Partner Spotlight - CNH Industrial

Q: What is your organization’s role in XMANAI?

A: CNH Industrial has a key role in the XMANAI project, as it is one of the four industrial production demonstrators; the company’s contribution is related to the end-user perspective to create an explainable, user-centered artificial intelligence platform. CNH Industrial is providing an industrial case study that can be developed by other manufacturing companies too, as potential customers of XMANAI, so another key role is to highlight the business impact, considering strengths and risks, derived from the actual exploitation of the platform.

Q: How does XMANAI relate to your or your team’s background and interests?

A:  CNH Industrial invests and believes in the research and application of innovative solutions that can boost the company’s growth, and Human-machine Interface, Explainability, and Artificial Intelligence are the main areas of interest nowadays. One of the main problems with AI is the widespread mistrust of the results, which can sometimes deviate from the operators’ experience. For that reason, CNH Industrial wants to investigate the XAI solutions, to facilitate the rapid introduction of AI into production processes.

Q: What is the novelty of XMANAI and the main benefits envisaged for your organization?

A: The main innovation introduced by XMANAI for CNH Industrial is the ability to analyze a large amount of data collected over the years, and to analyze and monitor this data to explain them to the operators for troubleshooting and predictive maintenance through the XAI platform with a monitoring system. The benefits associated with the use of the XMANAI platform include the reduction of machine downtime and associated costs and the support of digital tools that can also help train less experienced operators.

Q: Which target groups can benefit from XMANAI?

A: The case study presented by CNH Industrial concerns the resolution of machine downtimes within the production plant; three key figures were therefore identified to manage these processes in the event of breakdowns, namely: the maintenance operator, maintenance team leader and maintenance engineering. These three people are responsible for maintenance at three different levels:

  1. the first level is the operator, who is responsible for understanding the fault when the machine stops.
  2. the second level is associated with the foreman who is responsible for general plant maintenance and has the general overview and a great experience in machine maintenance.
  3. the last level is assigned to the maintenance engineer who is responsible for the management of the global maintenance of the plant’s machines in the preventive and long term. He is also responsible for contacting external companies in the event of faults that cannot be resolved internally.

CNH Industrial would like to help/support all 3 figures, with the help of the XMANAI platform. 

Claudia Campanella

Name: Claudia Campanella

Job title: Manager of Ergonomics-HMI-VR-AR

Organization: CNH Industrial

Bio: Claudia Campanella graduated in Industrial Design at the Polytechnic of Turin, realizing a thesis in physical ergonomics. She started working at Fiat Auto in 2000 and at the same time, she attended the Master in Ergonomics in which she created a thesis in cognitive ergonomics. Collaborates since 2005 with SPD – Scuola Politecnica di Design of Milan, where he holds workshops and lessons on ergonomics applied to the automotive industry. In 2005 she moved to Modena, at CNH Industrial. Within this reality, she transfers and puts into practice the methods of automotive ergonomics by applying them to the agricultural world. In 2014 she became head of the Ergonomics-HMI department for all CNH Industrial, for tractors, combines, harvesters,s, and construction machines. In 2021 CNHi created a new transversal Department, putting together Ergonomics & HMI, with other new technologies like Sensors, Machine Learning, Artificial Intelligence, Virtual, and Augmented Reality and she was elected to lead it, based on her strong experience and collaboration with UNIMORE to develop new research that combines the use of new technologies, with the classic criteria of physical and cognitive comfort

Name: Sara Cavallaro

Job title: Ergonomics Design Analysis Engineer

Organization: CNH Industrial

Bio: Sara Cavallaro is a mechanical engineer who graduated at the University of Modena and Reggio Emilia in 2019, started his scientific career and Ph.D. in XiLab (scientific center of advanced simulation using VR and AR for UX design, high-level design and engineering methods for Industry 4.0 and intelligent manufacturing in which are developed Virtual Assembly and Virtual Training applications to improve the process quality). During her three years of research she dealt with virtual manufacturing to design human-centric factories, virtual tours to promote the remote customer experience, creation of a UX index to design human tasks and workstations, training methodology based on virtual reality to promote the learning-by-doing approach and UX evaluation of a tractor cabin digital twin using mixed reality. She joined CNH Industrial in the middle of 2022 in the Tech-Advanced Technologies Innovation team in Ergonomics-HMI, working on several projects focusing on innovation in ergonomics.

Francesco Li Volsi

Name: Francesco Li Volsi

Job title: Ergonomics Design Analysis Engineer

Organization: CNH Industrial

Bio: Francesco Li Volsi, Mechanical Engineering, graduated from the University of Modena in 2021, and started his career in XiLab (a development center for digital product-process design, virtual prototyping, human-centered design, and human simulation). During this period, he redesigned an injection molding line, improving its ergonomic impacts and human-machine interaction. He joined CNH industrial in the middle of 2021 in the HMI-Ergonomics team, improving his skills in this field, working in different internal programs, and following standards to achieve a user-centric design in the CNH Industrial products, such as tractors, construction machines, and combines.