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Margherita Peruzzini
Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Modena, Italy

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Original article
Published: 24 July 2021 in Italian Journal of Marketing
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The purpose of this paper is to explore how the use of virtual tours may represent a lever to improve customers’ intention to buy food products and/or visit places where products are manufactured. Emerging virtual reality and augmented reality can allow people to interact with products and places where products are produced even from very distant places, with a positive impact on their purchase intentions. Applying the theory of planned behaviour, this study focuses on the Parmigiano Reggiano cheese, one of the most exported Italian foods. A sample of consumers was surveyed online to explore the role of virtually visiting the food production place on consumers’ intention to physically visit the production place and on their intention to buy the food. The empirical results deriving from a structural equation model developed on 399 completed and valid questionnaires indicate that the opportunity to experience products through virtual tours positively influences consumer behaviours. Young males show the highest intention to physically visit the food production place and to buy the cheese. Findings provide new insights for the emerging literature on the use of virtual reality to experience products through virtual interaction and the impact that interactive technologies have on consumer purchase intentions. Local areas can use virtual tours to improve food tourism and stimulate food product sales. To our knowledge, this paper represents one of the first empirical endeavours aimed at exploring the impact of virtual tours on consumers’ buying and visiting intentions when a food product and a dairy are concerned.

ACS Style

F. De Canio; E. Martinelli; M. Peruzzini; G. Marchi. The use of virtual tours to stimulate consumers’ buying and visit intentions: an application to the Parmigiano Reggiano cheese. Italian Journal of Marketing 2021, 1 -18.

AMA Style

F. De Canio, E. Martinelli, M. Peruzzini, G. Marchi. The use of virtual tours to stimulate consumers’ buying and visit intentions: an application to the Parmigiano Reggiano cheese. Italian Journal of Marketing. 2021; ():1-18.

Chicago/Turabian Style

F. De Canio; E. Martinelli; M. Peruzzini; G. Marchi. 2021. "The use of virtual tours to stimulate consumers’ buying and visit intentions: an application to the Parmigiano Reggiano cheese." Italian Journal of Marketing , no. : 1-18.

Review
Published: 12 April 2021 in International Journal of Computer Integrated Manufacturing
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Latest trends and developments in digital technologies have enabled a new manufacturing model. Digital systems can monitor, optimize and control processes by creating a virtual copy of the physical world and making decentralized decisions. This paradigm relies on the development of a digital counterpart, the Digital Twin, for each production resource taking part to the whole manufacturing process. Although real applications of Digital Twin may differ in technical and operational details, in the past years, a huge effort has been done in order to identify and define focal functionalities and properties, as well as main challenges for the practical implementation within real factories. This paper is intended to review and analyse principles, ideas and technological solutions of the Digital Twin vision for production processes focusing on the practical industrial implementation. The purpose of this document is therefore to summarize the current state-of-art on Digital Twin concepts, and to draw their up-to-date state for application and deployment in real industrial processes. Finally, future directions for further research are discussed.

ACS Style

Luca Lattanzi; Roberto Raffaeli; Margherita Peruzzini; Marcello Pellicciari. Digital twin for smart manufacturing: a review of concepts towards a practical industrial implementation. International Journal of Computer Integrated Manufacturing 2021, 34, 567 -597.

AMA Style

Luca Lattanzi, Roberto Raffaeli, Margherita Peruzzini, Marcello Pellicciari. Digital twin for smart manufacturing: a review of concepts towards a practical industrial implementation. International Journal of Computer Integrated Manufacturing. 2021; 34 (6):567-597.

Chicago/Turabian Style

Luca Lattanzi; Roberto Raffaeli; Margherita Peruzzini; Marcello Pellicciari. 2021. "Digital twin for smart manufacturing: a review of concepts towards a practical industrial implementation." International Journal of Computer Integrated Manufacturing 34, no. 6: 567-597.

Journal article
Published: 14 February 2021 in Sustainability
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Product and process digitalization is pervading numerous areas in the industry to improve quality and reduce costs. In particular, digital models enable virtual simulations to predict product and process performances, as well as to generate digital contents to improve the general workflow. Digital models can also contain additional contents (e.g., model-based design (MBD)) to provide online and on-time information about process operations and management, as well as to support operator activities. The recent developments in augmented reality (AR) offer new specific interfaces to promote the great diffusion of digital contents into industrial processes, thanks to flexible and robust applications, as well as cost-effective devices. However, the impact of AR applications on sustainability is still poorly explored in research. In this direction, this paper proposed an innovative approach to exploit MBD and introduce AR interfaces in the industry to support human intensive processes. Indeed, in those processes, the human contribution is still crucial to guaranteeing the expected product quality (e.g., quality inspection). The paper also analyzed how this new concept can benefit sustainability and define a set of metrics to assess the positive impact on sustainability, focusing on social aspects.

ACS Style

Fabio Grandi; Riccardo Khamaisi; Margherita Peruzzini; Roberto Raffaeli; Marcello Pellicciari. A Reference Framework to Combine Model-Based Design and AR to Improve Social Sustainability. Sustainability 2021, 13, 2031 .

AMA Style

Fabio Grandi, Riccardo Khamaisi, Margherita Peruzzini, Roberto Raffaeli, Marcello Pellicciari. A Reference Framework to Combine Model-Based Design and AR to Improve Social Sustainability. Sustainability. 2021; 13 (4):2031.

Chicago/Turabian Style

Fabio Grandi; Riccardo Khamaisi; Margherita Peruzzini; Roberto Raffaeli; Marcello Pellicciari. 2021. "A Reference Framework to Combine Model-Based Design and AR to Improve Social Sustainability." Sustainability 13, no. 4: 2031.

Journal article
Published: 28 January 2021 in Applied Sciences
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Additive Manufacturing (AM) technologies have expanded the possibility of producing unconventional geometries, also increasing the freedom of design. However, in the designer’s everyday work, the decision regarding the adoption of AM for the production of a component is not straightforward. In fact, it is necessary to process much information regarding multiple fields to exploit the maximum potential of additive production. For example, there is a need to evaluate the properties of the printable materials, their compatibility with the specific application, redesign shapes accordingly to AM limits, and conceive unique and complex products. Additionally, procurement and logistics evaluations, as well as overall costs possibly extending to the entire life cycle, are necessary to come to a decision for a new and radical solution. In this context, this paper investigates the complex set of information involved in this process. Indeed, it proposes a framework to support and guide a designer by means of a structured and algorithmic procedure to evaluate the opportunity for the adoption of AM and come to an optimal design. A case study related to an ultralight aircraft part is reported to demonstrate the proposed decision process.

ACS Style

Roberto Raffaeli; Jacopo Lettori; Juliana Schmidt; Margherita Peruzzini; Marcello Pellicciari. A Systematic Approach for Evaluating the Adoption of Additive Manufacturing in the Product Design Process. Applied Sciences 2021, 11, 1210 .

AMA Style

Roberto Raffaeli, Jacopo Lettori, Juliana Schmidt, Margherita Peruzzini, Marcello Pellicciari. A Systematic Approach for Evaluating the Adoption of Additive Manufacturing in the Product Design Process. Applied Sciences. 2021; 11 (3):1210.

Chicago/Turabian Style

Roberto Raffaeli; Jacopo Lettori; Juliana Schmidt; Margherita Peruzzini; Marcello Pellicciari. 2021. "A Systematic Approach for Evaluating the Adoption of Additive Manufacturing in the Product Design Process." Applied Sciences 11, no. 3: 1210.

Original article
Published: 21 October 2020 in The International Journal of Advanced Manufacturing Technology
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Virtual reality (VR) offers a promising set of technologies to digitally simulate industrial processes and interaction between humans and machines. However, the use of immersive VR simulations is still limited in industry due to the uncertainty of benefits in respect with traditional digital tools, and the lack of structured methodologies to effectively implement immersive virtual simulations in practice. This paper deals with the application of VR to create virtual manufacturing simulations with the aim to design assembly lines in compliance with factory ergonomics. It proposes a methodology to allow the virtualization and simulation of assembly tasks using a combination of VR tools by replicating, or rather anticipating, what would happen at the shop floor. The adopted tools are Unity 3D for virtual environment generation, HTC VIVE to immerse the user in the virtual factory layout, Xsens as tracking system, and Leap Motion for gesture recognition. The paper also compares the new VR-based procedure with a more traditional desktop-based digital simulation on industrial cases. Results show that the new methodology is more precise to detect the operator’s comfort angles and more powerful to predict process criticalities and optimize factory layout design. At the same time, it is less sensitive to errors during ergonomic assessment related to the expert’s subjectivity during the analysis.

ACS Style

Margherita Peruzzini; Fabio Grandi; Sara Cavallaro; Marcello Pellicciari. Using virtual manufacturing to design human-centric factories: an industrial case. The International Journal of Advanced Manufacturing Technology 2020, 1 -15.

AMA Style

Margherita Peruzzini, Fabio Grandi, Sara Cavallaro, Marcello Pellicciari. Using virtual manufacturing to design human-centric factories: an industrial case. The International Journal of Advanced Manufacturing Technology. 2020; ():1-15.

Chicago/Turabian Style

Margherita Peruzzini; Fabio Grandi; Sara Cavallaro; Marcello Pellicciari. 2020. "Using virtual manufacturing to design human-centric factories: an industrial case." The International Journal of Advanced Manufacturing Technology , no. : 1-15.

Journal article
Published: 05 October 2020 in Robotics and Computer-Integrated Manufacturing
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In recent years Human-Robot Collaboration (HRC) has become a strategic research field, considering the emergent need for common collaborative execution of manufacturing tasks, shared between humans and robots within the modern factories. However, the majority of the research focuses on the technological aspects and enabling technologies, mainly directing to the robotic side, and usually neglecting the human factors. This work deals with including the needs of the humans interacting with robots in the design in human-robot interaction (HRI). In particular, the paper proposes a user experience (UX)-oriented structured method to investigate the human-robot dialogue to map the interaction with robots during the execution of shared tasks, and to finally elicit the requirements for the design of valuable HRI. The research adopted the proposed method to an industrial case focused on assembly operations supported by collaborative robots and AGVs (Automated Guided Vehicles). A multidisciplinary team was created to map the HRI for the specific case with the final aim to define the requirements for the design of the system interfaces. The novelty of the proposed approach is the inclusion of typically interaction design tools focusing in the analysis of the UX into the design of the system components, without merely focusing on the technological issues. Experimental results highlighted the validity of the proposed method to identify the interaction needs and to drive the interface design.

ACS Style

Elisa Prati; Margherita Peruzzini; Marcello Pellicciari; Roberto Raffaeli. How to include User eXperience in the design of Human-Robot Interaction. Robotics and Computer-Integrated Manufacturing 2020, 68, 102072 .

AMA Style

Elisa Prati, Margherita Peruzzini, Marcello Pellicciari, Roberto Raffaeli. How to include User eXperience in the design of Human-Robot Interaction. Robotics and Computer-Integrated Manufacturing. 2020; 68 ():102072.

Chicago/Turabian Style

Elisa Prati; Margherita Peruzzini; Marcello Pellicciari; Roberto Raffaeli. 2020. "How to include User eXperience in the design of Human-Robot Interaction." Robotics and Computer-Integrated Manufacturing 68, no. : 102072.

Editorial
Published: 02 April 2020 in International Journal of Computer Integrated Manufacturing
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ACS Style

Margherita Peruzzini; Nel Wognum; Cees Bil; Josip Stjepandic. Special issue on ‘transdisciplinary approaches to digital manufacturing for industry 4.0’. International Journal of Computer Integrated Manufacturing 2020, 33, 321 -324.

AMA Style

Margherita Peruzzini, Nel Wognum, Cees Bil, Josip Stjepandic. Special issue on ‘transdisciplinary approaches to digital manufacturing for industry 4.0’. International Journal of Computer Integrated Manufacturing. 2020; 33 (4):321-324.

Chicago/Turabian Style

Margherita Peruzzini; Nel Wognum; Cees Bil; Josip Stjepandic. 2020. "Special issue on ‘transdisciplinary approaches to digital manufacturing for industry 4.0’." International Journal of Computer Integrated Manufacturing 33, no. 4: 321-324.

Journal article
Published: 14 February 2020 in Advanced Engineering Informatics
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Nowadays, robots are heavily used in factories for different tasks, most of them including grasping and manipulation of generic objects in unstructured scenarios. In order to better mimic a human operator involved in a grasping action, where he/she needs to identify the object and detect an optimal grasp by means of visual information, a widely adopted sensing solution is Artificial Vision. Nonetheless, state-of-art applications need long training and fine-tuning for manually build the object’s model that is used at run-time during the normal operations, which reduce the overall operational throughput of the robotic system. To overcome such limits, the paper presents a framework based on Deep Convolutional Neural Networks (DCNN) to predict both single and multiple grasp poses for multiple objects all at once, using a single RGB image as input. Thanks to a novel loss function, our framework is trained in an end-to-end fashion and matches state-of-art accuracy with a substantially smaller architecture, which gives unprecedented real-time performances during experimental tests, and makes the application reliable for working on real robots. The system has been implemented using the ROS framework and tested on a Baxter collaborative robot.

ACS Style

Luca Bergamini; Mario Sposato; Marcello Pellicciari; Margherita Peruzzini; Simone Calderara; Juliana Schmidt. Deep learning-based method for vision-guided robotic grasping of unknown objects. Advanced Engineering Informatics 2020, 44, 101052 .

AMA Style

Luca Bergamini, Mario Sposato, Marcello Pellicciari, Margherita Peruzzini, Simone Calderara, Juliana Schmidt. Deep learning-based method for vision-guided robotic grasping of unknown objects. Advanced Engineering Informatics. 2020; 44 ():101052.

Chicago/Turabian Style

Luca Bergamini; Mario Sposato; Marcello Pellicciari; Margherita Peruzzini; Simone Calderara; Juliana Schmidt. 2020. "Deep learning-based method for vision-guided robotic grasping of unknown objects." Advanced Engineering Informatics 44, no. : 101052.

Chapter
Published: 01 November 2019 in Systems Engineering in Research and Industrial Practice
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Main problems occurring in Product-Service Systems (PSSs), are due to an inadequate requirements analysis and lack of a strong PSS conceptual design. Problems vary from exceeding budgets, to missing functionalities, unsuccessful market launch, or even project abortion. Furthermore, the special characteristics of a PSS have to be considered already at an early stage of the development process. Requirements Engineering (RE) and design methodology as well as supporting Information and Communication Technologies (ICT) need to establish a common perception of the targeted PSS. At the same time, the inner complexity of PSS leaves requirements analysis, design activities and development tasks fragmented among many disciplines and sometimes conflicting, unstable, unknowable or not fully defined. In this context, a concurrent, transdisciplinary and collaborative design of PSS is required to create feasible and successful solutions. The objective of this chapter is to present a structured approach to face the specific challenges of PSS development in detail, to elaborate a general framework that features a systematic approach for PSS development, and to consider the effects of changes in specific product and service design on a systematic PSS development process.

ACS Style

Margherita Peruzzini; Stefan Wiesner. Systematic Development of Product-Service Systems. Systems Engineering in Research and Industrial Practice 2019, 265 -296.

AMA Style

Margherita Peruzzini, Stefan Wiesner. Systematic Development of Product-Service Systems. Systems Engineering in Research and Industrial Practice. 2019; ():265-296.

Chicago/Turabian Style

Margherita Peruzzini; Stefan Wiesner. 2019. "Systematic Development of Product-Service Systems." Systems Engineering in Research and Industrial Practice , no. : 265-296.

Chapter
Published: 01 November 2019 in Systems Engineering in Research and Industrial Practice
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Product-Service Systems (PSSs) are a new emergent way to innovate traditional products and to extend the company portfolio, by reducing time and cost while offering high quality and meeting the expectations of both customers and stakeholders, which have to be considered during the design and development process (Complex systems concurrent engineering. Springer, London, pp. 321–328, 2007 [1]). A further challenge is to close loops between Product Lifecycle Management (PLM) and Service Lifecycle Management (SLM) by providing feedback from service delivery to the beginning-of-life phase of products, or defining a structured procedure to coordinate product and service development activities. The objective of this chapter is to provide a common understanding about PSSs, to deepen the Servitization process and its main features, and to understand how PLM and SLM can be integrated to define future organization of PSS-oriented companies. The final aim is to present PSS as a new business model, which companies can adopt to innovate their products and to enlarge their offer to the market, according to a consumer-oriented approach.

ACS Style

Margherita Peruzzini; Stefan Wiesner. Emergence of Product-Service Systems. Systems Engineering in Research and Industrial Practice 2019, 209 -232.

AMA Style

Margherita Peruzzini, Stefan Wiesner. Emergence of Product-Service Systems. Systems Engineering in Research and Industrial Practice. 2019; ():209-232.

Chicago/Turabian Style

Margherita Peruzzini; Stefan Wiesner. 2019. "Emergence of Product-Service Systems." Systems Engineering in Research and Industrial Practice , no. : 209-232.

Conference paper
Published: 20 September 2019 in Recent Advances in Computational Mechanics and Simulations
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Human-centered design is based on the satisfaction of the user needs mainly related to performances, interaction, usability, accessibility, and visibility issues. However, the quality of the interaction process is hidden and usually difficult to detect. The paper proposes a multi-disciplinary assessment tool for the evaluation of the human-machine interaction, based on the collection of physiological data and anthropometrical performance data. Such a method can be used both within on-field tests and virtual simulations, supporting the spread of digital approaches in industry. The methodology allows objectifying how users interact with machine or interface items, thanks to the collection of the users’ performance during task execution, the digitalization of collected data, and the evaluation of users’ physical and mental workload. Such a system has been applied to an industrial case study focusing on agricultural machinery driving and control to support the system re-design in terms of interface features, commands’ location and grouping, and positioning of additional devices.

ACS Style

Margherita Peruzzini; Fabio Grandi; Marcello Pellicciari; Giovanni Berselli; Angelo Oreste Andrisano. A Multi-disciplinary Assessments Tool for Human-Machine Interaction. Recent Advances in Computational Mechanics and Simulations 2019, 741 -752.

AMA Style

Margherita Peruzzini, Fabio Grandi, Marcello Pellicciari, Giovanni Berselli, Angelo Oreste Andrisano. A Multi-disciplinary Assessments Tool for Human-Machine Interaction. Recent Advances in Computational Mechanics and Simulations. 2019; ():741-752.

Chicago/Turabian Style

Margherita Peruzzini; Fabio Grandi; Marcello Pellicciari; Giovanni Berselli; Angelo Oreste Andrisano. 2019. "A Multi-disciplinary Assessments Tool for Human-Machine Interaction." Recent Advances in Computational Mechanics and Simulations , no. : 741-752.

Article
Published: 02 April 2019 in International Journal of Computer Integrated Manufacturing
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Transdisciplinarity is characterising numerous research areas, in which natural sciences are integrated with technical and social sciences, requiring mixed methodologies for achieving full sustainability. However, there is a lack of engineering methods and design tools able to effectively integrate the analysis of human performance and social impacts with technical issues during product and process design. In this context, digital manufacturing tools and virtual simulation technologies can be validly used to create interactive digital mock-ups where human-system interaction during manufacturing operations can be simulated to support product and process design. The paper proposes a mixed reality (MR) set-up to support human-centred product and process design, where systems and humans interacting with them are monitored and digitalised to easily evaluate the human-machine interaction, with the scope to have feedback for design optimisation. Such an approach is defined as trans disciplinary since it merges technical design issues and human perspectives to design products on the basis of effective human performance, with the goal to early detect design criticalities and improve the overall system design. Industrial use cases have been developed to demonstrate the validity of the proposed approach to support human-centred design of a tractor. Results have demonstrated potential improvements, in terms of time saving for design review and workers’ training, reduction of physical prototypes for design validation, reduction of late design and engineering changes, reduction of ergonomic issues, and global positive impact on time-to-market.

ACS Style

Fabio Grandi; Luca Zanni; Margherita Peruzzini; Marcello Pellicciari; Claudia Elisabetta Campanella. A Transdisciplinary digital approach for tractor’s human-centred design. International Journal of Computer Integrated Manufacturing 2019, 33, 377 -397.

AMA Style

Fabio Grandi, Luca Zanni, Margherita Peruzzini, Marcello Pellicciari, Claudia Elisabetta Campanella. A Transdisciplinary digital approach for tractor’s human-centred design. International Journal of Computer Integrated Manufacturing. 2019; 33 (4):377-397.

Chicago/Turabian Style

Fabio Grandi; Luca Zanni; Margherita Peruzzini; Marcello Pellicciari; Claudia Elisabetta Campanella. 2019. "A Transdisciplinary digital approach for tractor’s human-centred design." International Journal of Computer Integrated Manufacturing 33, no. 4: 377-397.

Review
Published: 02 April 2019 in Journal of Management Analytics
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The early stages of product development are characterized by uncertainties. Designers must deal with challenges that arise unexpectedly in an agile and responsive manner. Expert information systems based on ontological models are a promising approach to capture knowledge and rationale of domain specialists, either for decision making or knowledge reuse. The present study presents a bibliometric analysis on the use of ontologies in product development for cost estimation. It identifies trends and research opportunities that can orient future works. From a general search in scientific databases, 31 articles were found and selected based on criteria established using the Proknow-C method. Results indicate that there are several possibilities for solutions using ontological and hybrid, transdisciplinary approaches. Using intelligent systems is not only promising but is also challenging as a new and real transdisciplinary research area of interest.

ACS Style

Rafael Voltolini; Kaio Vasconcelos; Milton Borsato; Margherita Peruzzini. Product development cost estimation through ontological models – a literature review. Journal of Management Analytics 2019, 6, 209 -229.

AMA Style

Rafael Voltolini, Kaio Vasconcelos, Milton Borsato, Margherita Peruzzini. Product development cost estimation through ontological models – a literature review. Journal of Management Analytics. 2019; 6 (2):209-229.

Chicago/Turabian Style

Rafael Voltolini; Kaio Vasconcelos; Milton Borsato; Margherita Peruzzini. 2019. "Product development cost estimation through ontological models – a literature review." Journal of Management Analytics 6, no. 2: 209-229.

Journal article
Published: 19 December 2018 in Computers & Industrial Engineering
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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 proposes the adoption of a human-centred design approach inspired by the Operator 4.0 concept and aims at demonstrating its feasibility for the integration of human factors in 4.0 computerized industrial frameworks. The approach 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 proposed monitoring system 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.

ACS Style

Margherita Peruzzini; Fabio Grandi; Marcello Pellicciari. Exploring the potential of Operator 4.0 interface and monitoring. Computers & Industrial Engineering 2018, 139, 105600 .

AMA Style

Margherita Peruzzini, Fabio Grandi, Marcello Pellicciari. Exploring the potential of Operator 4.0 interface and monitoring. Computers & Industrial Engineering. 2018; 139 ():105600.

Chicago/Turabian Style

Margherita Peruzzini; Fabio Grandi; Marcello Pellicciari. 2018. "Exploring the potential of Operator 4.0 interface and monitoring." Computers & Industrial Engineering 139, no. : 105600.

Journal article
Published: 15 November 2018 in Procedia Manufacturing
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Design for serviceability begins with understanding the customer needs related to availability, reliability, accessibility and visibility, and aims at designing optimized systems where maintenance operations are easy and intuitive in order to reduce the time to repair and service costs. However, service actions are difficult to predict in front of a traditional CAD model. In this context, digital manufacturing tools and virtual simulation technologies can be validly used to create mixed digital environments where service tasks can be simulated in advance to support product design and improve maintenance actions. Furthermore, the use of human monitoring sensors can be used to detect the stressful conditions and to optimize the human tasks. The paper proposes a mixed reality (MR) set-up where operators are digitalized and monitored to analyse both physical and cognitive ergonomics. It is useful to predict design criticalities and improve the global system design. An industrial case study has been developed in collaboration with CNH Industrial to demonstrate how the proposed set-up is used for design for serviceability, on the basis of experimental evidence.

ACS Style

Margherita Peruzzini; Fabio Grandi; Marcello Pellicciari; Claudia Elisabetta Campanella. A mixed-reality digital set-up to support design for serviceability. Procedia Manufacturing 2018, 17, 499 -506.

AMA Style

Margherita Peruzzini, Fabio Grandi, Marcello Pellicciari, Claudia Elisabetta Campanella. A mixed-reality digital set-up to support design for serviceability. Procedia Manufacturing. 2018; 17 ():499-506.

Chicago/Turabian Style

Margherita Peruzzini; Fabio Grandi; Marcello Pellicciari; Claudia Elisabetta Campanella. 2018. "A mixed-reality digital set-up to support design for serviceability." Procedia Manufacturing 17, no. : 499-506.

Editorial
Published: 24 July 2018 in Journal of Industrial Information Integration
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ACS Style

Margherita Peruzzini; Josip Stjepandić. Editorial to the special issue “Transdisciplinary approaches for industrial information integration engineering I”. Journal of Industrial Information Integration 2018, 12, 1 -2.

AMA Style

Margherita Peruzzini, Josip Stjepandić. Editorial to the special issue “Transdisciplinary approaches for industrial information integration engineering I”. Journal of Industrial Information Integration. 2018; 12 ():1-2.

Chicago/Turabian Style

Margherita Peruzzini; Josip Stjepandić. 2018. "Editorial to the special issue “Transdisciplinary approaches for industrial information integration engineering I”." Journal of Industrial Information Integration 12, no. : 1-2.

Journal article
Published: 03 July 2018 in Journal of Industrial Information Integration
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The analysis of workers’ ergonomics and human factors is assuming a great importance in product and process design for modern industry. However, there is a lack of common references and structured protocols for the assessment of workers’ experience in industrial practices in an effective and predictive way. As a result, designers are poorly supported in the application of digital technologies, which are demonstrating to have a great potential. This ascertainment suggested defining a reference model to analyse the so-called user experience (UX) of workers and a proper technological set-up based on virtual simulations in order to support human-centred product-process design. Indeed, the recent advances in ubiquitous computing, wearable technologies and low-cost connected devices offer a huge amount of new tools for human data monitoring. However, the open issue is selecting the most proper devices for industrial application area in respect with design goals, using virtual simulation and digital manufacturing tools. The research proposed a structured procedure to use existing digital technologies to support product-process design to analyse the workers behaviours and assess the perceived experience for industrial scopes. The paper defined a structured protocol analysis to objectify and measure the workers’ experience with the final aim to support the requirements definition in product-process design by using digital technologies. In particular, the model has been defined for the automotive sector. The paper contribution is the definition of the protocol analysis and the development of a mixed reality (MR) set-up to involve real users’ and to improve the digital models. Such a protocol has been applied to different industrial cases related to product and process design, developed in collaboration with CNH Industrial. The comparison with traditional design procedures highlighted the benefits of adopting virtual mock-up and digital simulation within a MR environment to shorten design time and improve the design overall quality.

ACS Style

Margherita Peruzzini; Fabio Grandi; Marcello Pellicciari. How to analyse the workers’ experience in integrated product-process design. Journal of Industrial Information Integration 2018, 12, 31 -46.

AMA Style

Margherita Peruzzini, Fabio Grandi, Marcello Pellicciari. How to analyse the workers’ experience in integrated product-process design. Journal of Industrial Information Integration. 2018; 12 ():31-46.

Chicago/Turabian Style

Margherita Peruzzini; Fabio Grandi; Marcello Pellicciari. 2018. "How to analyse the workers’ experience in integrated product-process design." Journal of Industrial Information Integration 12, no. : 31-46.

Journal article
Published: 30 June 2018 in Industrial Engineering & Management Systems
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ACS Style

Margherita Peruzzini; Marcello Pellicciari. Application of Early Sustainability Assessment to Support the Design of Industrial Systems. Industrial Engineering & Management Systems 2018, 17, 209 -225.

AMA Style

Margherita Peruzzini, Marcello Pellicciari. Application of Early Sustainability Assessment to Support the Design of Industrial Systems. Industrial Engineering & Management Systems. 2018; 17 (2):209-225.

Chicago/Turabian Style

Margherita Peruzzini; Marcello Pellicciari. 2018. "Application of Early Sustainability Assessment to Support the Design of Industrial Systems." Industrial Engineering & Management Systems 17, no. 2: 209-225.

Conference paper
Published: 24 June 2018 in Advances in Intelligent Systems and Computing
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Human-centred design is based on the satisfaction of the user needs mainly related to performances, interaction, comfort, usability, accessibility, and visibility issues. However, the “real” user experience (UX) is hidden and usually difficult to detect. The paper proposes a multimodal system based on the collection of physiological and anthropometrical performance data on field and within a mixed prototyping set-up. The mixed environment makes users interact with virtual and digital items and users’ performance to be capture and digitalized, simulating human-machine interaction, while physiological and anthropometrical data collection allows to objectify the users’ physical and mental workload during task execution. Such a system has been applied to an industrial case study focusing on agricultural machinery driving and control to support the definition of a new cabin and its control board, in terms of seat features, commands’ positioning and grouping, and positioning of additional devices.

ACS Style

Margherita Peruzzini; Fabio Grandi; Marcello Pellicciari; Claudia Elisabetta Campanella. User Experience Analysis Based on Physiological Data Monitoring and Mixed Prototyping to Support Human-Centre Product Design. Advances in Intelligent Systems and Computing 2018, 401 -412.

AMA Style

Margherita Peruzzini, Fabio Grandi, Marcello Pellicciari, Claudia Elisabetta Campanella. User Experience Analysis Based on Physiological Data Monitoring and Mixed Prototyping to Support Human-Centre Product Design. Advances in Intelligent Systems and Computing. 2018; ():401-412.

Chicago/Turabian Style

Margherita Peruzzini; Fabio Grandi; Marcello Pellicciari; Claudia Elisabetta Campanella. 2018. "User Experience Analysis Based on Physiological Data Monitoring and Mixed Prototyping to Support Human-Centre Product Design." Advances in Intelligent Systems and Computing , no. : 401-412.

Editorial
Published: 17 May 2018 in International Journal of Intelligent Robotics and Applications
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ACS Style

Santosh Devasia; Chien Chern Cheah; Marcello Pellicciari; Margherita Peruzzini. Guest editorial: focused section on human-centered robotics. International Journal of Intelligent Robotics and Applications 2018, 2, 133 -135.

AMA Style

Santosh Devasia, Chien Chern Cheah, Marcello Pellicciari, Margherita Peruzzini. Guest editorial: focused section on human-centered robotics. International Journal of Intelligent Robotics and Applications. 2018; 2 (2):133-135.

Chicago/Turabian Style

Santosh Devasia; Chien Chern Cheah; Marcello Pellicciari; Margherita Peruzzini. 2018. "Guest editorial: focused section on human-centered robotics." International Journal of Intelligent Robotics and Applications 2, no. 2: 133-135.