Estimating Design Effort Needs of Product Design Projects Using Captured Expert Knowledge – A Proposed Method

Abstract

The quick and accurate estimation of design effort can be make or break for all but the largest of product design consultancies. Traditional design project planning see designers being taken away from the metaphorical drawing board to spend time assessing project briefs and estimating workloads. Typically these designers base these estimates on their tacit knowledge and experience, and for the most part, they are accurate. However, this is time-consuming and therefore (indirectly) costly, as time spent planning, is not time spent designing. Many more sophisticated approaches for estimating design effort have been developed, but many require large bodies of past data and sophisticated analysis, such as artificial neural networks; and others have highly-specific use cases.This paper proposes a new method to develop a design effort estimation tool for product design consultancies. This method captures the tacit knowledge and experience of design team members and the tool replicates it quickly and effectively; graphically modelling factors that influence design effort needs in product design projects.

An optimized artificial neural network for estimating design effort of jigs and fixtures used in aviation industry

“…In a study of dataless design forecasting, a contribution was made in project management and project costing by using a fast and effective method that evaluates the tacit knowledge and experience of the design teams with an analytical method [10].…”