Enterprise application integration
Enterprise application integration
The expanding role of simulation in future manufacturing
Proceedings of the 33nd conference on Winter simulation
SIMUL8-planner for composites manufacturing
Proceedings of the 38th conference on Winter simulation
Generic simulation of automotive assembly for interoperability testing
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Modeling and simulation for customer driven manufacturing system design and operations planning
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
A simulation architecture for manufacturing interoperability testing
Proceedings of the 2007 Summer Computer Simulation Conference
Representing layout information in the CMSD specification
Proceedings of the 40th Conference on Winter Simulation
Iterative use of simulation and scheduling methodologies to improve productivity
Proceedings of the 40th Conference on Winter Simulation
Simulation-based sustainable manufacturing system design
Proceedings of the 40th Conference on Winter Simulation
Human-Computer Interaction: Development Process
Human-Computer Interaction: Development Process
Generation of alternatives for model predictive control in manufacturing systems
Proceedings of the Winter Simulation Conference
Generation of alternatives for model predictive control in manufacturing systems
Proceedings of the Winter Simulation Conference
Generation of alternatives for model predictive control in manufacturing systems
Proceedings of the Winter Simulation Conference
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Discrete-event simulation (DES) has mainly been used as a production system analysis tool to evaluate new production system concepts, layout and control logic. Recent developments have made DES models feasible for use in the day-to-day operational production and planning of manufacturing facilities. Operative simulation models provide manufacturers with the ability to evaluate the capacity of the system for new orders, unforeseen events such as equipment downtime, and changes in operations. A simulation-based Decision Support System (DSS) can be used to help planners and schedulers organize production more efficiently in the turbulent global manufacturing. This paper presents the challenges for development and the efforts to overcome these challenges for the simulation-based DSS. The major challenges are: 1) data integration 2) automated simulation model creation and updates and 3) the visualization of results for interactive and effective decision making. A recent case study is also presented.