Design Project Planning Method With Task Option Model and Two-Level Multi-Objective Optimization

Abstract

This paper proposes a new optimization-based project planning method that aims at a Pareto-optimal of the potential product performance of designed product and a project failure risk. A task option model is introduced for risk assessment of option-based project management. As its planning includes a number of various design variables and various evaluation indices, in order to solve such a complicated problem with a reasonable computation cost, this research separates the optimization problem into two phases, i.e., (i) defining of process architecture and organization structure and (ii) scheduling of resource allocation into activities. This paper demonstrates its application to a student formula design project. A proposed optimization method facilitates a project manager to explore various process plans with assessing their risks.