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A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization

机译:基于多目标遗传2型模糊逻辑的移动野外作业区域优化系统

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摘要

In industries which employ large numbers of mobile field engineers (resources), there is a need to optimize the task allocation process. This particularly applies to utility companies such as electricity, gas and water suppliers as well as telecommunications. The process of allocating tasks to engineers involves finding the optimum area for each engineer to operate within where the locations available to the engineers depends on the work area she/he is assigned to. This particular process is termed as work area optimization and it is a sub-domain of workforce optimization. The optimization of resource scheduling, specifically the work area in this instance, in large businesses can have a noticeable impact on business costs, revenues and customer satisfaction.
机译:在雇用大量移动现场工程师(资源)的行业中,需要优化任务分配过程。这尤其适用于公用事业公司,例如电力,天然气和水的供应商以及电信。向工程师分配任务的过程涉及为每个工程师找到最佳工作区域,在该区域内工程师可用的位置取决于他/他所分配的工作区域。此特定过程称为工作区优化,它是劳动力优化的一个子领域。在大型企业中,优化资源调度(尤其是本例中的工作区域)会对业务成本,收入和客户满意度产生显着影响。

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