Development of an AI-based workflow to support competency-based resource planning of industrial projects
Development of an AI-based workflow to support competency-based resource planning of industrial projects r
Purpose – This paper explores the possibility of using tools and algorithms from the fields of machine learning and computational linguistics to assist the project manager in prospectively accurate estimation of resources in the project planning phase using the information from quality management systems and older completed projects.
Design/methodology/approach – A systematic analysis of the literature and research projects was carried out to survey the current application areas of NLP. For this purpose, a search in scientific databases such as GEPRIS, Google Scholar, IEEE Xplore, ScienceDirect, and SpringerLink was carried out in May 2021 for the observation period from 2012 to 2021.
Findings – The potential of NLP in combination with machine learning in the form of an AI workflow as a support for project management concerning competence-based resource planning in software development projects has been overlooked.
Originality/value – This is a systematic approach for competency-based project planning of industrial projects, which uses modern IT-based solutions from the field of artificial intelligence (AI) for support. By querying and analyzing information from quality management systems of the company regarding project roles, competencies of team members, etc. and combining and comparing this information with the company’s already completed projects, conclusions can be drawn regarding future projects.
Paper type: Research paper