iDev40 | Integrated Development 4.0
01-05-2018
-31-10-2021
01-05-2018
-31-10-2021
01-01-2015
-31-12-2017
01-11-2016
-31-01-2020
09-01-2015
-31-08-2018
01-10-2016
-30-09-2019
01-09-2016
-30-11-2019
01-09-2016
-31-08-2019
See also D2.6 Lessons Learned and updated requirements report II and D8.8 Final Evaluation Report of the COMPOSITION IIMS Platform
1. Early design decisions on deployment and communication protocols were made. (Docker, MQTT, AMQP). Deciding on the deployment and communication platforms has made test deployment and integration work easier to manage.
2. Inception design (from the DoA) did not specify some components, e.g., for operational management or configuration. The architecture needed additional components to cover system configuration and monitoring.
3. Blockchain is still not a plug-and-play technology and requires a substantial amount of low-level configuration.
4. The Matchmaker should match agents (requester and suppliers). Moreover, the Matchmaker should match a request with the best available offer.
5. Use cases need to be solidly anchored in the real world of the actors and end users. They must not solely represent what is feasible from a technical point of view, but also reflect non-functional requirements such as regulations and business practices. Otherwise, the business cases would become unsustainable for further exploitation.
01-01-2021
-30-04-2024
01-10-2016
-30-09-2019
The smart HMI was tested in E80, with expert and nonexpert operators working on an AGV in real working environment. The availability of such a tool to guide the use and maintenance of complex vehicles was strongly appreciated by workers, since it simplifies the interaction with the vehicle proprietary user interface and enable structured access to knowledge of specific procedures that have been carried out empirically. Moreover, expert operators are now able to take advantage of their experience and plan ad hoc maintenance plan, customized on the current status of the fleet.
Further studies are being carried out to employ the virtual training in order to train the customers’ operators without having to wait for the delivery of a newly bought machine, or without having to block a productive machine for training purposes. The ADAPT module will be further developed in order to evaluate integration with the recently released MAESTRO Active HMI, which already incorporates personalization features such as language settings. Finally, discussions are underway with the commercial area in order to verify whether the use of wearables by customer’s workers can be promoted in order to improve their well-being at home.
Even if robots are well known in Europe there is a lack of knowledge on their real potential and on the existence of tools able to simplify their programming and reconfiguration. Most Industries need to be supported in the process of introducing such tools in the plants. Advanced tools for training, are essential
01-10-2016
-30-09-2019
The assembly collaborative robot considers both the operation being performed and operator’s anthropometric characteristics for control program selection and part positioning. Besides, the workplace includes multimodal interactions with both the dual arm assembly and logistic robots as well as with the Manufacturing Execution System. Verbal interaction includes natural speaking (i.e. Spanish language) and voice-based feedback messages, while nonverbal interaction is based on gesture commands considering both left and right-handed workers and multichannel notifications (e.g. push notifications, emails, etc.). Furthermore, the maintenance technician is assisted by on event Intervention request alerts, maintenance decision support dashboard and AR/VR based step by step on the job guidance.
The proposed solution comprises an adaptive smart tool and an AR instruction application using HoloLens wearable devices and a framework for ensuring digital continuity starting from the data recorded in the system for manufacturing engineering up to the execution and analysis phase
An AR based solution is proposed for instructions visualization enabling also on-job training activities and guidance. Regarding the ergonomics, an autonomous tool-trolley has been integrated including voice command and AR based gesture steering.
A collaborative robotic cell has been implemented for the deburring operation where the robot executes the most exhausting phases, while the worker focuses on final quality inspection. Regarding the assembly process, an AR solution, using ultra-real animations has been implemented to guide operators through tasks. Additional AR functionalities include the visualization of textual information (tips, best practices…), access to technical documents and voice recording
Trust is identified as a key indicator in the pilot. Trust experiments are critical when introducing automation mechanisms that co-operate with workers.
Workers’ opinion is key, especially for decision and acceptance, during the design and development of adaptive automation solutions.
Adaptation within automation mechanisms is reported to be an enhancement at the workplace, according to workers.
The introduction of the is perceived by workers as helpful, especially when productive tasks are exhausting and may provoke health issues. They are not received with reluctance but as supportive in workers’ tasks at the workplace. Regarding AR, it is generally considered as very useful, although the HMD (HoloLens) are too heavy for long time tasks.
01-09-2015
-31-08-2018
01-10-2016
-30-09-2019
Evaluation studies carried out at the premises of Airbus showed positive results for both of the Exoskeleton and KIT services developed for this specific use case. Both physical and mental fatigue of workers were reduced, as an outcome of the Exoskeleton and KIT services respectively. Workers were keen enough to adopt the new technologies to their everyday working activities.
Both WOS and KIT services have been evaluated at COMAU in real life applications, showing that WOS has been well accepted by both operators and engineers as a valuable tool for eliminating motion waste and improve workplace ergonomics in production lines. The evaluation of KIT showed that the developed solution helps to reduce cognitive load of operators, reduce faults and improve efficiency.
KIT, Exoskeleton service and OAST have been evaluated at ROYO premises in real working conditions. KIT has been characterized as a valuable tool that reduces cognitive load and helps workers eliminate uncertainties at the assembly process. The combination of Exoskeleton service with OAST has helped to reduce the physical and mental stress of the operators at the palletization area of ROYO.
15-09-2016
-14-09-2019
01-01-2018
-30-06-2021
01-09-2019
-30-11-2022
01-10-2016
-31-03-2020
With the provision of the right tools, every person can become part of a manufacturing system, including people with disabilities. These people are eager to work and feel productive which can affect global industry very positively.
The developed tool, has been applied in VOLVO, utilizing an offline production line, similar to the actual one. The perception time of the model has been reduced. Notably, more aspects of the model have been taken into consideration compared to the conventional simulation representation currently used. Finally, collaborative design of the simulation model has been rendered feasible, as a team of production managers can group and discuss on the same 3D model by making annotations.
01-01-2015
-31-12-2016
01-01-2015
-31-12-2017
01-10-2016
-30-09-2019
A use case derived from Continental’s measurement lab has been used for validation, revealing the importance of task properties careful choice, time to familiarize employees to such system and assuring sensitive data security.
Within Factory2Fit there were 2 use cases for the codesign process piloted at Continental plant Limbach-Oberfrohna. One pilot was carried out for the workplace design and one for the work process design. An evaluation of the method selection and execution showed that there was good acceptance among the workers who contributed to the design process. To reach positive results during the codesign process it is essential to assess the boundary conditions and the group structure very well.
The developed tool could be extended to become a part of a bigger communication platform, between the equipment provider and their customers, aiming at strengthening their relationship.
SoMeP was piloted at Prima Power, unveiling that the integration of production information and messaging is valuable and time-saving in getting guidance. Gamification can motivate workers to share knowledge (Zikos et al., 2019). The use of social media will require organizational policies e.g. in moderating the content (Aromaa et al., 2019).
Worker Feedback Dashboard was piloted in three factories with ten workers. For user acceptance, it has been crucial that the workers participated in planning how to use the solution, and what kind of work practices were related to its use. The pilot evaluation results indicate that there are potential lead users for the Worker Feedback Dashboard. Introducing the solution would facilitate showing the impacts and could then encourage those who may be more doubtful to join.
ARAG solution was piloted in a factory of United Technologies Corporation (UTC). The validation results reflected the potential of the solution, technicians’ acceptability to solutions specifically designed for supporting them in complex operations. Recent studies have shown that gamification tools can be utilized in industrial AR solutions for reducing technicians’ learning curve and increasing their cognition (Tsourma et al., 2019).
On-the-job learning tool was piloted in a UTC factory producing air handling units. What is learned, is that in order to display the content more understandable, users must be able to interact with it, by viewing the components CAD files and make or read remarks.
01-02-2015
-31-01-2018
01-10-2016
-30-09-2019