Paper Info
Title
A framework to design a human-centred adaptive manufacturing system for aging workers.
Abstract
A methodology to design an adaptive manufacturing system (AMS) is proposed.The designed AMS is human-centred and considers workers needs and working conditions.Knowledge-based rules and CBR algorithms allow the intelligent system adaptation.A virtual commissioning approach is used for simulation and features optimization.An industrial case study shows an example of human-centred AMS and demonstrates the benefits. The so-called smart manufacturing systems (SMS) combine smart manufacturing technologies, cyber-physical infrastructures, and data control to realize predictive and adaptive behaviours. In this context, industrial research focused mainly on improving the manufacturing system performance, almost neglecting human factors (HF) and their relation to the production systems. However, in order to create an effective smart factory context, human performance should be included to drive smart system adaptation in efficient and effective way, also by exploiting the linkages between tangible and intangible entities offered by Industry 4.0. Furthermore, modern companies are facing another interesting trend: aging workers. The age of workers is generally growing up and, consequently, the percentage of working 4564years old population with different needs, capabilities, and reactions, is increasing. This research focuses on the design of human-centred adaptive manufacturing systems (AMS) for the modern companies, where aging workers are more and more common. In particular, it defines a methodology to design AMS able to adapt to the aging workers needs considering their reduced workability, due to both physical and cognitive functional decrease, with the final aim to improve the human-machine interaction and the workers wellbeing. The paper finally presents an industrial case study focusing on the woodworking sector, where an existing machine has been re-designed to define a new human-centred AMS. The new machine has been engineered and prototyped by adopting cyber-physical systems (CPS) and pervasive technologies to smartly adapt the machine behaviour to the working conditions and the specific workers skills, tasks, and cognitive-physical abilities, with the final aim to support aging workers. The achieved benefits were expressed in terms of system usability, focusing on human-interaction quality.
Year
DOI
Venue
2017
10.1016/j.aei.2017.02.003
Advanced Engineering Informatics
Keywords
Field
DocType
Adaptive manufacturing systems, Aging workers, Cyber-physical systems, Human factors, Smart manufacturing systems, Usability
Population,Smart manufacturing,Linkage (mechanical),Smart system,Systems engineering,Software engineering,Manufacturing systems,Usability,Risk analysis (engineering),Cyber-physical system,Engineering,Data control
Journal
Volume
ISSN
Citations 
33
1474-0346
7
PageRank 
References 
Authors
0.65
15
2
Name
Order
Citations
PageRank
Margherita Peruzzini13310.93
marcello pellicciari2236.03