Research Article
An Evolutionary Game Model to Study Manufacturers and Logistics Companies’ Behavior Strategies for Information Transparency in Cold Chains
Table 10
Parameter settings for the simulation study.
| Category | No. | | | | | | | | | Evo-path |
| 1 | 1 | 1000 | 800 | 100 | 30 | 50 | 200 | 0.7 | 0.5 | Figure 5 | | 2 | 1000 | 800 | 100 | 30 | 50 | 200 | 0.5 | 0.5 | | 3 | 1000 | 800 | 200 | 70 | 50 | 200 | 0.5 | 0.6 | Table 6 | 4 | 1000 | 800 | 100 | 150 | 50 | 200 | 0.5 | 0.6 | | 5 | 1000 | 800 | 100 | 50 | 50 | 200 | 0.25 | 0.7 | | 6 | 1000 | 800 | 100 | 100 | 50 | 200 | 0.25 | 0.7 |
| 2 | 7 | 1000 | 800 | 100 | 45 | 100 | 200 | 0.8 | 0.6 | Figure 6 | | 8 | 1000 | 800 | 50 | 50 | 100 | 200 | 0.5 | 0.55 | | 9 | 1000 | 800 | 200 | 50 | 100 | 200 | 0.7 | 0.6 | Table 7 | 10 | 1000 | 800 | 200 | 90 | 100 | 200 | 0.7 | 0.6 | | 11 | 1000 | 800 | 200 | 60 | 100 | 200 | 0.3 | 0.6 | | 12 | 1000 | 800 | 100 | 100 | 100 | 200 | 0.15 | 0.6 |
| 3 | 13 | 1000 | 800 | 100 | 50 | 150 | 200 | 0.8 | 0.6 | Figure 7 | | 14 | 1000 | 800 | 50 | 50 | 120 | 200 | 0.25 | 0.45 | | 15 | 1000 | 800 | 200 | 50 | 120 | 200 | 0.25 | 0.45 | Table 8 | 16 | 1000 | 800 | 200 | 150 | 120 | 200 | 0.25 | 0.45 | | 17 | 1000 | 800 | 70 | 70 | 120 | 200 | 0.2 | 0.45 | | 18 | 1000 | 800 | 50 | 70 | 120 | 200 | 0.25 | 0.55 |
| 4 | 19 | 1000 | 800 | 100 | 40 | 120 | 200 | 0.75 | 0.25 | Figure 8 | | 20 | 1000 | 800 | 50 | 40 | 120 | 200 | 0.25 | 0.25 | | 21 | 1000 | 800 | 100 | 70 | 100 | 200 | 0.5 | 0.45 | Table 9 | 22 | 1000 | 800 | 100 | 120 | 100 | 200 | 0.5 | 0.45 | | 23 | 1000 | 800 | 100 | 50 | 100 | 200 | 0.25 | 0.45 |
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Note. evo-path = evolutionary path.
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