Modeling and simulation
Supply chain simulation with LOGSIM-simulator
Proceedings of the 30th conference on Winter simulation
The value of simulation in modeling supply chains
Proceedings of the 30th conference on Winter simulation
Experience using the IBM supply chain simulator
Proceedings of the 30th conference on Winter simulation
CSCAT: the Compaq Supply Chain Analysis Tool
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
eSCA: a thin-client/server/Web-enabled system for distributed supply chain simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Introduction to Simulation Using SIMAN
Introduction to Simulation Using SIMAN
Supporting simulation-based decision making with the use of AHP analysis
WSC '05 Proceedings of the 37th conference on Winter simulation
An advanced supply chain management tool based on modeling and simulation
Computers and Industrial Engineering
Disruptions in information flow: a revenue costing supply chain dilemma
Journal of Theoretical and Applied Electronic Commerce Research
Applicability of hybrid simulation to different modes of governance in UK healthcare
Proceedings of the 40th Conference on Winter Simulation
Capacity expansion decision in supply chains: A control theory application
International Journal of Computer Integrated Manufacturing - THE CHALLENGES OF MANUFACTURING IN THE GLOBALLY INTEGRATED ECONOMY. GUEST EDITOR: ROBIN G. QIU
Development of web-based simulator for supply chain management
Winter Simulation Conference
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
A multi-agent knowledge model for SMEs mechatronic supply chains
Journal of Intelligent Manufacturing
Supply chain carbon footprint tradeoffs using simulation
Proceedings of the Winter Simulation Conference
Enterprise scheduling: hybrid and hierarchical issues
Proceedings of the Winter Simulation Conference
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Many simulation models have been built to facilitate the use of simulation in designing, evaluating, and optimizing supply chains. Simulation is preferred to deal with stochastic natures existing in the supply chain. Moreover, simulation has a capability to find a local optimum value within each component through the entire supply chain. Most supply chain simulation models have been developed on the basis of discrete-event simulation. Since supply chain systems are neither completely discrete nor continuous, the need for constructing a model with aspects of both discrete-event and continuous simulation is provoked, resulting in a combined discrete-continuous simulation. In this paper, architecture of combined modeling for supply chain simulation is proposed, which includes the equation of continuous portion in the supply chain and how these equations can be used in the supply chain simulation models. The simple example of a supply chain model dealing with the strategic level of the supply chain presented in this paper shows the possibility and the prospect of this approach.