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Exploring of the consequences of human resources multitasking in industrial automation projects: a tool to mitigate impacts

机译:探索工业自动化项目中人力资源多任务处理的后果:一种减轻影响的工具

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Each industrial automation project includes tasks strongly depend on human factor many of which may belong to the critical path or chain of the project. Multitasking affects significantly human productivity. This reduction in productivity has as a direct result the delay of the primary task which may cause an overall delay to the project with cost and time overruns. A project should be seen in a global environment that of the company, where resources are shared among its portfolio of projects. Although multitasking might have negative results, it is something that cannot be eliminated, but it can be mitigated by project managers. This work presents the effects of multitasking in human productivity, especially when the tasks are complex, like PLC/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. Also, some real examples are given. A project manager faces a complex situation when they asked to decide 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 process which determines 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 type of projects. Future research could identify additional criteria and sub-criteria with different priority vectors, depending on different project specifications.
机译:每个工业自动化项目包括强烈依赖于人类因素的任务,其中许多可能属于项目的关键路径或链条。多任务处理会影响显着的人力生产率。生产率的降低具有直接结果的主要任务延迟可能导致项目的总体延迟,以成本和时间超支。应在公司的全球环境中看到一个项目,其中资源在其项目组合中共享资源。虽然多任务处理可能具有负面结果,但它是无法消除的,但它可以由项目经理减轻。这项工作提出了多任务处理在人力生产力中的影响,特别是当任务复杂时,如PLC / SCADA软件开发。使用分析层次处理(AHP)方法,创建一个简单的工具以由项目经理使用,以便在决策中提供帮助。引用影响这些决定的标准并提出了其优先级向导。此外,给出了一些真实的例子。当他们要求决定不同项目之间的资源和优先事项时,项目经理面临着复杂的情况。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应用程序有很多发布的作品,但工业自动化项目领域存在差距和相关项目经理的决策。本研究重点介绍这些决策过程,该过程确定了哪些任务应暂停或不符合资源的更好分配,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级向量的其他标准和子标准。

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