Title :
Project Process Sequencing Based on Dependency Structure Matrix (DSM)
Author :
Yang Qing ; Lv Jiefeng ; Huang Jianmei
Author_Institution :
Sch. of Econ. & Manage., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
This paper points out that the selection of the optimization objective function for Dependency Structure Matrix (DSM) sequencing optimization should not only consider the number and distance of the feedbacks, but also should take into consideration activity´s rework probabilities, costs and time. Furthermore, this paper proposes the activity´s ratio of cost to time and Rework Factor matrix as the optimization parameters, and proposes Total Coordination Cost (TCC) as the optimization objective function. An improved Genetic Algorithms (GAs) is used to help optimize the project. The simulation result indicates that the feedbacks and the total project costs can be significantly reduced using TCC as optimization objective function comparing to traditional optimization methods.
Keywords :
costing; genetic algorithms; probability; project management; DSM sequencing optimization; cost-to-time ratio; dependency structure matrix; genetic algorithm; optimization objective function; optimization parameter; project management; project process sequencing; rework factor matrix; rework probability; total coordination cost; total project cost; Conference management; Cost function; Couplings; Engineering management; Feedback; Genetic algorithms; Information science; Optimization methods; Project management; Technology management;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.857