Simulation of manufacturing systems
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Automation, Production Systems, and Computer-Integrated Manufacturing
Automation, Production Systems, and Computer-Integrated Manufacturing
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Generic simulation of automotive assembly for interoperability testing
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Representing layout information in the CMSD specification
Proceedings of the 40th Conference on Winter Simulation
Simulation-based sustainable manufacturing system design
Proceedings of the 40th Conference on Winter Simulation
Linking ergonomics simulation to production process development
Proceedings of the 40th Conference on Winter Simulation
A model for types and levels of human interaction with automation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
PerMIS '09 Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems
Interoperability for simulation of sustainable manufacturing
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Formal tasks and systems models as a tool for specifying and assessing automation designs
Proceedings of the 1st International Conference on Application and Theory of Automation in Command and Control Systems
Framework for ecolabeling using discrete event simulation
Proceedings of the 2012 Symposium on Emerging Applications of M&S in Industry and Academia Symposium
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Handling flexibility in an ever changing manufacturing environment is one of the key challenges for a successful industry. By using tools for virtual manufacturing, industries can analyze and predict outcomes of changes before taking action to change the real manufacturing systems. This paper describes a simulation tool that can be used to study the effect of level of automation issues on the design of manufacturing systems, including their effect on the overall system performance, ergonomics, environment, and economic measures. Determining a suitable level of automation can provide a manufacturing system with the flexibility needed to respond to the unpredictable events that occur in factory systems such as machine failures, lack of quality, lack of materials, lack of resources, etc. In addition, this tool is designed to use emerging simulation standards, allowing it to provide a neutral interface for both upstream and downstream data sources.