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首页> 外文期刊>Organization, Technology and Management in Construction: an International Journal >Exploring the consequences of human multitasking in industrial automation projects: a tool to mitigate impacts – Part II
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Exploring the consequences of human multitasking in industrial automation projects: a tool to mitigate impacts – Part II

机译:探索工业自动化项目中人类多任务处理的后果:一种减轻影响的工具 - 第二部分

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摘要

Each industrial automation project includes tasks that strongly depend on human factors, many of which may belong to the critical path or chain of the project. Multitasking significantly affects human productivity. The reduction in productivity has a direct result of delaying the primary task, which may cause an overall delay to the project with cost and time overruns. A project should be seen with respect to a global environment, such as that of a company, where resources are shared among its portfolio of projects. Although multitasking might have negative results, it is something that cannot be eliminated but can be mitigated by project managers.This article presents the effects of multitasking on human productivity, especially when the tasks are complex, like programmable logic controller (PLC)/supervisory control and data acquisition (SCADA) software development. Using the analytical hierarchy process (AHP) method, a simple tool is created to be used by project managers, in order to assist them in decision-making. Criteria that influence these decisions are referenced, and their priority vectors are proposed. In addition, some real examples are given.Project managers face a complex situation when they are asked to decide on the allocation of resources and priorities among different projects. Parameters that are difficult to predict in real situations may have a significant role in the decision-making process.There are a lot of published works based on AHP applications in different fields, but there is a gap in the field of industrial automation projects and the related project manager’s decision-making. This study focuses on these decision-making processes that determine which tasks should be paused or not for a better allocation of resources, taking into account the global environment of a technical company. The tool can be implemented with changing criteria and priority vectors to adapt to different types of projects. Future research could identify additional criteria and subcriteria with different priority vectors, depending on different project specifications.This article is the extended version (Part II) of CCC 2017 Procedia Engineering paper.
机译:每个工业自动化项目包括强烈依赖人类因素的任务,其中许多可能属于项目的关键路径或链条。多任务处理显着影响人力生产率。生产率的降低具有延迟主要任务的直接导致,这可能会导致项目的总延迟,以成本和时间超支。应在全球环境中看到一个项目,例如公司的环境,其中资源在其项目组合中共享。虽然多任务处理可能会产生负面结果,但它是无法消除的,但可以由项目经理减轻。这篇文章提出了多任务处理对人力生产力的影响,特别是当任务复杂时,如可编程逻辑控制器(PLC)/监控器和数据采集(SCADA)软件开发。使用分析层次结构(AHP)方法,创建一个简单的工具以由项目经理使用,以便在决策中帮助它们。引用影响这些决定的标准,提出了他们的优先级向量。此外,给出了一些真实的例子.Project管理人员在被要求决定不同项目之间的资源和优先级分配时面临复杂的情况。在实际情况中难以预测的参数可能在决策过程中具有重要作用。基于不同领域的AHP应用程序很多发布的作品,但工业自动化项目领域存在差距和相关项目经理的决策。这项研究侧重于这些决策过程,确定应暂停哪些任务,以便更好地分配资源,同时考虑到技术公司的全球环境。该工具可以通过更改标准和优先级向量来实现,以适应不同类型的项目。根据不同的项目规范,未来的研究可以识别具有不同优先版本的附加标准和子系统,具体取决于不同的项目规范。这篇文章是CCC 2017年度程序工程纸的扩展版本(第二部分)。

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