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A hybrid solution to collaborative decision-making in a decentralized supply-chain

机译:去中心化供应链中协作决策的混合解决方案

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This paper considers a decentralized supply chain, where multiple independent manufacturing facilities manage some capital-intensive equipments or resources shared among them. In particular, these manufacturing facilities operate somewhat in isolation to serve their own customers, but coordinate closely with each other to ensure the shared resources are effectively utilized. Such cross-facility capacity management problems are common in high-tech industries, they are typical examples of collaborative decision-making in supply chain integration, and are critical to create a competitive edge in a more interconnected business environment. In this paper, a hybrid algorithm that integrates Lagrangian relaxation and immunity-inspired coordination scheme, known as LR-ICI, is proposed and investigated by extensive numerical experiments, and is shown to be competitive compared to similar algorithms.
机译:本文考虑了分散的供应链,其中多个独立的制造工厂管理着一些资本密集型设备或它们之间共享的资源。尤其是,这些制造工厂在某种程度上孤立地运作以服务于其自己的客户,但彼此紧密协作以确保有效利用共享资源。这种跨设施的容量管理问题在高科技行业中很常见,它们是供应链集成中协作决策的典型示例,对于在更加互连的业务环境中创造竞争优势至关重要。在本文中,提出了一种结合拉格朗日松弛和免疫启发性协调方案的混合算法,称为LR-ICI,并通过大量的数值实验进行了研究,与同类算法相比,该算法具有竞争优势。

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