CSCAT: the Compaq Supply Chain Analysis Tool
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Simulation in the supply chain context: a survey
Computers in Industry
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
Proceedings of the 35th conference on Winter simulation: driving innovation
Easy-SC: a supply chain simulation tool
WSC '04 Proceedings of the 36th conference on Winter simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
Distributing a large-scale, complex FAB simulation using HLA and Java: issues and lessons
WSC '04 Proceedings of the 36th conference on Winter simulation
Risk management in supply networks using monte-carlo simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
A supply chain paradigm to model business pprocesses at the Y-12 National Security Complex
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Simulation modelling as a dynamic operational decision support tool for manufacturing systems
AsiaMS '07 Proceedings of the IASTED Asian Conference on Modelling and Simulation
Proceedings of the Winter Simulation Conference
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This paper presents a literature survey on recent use of discrete-event simulation in real-world manufacturing logistics decision-making. The sample of the survey consists of 52 relevant application papers from recent Winter Simulation Conference proceedings. We investigated what decisions were supported by the applications, case company characteristics, some methodological issues, and the software tools used. We found that the majority of applications has been reported in production plant design and in the evaluation of production policies, lot sizes, WIP levels and production plans/schedules. Findings also suggest that general-purpose DES software tools are suitable in most of these cases. For different possible reasons, few applications for multi-echelon supply chain decision-making have been reported. Software requirements for supply chain simulations also seem to differ slightly from those for established application areas. The applications described were carried out in a variety of different industries, with a clear predominance in the semiconductor and automotive industries.