Title :
Scheduling of design projects using artificial intelligence
Author :
Yan, Ji-hong ; Wu, Cheng
Author_Institution :
Nat. CIMS Eng. Res. Center, Tsinghua Univ., Beijing, China
Abstract :
Summary form only given. This paper studies the scheduling of design projects in a concurrent development process with uncertain number of feedback revisions. At first, definitions describing the concurrent activities are proposed for concurrent scheduling, they are the definitions of layer number of the activity, concurrent time and activity respectively. These definitions can describe the sequential relationships, resource constrained relationships between activities explicitly. Five rules for concurrent activity execution are given. On the basis of activity formulations, an optimization based methodology that combines heuristic algorithm, artificial intelligence (fuzzy, genetic algorithm) and scheduling theory is developed
Keywords :
artificial intelligence; design engineering; fuzzy set theory; genetic algorithms; project management; scheduling; artificial intelligence; concurrent activity execution rules; concurrent development process; concurrent scheduling; design projects scheduling; feedback revisions; fuzzy algorithm; genetic algorithm; heuristic algorithm; key factors; resource constrained relationships; scheduling theory; sequential relationships; Artificial intelligence; Computer integrated manufacturing; Design engineering; Feedback; Fuzzy logic; Genetic algorithms; Heuristic algorithms; Optimization methods; Scheduling algorithm; Time factors;
Conference_Titel :
Management of Engineering and Technology, 2001. PICMET '01. Portland International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
1-890843-06-7
DOI :
10.1109/PICMET.2001.952328