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Study on Logistic Service Supply Chain Task Allocation Based on MAS

机译:基于MAS的物流服务供应链任务分配研究

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The task allocation is the most important decision of the supply chain strategy. The paper-starts from proceeds with the logistic service supply chain (LSSC) collaboration model based on Multi-Agent System (MAS) to analyze the characteristics of LSSC task allocation. According to the Markov property in the problem, the paper builds a task allocation of LSSC model by using the Markov Decision Process (MDP). Then, the paper proposes an algorithm based on iterative algorithm for solving the model. The paper provides a reference for studying the task allocation of LSSC quantitatively.
机译:任务分配是供应链策略最重要的决定。该纸张从返回的逻辑服务供应链(LSSC)协作模型的返回开始,基于多代理系统(MAS)来分析LSSC任务分配的特征。根据Markov属性在问题中,通过使用Markov决策过程(MDP)构建了LSSC模型的任务分配。然后,本文提出了一种基于迭代算法来解决模型的算法。本文提供了用于学习LSSC的任务分配的参考。

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