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Exploring the potential of Operator 4.0 interface and monitoring

Published on Dec 1, 2018in Computers & Industrial Engineering 3.52
· DOI :10.1016/j.cie.2018.12.047
Margherita Peruzzini9
Estimated H-index: 9
(University of Modena and Reggio Emilia),
Fabio Grandi2
Estimated H-index: 2
(University of Modena and Reggio Emilia),
Marcello Pellicciari13
Estimated H-index: 13
(University of Modena and Reggio Emilia)
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Abstract
Abstract In the context of smart factories, where intelligent machines share data and support enhanced functionalities at a factory level, workers are still seen as spectators rather than active players (Hermann, Pentek, & Otto, 2017). Instead, Industry 4.0 represents a great opportunity for workers to become part of the intelligent system; on one hand, operators can generate data to program machines and optimize the process flows, on the other hand they can receive useful information to support their work and cooperate with smart systems (Romero et al., 2016). Diversely from machines, humans are naturally smart, flexible and intelligent, so putting the operators in the digital loop can bring more powerful and efficient factories. The paper aims at defining a theoretical human-centered framework for Operator 4.0, and testing its feasibility and impact on companies, thanks to the integration of human factors in 4.0 computerized industrial contexts. The proposed framework is based on data collection about the workers’ performance, actions and reactions, with the final objective to improve the overall factory performance and organization. Data are used to assess the workers’ ergonomics performance and perceived comfort and to build a proper knowledge about the human asset of the factory, to be integrated with the knowledge derived from machine data collection. The framework is cased on the adoption of an Operator 4.0 monitoring system, which consists of an eye tracking and a wearable biosensor, combined to a proper protocol analysis to interpret data and create a solid knowledge. Virtual prototypes are used to make the workers interact with the digital factory to conveniently simulate the human–machine interaction (HMI) in order to avoid bottlenecks at the shop floor, to optimize the workflows, and to improve the workstations’ design and layout. The study represents a step toward the design of human-centred industrial systems, including human factors in the digital twin. The research approach has been successfully tested on an industrial case study, developed in collaboration with CNH Industrial, for the re-design of assembly workstations.
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References67
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Published on Sep 22, 2017
Sandra Mattsson7
Estimated H-index: 7
,
Åsa Fast-Berglund7
Estimated H-index: 7
,
Magnus Åkerman4
Estimated H-index: 4
This article focuses on how operator wellbeing can be assessed to ensure social sustainability and operator performance at assembly stations. Rapid technological advances provide possibilities for assessing wellbeing in real-time, and from an assembly system perspective, this could enable the assessment of physiological data in real-time. While technology is available, it has not been implemented or tested in industry. The aim of this paper was to investigate empirically how concurrent physiolog...
Published on Aug 1, 2017in Advanced Engineering Informatics 3.77
Margherita Peruzzini9
Estimated H-index: 9
(University of Modena and Reggio Emilia),
Marcello Pellicciari13
Estimated H-index: 13
(University of Modena and Reggio Emilia)
Abstract 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 sys...
Published on Jul 1, 2017in IFAC-PapersOnLine
Yuval Cohen13
Estimated H-index: 13
,
Maurizio Faccio17
Estimated H-index: 17
(UNIPD: University of Padua)
+ 2 AuthorsFrancesco Pilati32
Estimated H-index: 32
(UNIBO: University of Bologna)
Abstract Industry 4.0 creates what has been called a "smart factory". The possibility to a wide data collection from industrial processes makes possible to act smart action related to the system changes. Cyber-Physical Systems monitor physical processes and make possible decentralized decisions or even, in the last stage, a self-smart system adaptation. Thanks to the connectivity of the different production resources (machines, work stations, etc.) it is possible to generate information, to shar...
Margherita Peruzzini9
Estimated H-index: 9
,
Marcello Pellicciari13
Estimated H-index: 13
Human factors are fundamental for manufacturing sustainability, which is determined by social, economic and environmental performance. However, there is a lack of engineering methods and tools that are able to integrate their analysis with product and process optimisation according to sustainability principles. The present study proposes an analytical approach to support sustainable manufacturing (SM) by analysing the so-called user experience (UX) of manufacturing and assembly processes startin...
Published on Feb 25, 2017
Boris Brinzer1
Estimated H-index: 1
,
Amardeep Banerjee1
Estimated H-index: 1
,
Michael Hauth1
Estimated H-index: 1
Published on Jan 1, 2017in Procedia CIRP
Thomas H.-J. Uhlemann2
Estimated H-index: 2
(University of Bayreuth),
Christian Lehmann5
Estimated H-index: 5
(University of Bayreuth),
Rolf Steinhilper9
Estimated H-index: 9
(University of Bayreuth)
Abstract Concerning current approaches to planning of manufacturing processes, the acquisition of a sufficient data basis of the relevant process information and subsequent development of feasible layout options requires 74% of the overall time-consumption. However, the application of fully automated techniques within planning processes is not yet common practice. Deficits are to be observed in the course of the use of a fully automated data acquisition of the underlying process data, a key elem...
Published on Sep 1, 2016
Maurizio Fiasché4
Estimated H-index: 4
(Polytechnic University of Milan),
Marta Pinzone4
Estimated H-index: 4
(Polytechnic University of Milan)
+ 2 AuthorsMarco Taisch19
Estimated H-index: 19
(Polytechnic University of Milan)
In Industry 4.0 the optimal allocation of a pool of available workers is a very important issue. Solving this problem can improve the performance of the company and the life of workers with positive returns on productivity. Moreover, from a computational perspective, this problem is extremely interesting because it could have a combinatorial explosion and become very hard to solve. In this paper, a mathematical model applied to a real business case is presented. Some preliminary tests and result...
Published on Sep 1, 2016in Applied Ergonomics 2.61
Susanna Aromaa4
Estimated H-index: 4
(VTT Technical Research Centre of Finland),
Kaisa Väänänen4
Estimated H-index: 4
(TUT: Tampere University of Technology)
In recent years, the use of virtual prototyping has increased in product development processes, especially in the assessment of complex systems targeted at end-users. The purpose of this study was to evaluate the suitability of virtual prototyping to support human factors/ergonomics evaluation (HFE) during the design phase. Two different virtual prototypes were used: augmented reality (AR) and virtual environment (VE) prototypes of a maintenance platform of a rock crushing machine. Nineteen desi...
Published on Aug 22, 2016in Sensors 3.03
Alessandra Moschetti3
Estimated H-index: 3
,
Laura Fiorini7
Estimated H-index: 7
+ 2 AuthorsFilippo Cavallo14
Estimated H-index: 14
Recognition of activities of daily living plays an important role in monitoring elderly people and helping caregivers in controlling and detecting changes in daily behaviors. Thanks to the miniaturization and low cost of Microelectromechanical systems (MEMs), in particular of Inertial Measurement Units, in recent years body-worn activity recognition has gained popularity. In this context, the proposed work aims to recognize nine different gestures involved in daily activities using hand and wris...
Published on Aug 1, 2016
Margherita Peruzzini9
Estimated H-index: 9
(University of Modena and Reggio Emilia),
Maura Mengoni9
Estimated H-index: 9
,
Damiano Raponi2
Estimated H-index: 2
Numerous companies all around the world are shifting from traditional products to product-service solutions, thanks to the increased “intelligence” and “ connectivity” of modern products and the more deep integration among mechanics, electronics, Information and Commutation Technologies (ICT) and Internet of Things (IoT). Such Product-Service Systems (PSSs) are usually designed and developed by considering product and service as separated entities with the consequent increase of design and valid...
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