Entity-relationship and object-oriented model automatic clustering
Data & Knowledge Engineering
ACM Computing Surveys (CSUR)
Grouping genetic algorithms: an efficient method to solve the cell formation problem
Mathematics and Computers in Simulation - Special issue from the IMACS/IFAC international symposium on soft computing methods and applications: “SOFTCOM '99” (held in Athens, Greece)
Text Database Discovery on the Web: Neural Net Based Approach
Journal of Intelligent Information Systems
A Methodology for Clustering Entity Relationship Models - A Human Information Processing Approach
ER '99 Proceedings of the 18th International Conference on Conceptual Modeling
Integrating Knowledge in Groups: How Formal Interventions Enable Flexibility
Organization Science
EMG-Based Motion Discrimination Using a Novel Recurrent Neural Network
Journal of Intelligent Information Systems
Clustering Algorithms and Validity Measures
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
Understanding software project risk: a cluster analysis
Information and Management
Voice-based gender identification in multimedia applications
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
A hybrid grouping genetic algorithm for the cell formation problem
Computers and Operations Research
Creativity in innovative projects: How teamwork matters
Journal of Engineering and Technology Management
Fuzzy quality-team formation for value added auditing: A case study
Journal of Engineering and Technology Management
A multi-objective scatter search for a dynamic cell formation problem
Computers and Operations Research
Computers and Operations Research
Expert Systems with Applications: An International Journal
Genetic algorithm approach for solving a cell formation problem in cellular manufacturing
Expert Systems with Applications: An International Journal
A team formation model based on knowledge and collaboration
Expert Systems with Applications: An International Journal
Forming effective worker teams with multi-functional skill requirements
Computers and Industrial Engineering - Special issue: Group technology/cellular manufacturing
Clustering: A neural network approach
Neural Networks
Assimilation patterns in the use of electronic procurement innovations: A cluster analysis
Information and Management
What do we know about mobile Internet adopters? A cluster analysis
Information and Management
A fuzzy-genetic decision support system for project team formation
Applied Soft Computing
Team formation based on group technology: A hybrid grouping genetic algorithm approach
Computers and Operations Research
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Business process reengineering BPR involves the radical redesign of functional organizations into cross-functional teams to achieve dramatic improvements in productivity. Redesigning complex and dynamic processes in research and development R&D organizations with multi-layer projects is a difficult task. Previous researchers have proposed many intuitive approaches for BPR utilizing intuition and subjective judgment from "experts" at various stages of their implementation. However, the complexities inherent in large R&D organizations have restricted the effectiveness of their use in practice. The authors present an automated and structured analytic algorithm that eliminates the need for subjective human judgment. The proposed method facilitates the reorganization of R&D processes into cross-functional work units and projects. The efficacy of the algorithm is confirmed with a small problem and the applicability of the proposed method is demonstrated at the Air Force Research Laboratory.