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About Analysis of The Performance of Inventory Management Systems Using The SCOR Model and Batch Deterministic and Stochastic Petri Nets
This article discusses combining the Supply Chain Operations Reference (SCOR) model and Batch Deterministic and Stochastic Petri Nets (BDSPNs) to model and analyze the performance of inventory management systems. BDSPNs extend deterministic stochastic Petri nets by adding batch places and tokens to model batch behavior. The authors apply these tools to model a typical inventory management system in order to calculate performance indicators like average stock, average cost of stock, probability of empty stock, and average supply frequency. Combining SCOR and BDSPNs provides a powerful way to both model and evaluate the performance of inventory management systems and supply chains.
Detailed Information
| Author: | ['Leticia Anali'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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