Artificial intelligence (3rd ed.)
Artificial intelligence (3rd ed.)
Teaching simulation using case studies
Proceedings of the 32nd conference on Winter simulation
XML: The Annotated Specification
XML: The Annotated Specification
Simulation with Arena
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Simulation in shipyards: simulation of shipbuilding operations
Proceedings of the 33nd conference on Winter simulation
Simulation standards: a framework for standard modular simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 35th conference on Winter simulation: driving innovation
A framework for standard modular simulation in semiconductor wafer fabrication systems
WSC '05 Proceedings of the 37th 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
Tradeoffs in building a generic supply chain simulation capability
Proceedings of the 40th Conference on Winter Simulation
Multi criteria preventive maintenance scheduling through arena based simulation modeling
Winter Simulation Conference
Manual assembly line operator scheduling using hierarchical preference aggregation
Proceedings of the Winter Simulation Conference
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Manufacturing managers typically commission simulation case studies to support their decision-making processes. These studies are used to evaluate alternative solutions to manufacturing problems in areas such as plant layout, scheduling, capacity planning, capital equipment acquisition, inventory management, and supply chain planning. Procedures for performing case studies vary from organization to organization, and situation to situation. It is possible that two different simulation analysts faced with the same manufacturing problem would perform their case studies differently, obtain different results, and reach different conclusions. The authors contend that standardization of the case study methodology and development of generic case studies would increase the likelihood that the simulation process will be deterministic, i.e., produce repeatable results. This paper presents background on case studies and makes recommendations concerning the advancement of manufacturing simulation case study methods and practices.