Design and Application of Genetic Algorithm Based on Signal Game and Newsboy Model for Optimizing Supply Chain
Reasonable communication and cooperation between enterprises are helpful for the efficient operation of a supply chain. To explore the maximum utility of an entire supply chain, we propose a supplier-manufacturer-seller supply-chain game decision-making model. We use the model as the fitness functio...
| Published in: | Discrete Dynamics in Nature and Society |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Online Access: | http://dx.doi.org/10.1155/2021/6144258 |
| Summary: | Reasonable communication and cooperation between enterprises are helpful for the efficient operation of a supply chain. To explore the maximum utility of an entire supply chain, we propose a supplier-manufacturer-seller supply-chain game decision-making model. We use the model as the fitness function of a genetic algorithm that calculates the optimal solution and optimizes the total utility parameters. We analyze the theoretical and practical properties of the supply-chain optimization process and implement it in MATLAB, which provides quantitative support and useful references for making business decisions and optimally managing a supply chain. |
|---|---|
| ISSN: | 1026-0226 1607-887X |