Management Science
Comment on “The Dynamics of plant layout”
Management Science
Strategic interpolative design of dynamic manufacturing systems layouts
Management Science
“The dynamics of plant layout”
Management Science
Genetic search and the dynamic facility layout problem
Computers and Operations Research - Special issue: heuristic, genetic and tabu search
Coping with the loss of pooling synergy in cellular manufacturing systems
Management Science
The Effects of Trailer Scheduling on the Layout of Freight Terminals
Transportation Science
Modeling and Analysis of Congestion in the Design of Facility Layouts
Management Science
Modeling and Analysis of Congestion in the Design of Facility Layouts
Management Science
Computers and Operations Research
Expert Systems with Applications: An International Journal
A genetic algorithm based heuristic for scheduling of virtual manufacturing cells (VMCs)
Computers and Operations Research
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A hybrid approach for dynamic routing planning in an automated assembly shop
Robotics and Computer-Integrated Manufacturing
A heuristic procedure for the integrated facility layout design and flow assignment problem
Computers and Industrial Engineering
A methodology to design virtual cellular manufacturing systems
Journal of Intelligent Manufacturing
Facility location via fuzzy modeling and simulation
Applied Soft Computing
Journal of Intelligent Manufacturing
Proceedings of the Winter Simulation Conference
Using simio for the specification of an integrated automated weighing solution in a cement plant
Proceedings of the Winter Simulation Conference
Hi-index | 0.00 |
Recent trends in industry suggest that existing layout configurations do not meet the needs of multiproduct enterprises and that there is a need for a new generation of factory layouts that are flexible, modular, and easy to reconfigure. Although most of the academic literature on layout design is based on a deterministic paradigm that assumes production requirements are known far in advance or change very little over time, a growing body of research focuses on designing layouts for dynamic and uncertain environments. An example is the research being carried out by the newly formed Consortium on Next Generation Factory Layouts (NGFL). The consortium, which involves multiple universities and several companies, is developing alternative layouts, new performance metrics, and new methods for designing flexible and reconfigurable factories.