title: Multiple R&D projects scheduling optimization with improved particle swarm algorithm.
abstract: For most enterprises, in order to win the initiative in the fierce competition of market, a key step is to improve their R&D ability to meet the various demands of customers more timely and less costly. This paper discusses the features of multiple R&D environments in large make-to-order enterprises under constrained human resource and budget, and puts forward a multi-project scheduling model during a certain period. Furthermore, we make some improvements to existed particle swarm algorithm and apply the one developed here to the resource-constrained multi-project scheduling model for a simulation experiment. Simultaneously, the feasibility of model and the validity of algorithm are proved in the experiment.
authors.affiliation: School of Business Administration, Hunan University, Changsha, Hunan 410082, China.
authors.forename: Mengqi
authors.initials: M
authors.lastname: Liu
authors.affiliation: School of Business Administration, Hunan University, Changsha, Hunan 410082, China.
authors.forename: Miyuan
authors.initials: M
authors.lastname: Shan
authors.affiliation: School of Business Administration, Hunan University, Changsha, Hunan 410082, China.
authors.forename: Juan
authors.initials: J
authors.lastname: Wu
mesh_terms: D008962:Models, Theoretical; D010561:Personnel Staffing and Scheduling; D012106:Research / Q000191:economics / Q000458:organization & administration* / Q000592:standards