Evolutionary and adaptive synthesis methods
Formal engineering design synthesis
A web-based service for distributed process planning optimization
Computers in Industry
A knowledge-based auto-reasoning methodology in hole-machining process planning
Computers in Industry
On-line Evolutionary Resource Matching for Job Scheduling in Heterogeneous Grid Environments
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 2
Constraint-based approach to investigate the process flexibility of food processing equipment
Computers and Industrial Engineering
A genetic algorithm based process planning system for mould base
International Journal of Computer Applications in Technology
International Journal of Intelligent Systems Technologies and Applications
A model for generating optimal process plans in RMS
International Journal of Computer Integrated Manufacturing - Digital Enterprise Technology: Perspectives and Future Challenges
Applications of particle swarm optimisation in integrated process planning and scheduling
Robotics and Computer-Integrated Manufacturing
Designing function blocks for distributed process planning and adaptive control
Engineering Applications of Artificial Intelligence
A Web-based process planning optimization system for distributed design
Computer-Aided Design
A knowledge-based auto-reasoning methodology in hole-machining process planning
Computers in Industry
A Web-based service for distributed process planning optimization
Computers in Industry
GA-based solutions comparison for warehouse storage optimization
International Journal of Hybrid Intelligent Systems - Advances in Intelligent Agent Systems
Modified genetic algorithms for manufacturing process planning in multiple parts manufacturing lines
Expert Systems with Applications: An International Journal
Genetic algorithms for improving material utilization in manufacturing
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Application of ant colony optimization algorithm in process planning optimization
Journal of Intelligent Manufacturing
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This paper presents a novel computer-aided process planning model for machined parts to be made in a job shop manufacturing environment. The approach deals with process planning problems in a concurrent manner in generating the entire solution space by considering the multiple decision-making activities, i.e., operation selection, machine selection, setup selection, cutting tool selection, and operations sequencing, simultaneously. Genetic algorithms (GAs) were selected due to their flexible representation scheme. The developed GA is able to achieve a near-optimal process plan through specially designed crossover and mutation operators. Flexible criteria are provided for plan evaluation. This technique was implemented and its performance is illustrated in a case study. A space search method is used for comparison