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首页> 外文期刊>International Journal of Production Research >Distributed allocation of the capacity of a single-facility using cooperative interaction via coupling agents
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Distributed allocation of the capacity of a single-facility using cooperative interaction via coupling agents

机译：通过耦合代理进行协作交互，对单个设施的容量进行分布式分配

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摘要

This paper considers the problem associated with the allocation of the finite capacity of a single facility among different business organizations under partial information sharing. In distributed allocation, the decision authorities and system information are dispersed amid organizations and a facility, i.e. no organization requires explicit access to system-wide information in order to allocate effectively the capacity of the shared facility. The lack of explicit information access is compensated by the careful exchange of information among organizations via the shared facility; i.e. cooperative interaction. The facility resolves conflicting interests among organizations on capacity usage and directs locally optimized solutions to a globally optimized solution. The distributed decision making problems associated with each organization and the facility are formulated as linear programs. The proposed cooperative algorithm is tested under two levels of information sharing: when the capacity information of the facility is unknown to organizations, and when partial capacity information of the facility is known to organizations. Experimental results suggest that even in this restricted information environment, the proposed method yields solutions that are comparable to those obtained with methodologies that require unrestricted access to information.
机译：本文考虑与部分信息共享下不同业务组织之间的单个设施的有限容量分配相关的问题。在分布式分配中，决策机构和系统信息分散在组织和设施中，即，没有组织需要显式访问系统范围的信息来有效分配共享设施的容量。通过共享设施在组织之间进行认真的信息交换可以弥补缺乏明确信息访问的不足；即合作互动。该功能解决了组织之间在容量使用方面的利益冲突，并将本地优化的解决方案定向到全局优化的解决方案。与每个组织和设施相关的分布式决策问题被表述为线性程序。在两个信息共享级别下对提出的协作算法进行了测试：组织对设施的能力信息未知，组织对设施的部分能力信息已知。实验结果表明，即使在这种受限的信息环境中，所提出的方法所产生的解决方案也可以与那些需要不受限制地访问信息的方法所获得的解决方案相提并论。

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