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A Hybrid AI Approach to Staff Scheduling

机译:员工调度的混合AI方法

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Assigning staff to specific duties according to their contract, qualifications, skills, etc. within a working environment characterised by multi-disciplinarity and statutory regulations is problematic. This paper discusses an approach to nurse rostering, using a strategy of distributing the computational effort required in the scheduling process. The technique involves a hybrid approach that devolves responsibility for different aspects of the problem. In the pre-processing stage, the staff to be rostered are treated as semi-autonomous agents, each equipped with heuristics to guide their initial assignment. Compilation of individual rosters is followed by a scheduling phase in which a constraint solving agent applies constraint logic programming (CLP) techniques in the generation of 'acceptable' rosters.
机译:在具有多学科性和法律法规的工作环境中,根据合同,资历,技能等将人员分配给特定职责是有问题的。本文讨论了一种使用分配计划过程中所需的计算工作量的策略进行护士排班的方法。该技术涉及一种混合方法,该方法分散了对问题不同方面的责任。在预处理阶段,将要入职的员工被视为半自治代理,每个代理均配备了启发式方法以指导其初始任务。各个花名册的编译之后是调度阶段,在此阶段,约束求解代理在“可接受”花名册的生成中应用约束逻辑编程(CLP)技术。

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