The value of simulation in modeling supply chains
Proceedings of the 30th conference on Winter simulation
Supply chain simulation with discrete-continuous combined modeling
Computers and Industrial Engineering - Supply chain management
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Operations Research
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A multi-agent knowledge model for SMEs mechatronic supply chains
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Learning by gaming: supply chain application
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Different modeling and simulation approaches applied to industrial process plants
Proceedings of the Emerging M&S Applications in Industry & Academia / Modeling and Humanities Symposium
Investigating the behavior of a shop order manufacturing sistem by using simulation
Proceedings of the Emerging M&S Applications in Industry & Academia / Modeling and Humanities Symposium
SCOlog: A logic-based approach to analysing supply chain operation dynamics
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
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The paper presents an advanced modeling approach and a simulation model for supporting supply chain management. The first objective is to develop a flexible, time-efficient and parametric supply chain simulator starting from a discrete event simulation package. To this end we propose and advanced modeling approach. The second objective is to provide a decision making tool for supply chain management. The simulator is a decision making tool capable of analyzing different supply chain scenarios by using an approach based on multiple performance measures and user-defined set of input parameters. Our simulator capabilities as decision making tool are strongly amplified if Design of Experiment (DOE) and Analysis of Variance (ANOVA) are respectively used for experiments planning and simulation results analysis. With regard to supply chain decision making process, we propose an application example for a better understanding of tool potentials. The application example considers a specific supply chain scenario and analyzes the effects of inventory control policies, lead times, customers' demand intensity and variability, on three different supply chain performance measures.