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Model of stochastic spanning revenue-sharing contracts for multi-echelon supply chains

机译:多梯队供应链的随机跨越收入合同模型

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We consider a stochastic demand problem under a fixed-price newsvendor setting. We investigate revenue-sharing contract models that could be implemented to coordinate all supply chain actors in a decentralized decision-making supply chain in order to act together coherently. We develop and compare two revenue-sharing contract models: a pairwise contract model between two players in each echelon and a spanning contract model that covers all echelons. In the last model, we assume that the most downstream entity initiates a single contract involving all upstream entities. Our numerical experiments show that in the decentralized condition, the most upstream entity will have the biggest percentage of revenue, while the most downstream one will receive the smallest. We also demonstrate that in these two types of contracts, all of the entities could have a bigger profit in the decentralized condition than that in the centralized one.
机译:我们在固定价格新闻国设置下考虑随机需求问题。我们调查了可以实施的收入共享合同模型,以协调分散的决策供应链中的所有供应链演员,以便连同行动。我们开发和比较两个收入共享合同模型:每个梯队的两个玩家之间的成对合同模型和涵盖所有梯度的跨度合同模型。在最后一个模型中,我们假设最下游的实体发起了涉及所有上游实体的单一合同。我们的数值实验表明,在分散的条件下,最上游的实体将具有最大的收入百分比,而最下游的一个人将获得最小的收益。我们还证明,在这两种类型的合同中,所有实体都可以在分散的条件下具有比集中在一起的更大的利润。

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