Towards a Decision Support System for Project Planning: Multi-Criteria Evaluation of Past Projects Success

Miha Hafner and Marko Bohanec

Abstract
Project planning typically refers to the project management step in which project assets, timelines, budgets, milestones, subcontractors, etc., are determined before the new project starts. In this paper, we address infrastructure design projects in the context of a specific company (Elea iC) and explore the idea of using data about past-finished projects to help project managers and project leaders in project planning. A crucial requirement in this context is the ability to evaluate/assess the success of finished/new projects. This paper proposes a solution using a multi-criteria model to evaluate finished projects. This way, we add project success information to the finished projects database, which we shall use in the decision support system being designed to extract knowledge for the new project plan.