization Readiness of Engineering Project Management Based on Virtual Teams

 The Organization Readiness of Engineering Project Management Based on Virtual Teams has been analyzed in an Iranian Engineering firm. Adapting and analyzing the latest readiness model, experts’ opinions were received by questionnaires and main criteria of the readiness have been identified. The considered readiness criteria are: Infrastructure, Deliverables (Drawings, Reports, Minutes of Meeti...

Estimation of Project Completion Time and Factors Analysis for Concurrent Engineering Project Management: A Simulation Approach

In concurrent engineering projects, tasks are usually interdependent among each other that require much iteration before completion where the critical path method/program evaluation and review technique (CPM/PERT) may not be applicable to help estimate the project duration. In addition, carrying out a large-scaled project in a dynamic environment has to deal with various factors at the same tim...

Supporting Engineering Design Communication through a Social Media Tool – Insights for Engineering Project Management

A Systems Dynamics Model for Project Management systems of Project-Based Organization

It is obvious that the success of a project-based organization is dependent on its projects. A variety of tools such as the project excellence model, project management maturity models, the earned value method, have been developed in this regard, but there are still delays in projects because the projects have dynamic nature with non-linear relationships and feedback processes during the projec...

A CSCW and Project Management Tool for Learning Software Engineering

We present PEASE, a web-enabled, process-aware, combined CSCW/project management tool. PEASE is a special-purpose tool that is tailored for the learning methodology EASE. It fosters collaborative learning by strictly supporting the EASE practices. PEASE relies on an versioning data model that enables collective ownership and artifact orientation. Based on that data model, PEASE implements a set...