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首页> 外文期刊>American journal of applied sciences >Providing Fairness to Mobile Workforces in an Automated Task Allocation Process: A Semantic Multi-agent Approach
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Providing Fairness to Mobile Workforces in an Automated Task Allocation Process: A Semantic Multi-agent Approach

机译：在自动任务分配过程中为移动劳动力提供公平：语义多主体方法

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摘要

Problem statement: Mobile Workforces (MW) unlike computational resources of an automated system are active but not passive entities. Therefore, an automated resource allocation system that deals with MWs should assign tasks to them fairly and in a comparatively equal manner. An unfair task allocation in a group will cause dissatisfaction, which in turn demotivates MWs who are supposed to work as a team. Approach: In an automated Mobile Workforce Brokering System (MWBS) tasks are automatically assigned to MWs at Run-Time phase of the system's run. However, the environmental risks specifically risk of disconnection disrupts the task allocation process. Disconnection causes unfair task allocation when an MW must carry the next upcoming task according to a rotator work schedule, but he is disconnected. In this situation another MW has to perform the task in order to satisfy a pre-planned daily workload. Results: In this study we explore through the Run-Time phase of MWBS and explain how its underpinning ontology-driven coordination model tackles the risk of disconnection and improves the fairness in the task allocation process. Conclusion: Moreover, fairness rates in task allocation processes are compared between an existing system and MWBS and improvement in fairness rate is shown and analyzed for 4 consecutive periods (months) of the system's run.
机译：问题陈述：与自动化系统的计算资源不同，移动劳动力（MW）是主动实体，而不是被动实体。因此，处理MW的自动化资源分配系统应公平且以相对相等的方式为其分配任务。小组中不公平的任务分配会引起不满，反过来又会使原本应该作为团队工作的MW失去动力。方法：在自动化的Mobile Workforce Brokering System（MWBS）中，在系统运行的运行时阶段，将任务自动分配给MW。但是，环境风险，特别是断开连接的风险会破坏任务分配过程。当MW必须根据轮转员的工作计划承担下一个即将执行的任务时，断开连接会导致任务分配不公平，但是他已断开连接。在这种情况下，另一个MW必须执行任务才能满足预先计划的日常工作量。结果：在本研究中，我们探索了MWBS的运行时阶段，并解释了其基础本体驱动的协调模型如何解决断开连接的风险并提高任务分配过程的公平性。结论：此外，在现有系统和MWBS之间比较了任务分配过程中的公平率，并在系统运行的连续四个月（月）中显示并分析了公平率的提高。

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