Analysis of the use of artificial intelligence in the management of Industry 4.0 projects. The perspective of Polish industry

IF 1.9 Q3 ENGINEERING, INDUSTRIAL Production Engineering Archives Pub Date : 2022-02-12 DOI:10.30657/pea.2022.28.07
Bartosz Wachnik
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引用次数: 7

Abstract

Abstract Artificial Intelligence (AI) supports project management in industry projects increasingly more often. The article documents research results regarding the use of AI in Industry 4.0 projects. The aim of the article is to define the range of AI use in Industry 4.0 projects throughout their entire life cycle and to indentify the main stages of AI development in project management. Additionally, the article indicates the main barriers to AI use in project management identified in the studied projects. In order to identify and systemise the range of AI use, the Conceptual Framework of Using AI in Project Management presented in literature is applied. Research results indicate that we are in the early stages of AI use in projects. The studied projects use AI mainly in project administration, i.e. to complete the following tasks: simple automation of routine activities, support, and, to a very limited extent, in the area of project management, i.e. in identifying anomalies and predicting the phenomena where the anomalies will occur. The research uses the case study method, where four projects were studied: an ERP system upgrade, an implementation of an IT system supporting high-bay warehouse management, an implementation of an IoT as a data-collection sensor platform and an E-learning platform implementation. The study was conducted between 2019 and 2021, and covered the entire project life cycle, including its three stages, i.e. preparation, implementation and operation.
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人工智能在工业4.0项目管理中的应用分析。波兰工业的前景
摘要人工智能(AI)越来越多地支持行业项目的项目管理。本文记录了人工智能在工业4.0项目中的应用研究结果。本文的目的是定义人工智能在工业4.0项目的整个生命周期中的使用范围,并确定项目管理中人工智能发展的主要阶段。此外,文章指出了在研究项目中发现的人工智能在项目管理中使用的主要障碍。为了识别和系统化人工智能的使用范围,应用了文献中提出的在项目管理中使用人工智能的概念框架。研究结果表明,我们正处于人工智能在项目中使用的早期阶段。所研究的项目主要在项目管理中使用人工智能,即完成以下任务:日常活动的简单自动化、支持,以及在非常有限的范围内,在项目管理领域,即识别异常并预测异常发生的现象。该研究采用案例研究方法,研究了四个项目:ERP系统升级、支持高位仓库管理的IT系统实施、物联网作为数据收集传感器平台的实施和电子学习平台的实施。该研究于2019年至2021年期间进行,涵盖了整个项目生命周期,包括准备、实施和运营三个阶段。
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来源期刊
Production Engineering Archives
Production Engineering Archives Engineering-Industrial and Manufacturing Engineering
CiteScore
6.10
自引率
13.00%
发文量
50
审稿时长
6 weeks
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