Modeling and Analysis for Uncertainty in Logistic Chains Based on Logical Time Petri Nets
A present logistic chain is a cooperative system with multiple partners. Batch processing function and passing value uncertainty are two important properties, and time-related schedulability analysis is key for improving efficiency of business operations in a cooperative logistic chain system. A log...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9026955/ |
| Summary: | A present logistic chain is a cooperative system with multiple partners. Batch processing function and passing value uncertainty are two important properties, and time-related schedulability analysis is key for improving efficiency of business operations in a cooperative logistic chain system. A logical time Petri net is proposed in order to model and analyze time-related property, batch processing function and passing value uncertainty in logistic chains. The analysis methods are presented for calculating time-related property for different types of transitions such as logical input transitions, logical output transitions and traditional transitions. An example of a logistic chain is given to illustrate the use of the proposed methods. |
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| ISSN: | 2169-3536 |