Date of Award
Doctor of Philosophy
Industrial and Manufacturing Systems Engineering
John K. Jackman
Douglas D. Gemmill
The pressure to reduce product development time has increased due to rapidly changing technology and customer's needs. Therefore, a shortened product development time has become a critical issue for many enterprises. Being first to market is a major strategy for establishing product identity and capturing market share. Axiomatic design can be used to structure the design processes and reduce the complexity of product development. Using a hierarchical design structure tree (DST) created using design axioms, several theorems have been derived for modeling the product development process. These theorems capture successive iterations of design activities and provide a basis for a hierarchical probabilistic model-generating (HPMG) algorithm. This algorithm can be used to generate probabilistic models for every task in a DST. These models provide a mechanism to forecast the expected time window of a design project or design tasks in a project and assess the impact of design decisions. In addition, the derived theorems and the developed algorithms can also be employed to predict a general process with a hierarchical tree structure in which certain assumptions are made.
Digital Repository @ Iowa State University, http://lib.dr.iastate.edu
Lai, Yi-Chiuan, "A general stochastic model for product development processes " (2002). Retrospective Theses and Dissertations. 393.