| Περίληψη: | Industry 4.0 has created several challenges for the human element in the working environment.
With the Industry 5.0 emerging, the workforce receives an even more necessary role, of
integrating the technology to the everyday operations of a production unit and ensure that the
adoption of novel solutions is successful, while on the same time change their role, from
performing tasks to innovating and solving complex problems. Taking into consideration that the
human operator shift their focus to more creative and strategic jobs, the task allocation process
will face new challenges and technological advancements should provide solutions for them.
Now, jobs are assigned to people based on the supervisor’s intuition and judgement, wasting
important time from defining the task till finding the most qualified employee for the specific job,
and lacking documentation of the decision-making process. Although, competencies have been
discussed thoroughly over the past few years, there is still room for improvement in measuring
and comparing different competencies of human operators, engineers, technicians, and using
the results to manage human capital. To uncover the potential of the task allocation, process the
competencies will be used as decision-making criteria, aiming to achieve the best possible
performance, through an automated system to assist the project manager find the optimal
division of tasks to the available human resources, based on their competencies. The proposed
framework can be applied both on a project and on a production line because it can be performed
with real-time data and task allocation methodologies are the same for them, with the only
difference being the task duration. In order to validate the applicability of the proposed
framework and the generated algorithm, a case study derived from a maritime company has
been examined, with the objective to allocate in the optimal way seafarers to vessels and
maintain a balanced competency level among the fleet.
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