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Manutelligence Report Summary

Project ID: 636951
Funded under: H2020-EU.

Periodic Reporting for period 1 - Manutelligence (Product Service Design and Manufacturing Intelligence Engineering Platform)

Reporting period: 2015-02-01 to 2016-07-31

Summary of the context and overall objectives of the project

The Product-Service is more and more a source a new business, providing to the end users the experience they need instead of a pure product, efficiently addressing customer needs. Then a new approach to design and manufacturing a Product-Service is needed.
The main scope of the Manutelligence project is to develop a software platform to support this emerging trend, allowing enterprises to develop sustainable innovative product-services. This platform will enable designers and manufacturers to have a holistic view on product-service lifecycle.
The Manutelligence platform will be composed by existing and new software components, which integration will provide a new tool for the industry digitalization support, leveraging on product virtualization, IoT and sustanaibility solutions.
The industrial use cases selected for the project are the current targets to develop and validate the platform.
As in the case of Lindbäcks, one of the industrial partner of the consortium, the use-case concept bases on the collection and analysis of real life data. The information will be used to improve the quality of the houses, to extend the life time by faster reaction of technical problems in the house and to reduce the energy (resources) consumption by influencing the end users (buyers or lodgers).

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

The project activities done in the first half of the project timeframe are the following

WP1 - Engineering and business requirements for holistic P-S development processes in the targeted application sectors
Task 1.1 - Elicitation (Lead: POLIMI; Partners: DAS, FERRARI, MEYER, FAB, SUPSI, HLX, VTT, LIND, DAPP, BAL) - M1-M6
This task was led by POLIMI and it resulted into a deliverable: D1.1 Elicitation of Engineering and Business Requirements at M6. All the WP partners were involved in this task. The elicitation methodology was developed by POLIMI and discussed in the specific WP meeting in March 2015 between the research partners (VTT, SUPSI). The 4 end user cases (FERRARI, MEYER, FCIM, and LIND) acted as the main sources for requirements.
Task 1.2 - Structuration (Lead: VTT; Partners: POLIMI, SUPSI) - M4-M9
This task was led by VTT and it resulted into a deliverable D1.4 Structuration and organization of requirements at M9. The structuration included defining requirement categories and aggregating the about 200 requirements into a smaller number (20) in this category. The structuration methodology was developed by task leader VTT; as well as the first organization and aggregation approach.
Task 1.3 - Analysis and refinement (Lead: SUPSI; Partners: POLIMI, HLX, VTT) - M7-M12
This task was led by SUPSI and it resulted into a deliverable D1.2 Refinement and analysis of requirements at M10. The analysis included analysis of requirement trade-offs and prioritization. SUPSI developed the trade-off analysis and prioritization methodology.
Task 1.4 - Requirements Validation (Lead: VTT; Partners: DAS, FERRARI, MEYER, FAB, POLIMI, SUPSI, HLX, LIND, DAPP, BAL) - M7-M12
This task was led by VTT and it resulted into a deliverable D1.3 Requirement validation. The validation methodology, including both individual walk-through by VTT researchers and validation workshop with end users and other partners was developed by VTT. VTT facilitated the validation workshop and all the end users and supporting partners participated in it. VTT consolidated the results from the workshop and proposed some changes and additions to the list of aggregated requirements.
WP2 - Simulation and optimisation of PLM and SLM interaction
Task 2.1 - Combined Lifecycle Model for Collaborative Product-Service Engineering (Lead: BIBA; Partners: POLIMI, SUPSI) - M1-M6
This task was led by BIBA with key contributions by POLIMI. SUPSI and BAL (as well as VTT and other partners) contributed to the preliminary glossary provided as an annex.
Task 2.2 - Concept for a Combined PLM/SLM Product-Service Lifecycle Management (Lead: POLIMI; Partners: SUPSI, BIBA, HLX) - M7-M30
This task is led by POLIMI with key contributions from BIBA, SUPSI and HLX. So far, the work concerns: exploration of the practical adequacy of the LML and guiding concepts. POLIMI applied the approach for the FERRARI case while BIBA explored it for the FCIM case (3D printers): exploration of the required data, information and knowledge types based on the description of use cases from WP6: modelling of some parts of the use cases: starting with the LIND and FCIM cases.
Task 2.3 - Simulation and Optimization of Combined Product-Service Lifecycle Management (Lead: POLIMI; Partners: BIBA, HLX, BAL) – M13-M30
This task concerns the extension of BAL LCPA tool (Lifecycle Cost Assessment). The tool should be able to compare traditional, product-centric scenarios with Product-Service scenarios (e.g. extended by Internet of Things devices and service approaches). So far, the extension is in its concept phase, i.e. an assessment scenario is selected and described.
Task 2.4 - Refinement of results of the optimisation and analysis of the P-S engineering processes (Lead: BIBA; Partners: POLIMI, SUPSI, HLX, LIND) - M24-M33
This task is not yet started;
WP3 - Collaborative and cross-disciplinary procedures and tools to design and develop Smart Innovative Product-Service
Task 3.1 - Semantic facilitator for bridging Product and Service lifecycle phases. (Lead: BIBA; Partners: HLX, POLIMI, SUPSI) - M7-M24
This task is led by BIBA with contributions of HLX, POLIMI and SUPSI.
The work so far focused on the connection of the USG to IoT HLX platform (Universal Sensor Gateway serves as a modular data acquisition and integration device to the Product Lifecycle Management (PLM) ecosystem of a product).More in details, the connection between USG and HLX platform for LINDBÄCKS has been implemented. Data related to room temperature, humidity, water detection in the sink and dew point are measured at LINDBÄCKS houses and are sent to HLX platform.In addition, also the connection between current sensors, which are used to evaluate 3D printing energy consumption and HLX platform for Fundacio CIM is on working.Regarding Ferrari, data coming from different gateways (Ferrari telemetry, Vector telemetry, Slam Stick X data logger to measure mechanicals vibrations are already on the HLX platform.The implementation of the connection of HLX platform for condition-based maintenance and 3D experience is ongoing for the Meyer case.
Task 3.2 - Tools and procedures for embedding and retrieving P-S lifecycle knowledge. (Lead: HLX; Partners: DAPP, BAL) - M7-M30
This task is led by HLX with contributions of DAPP and BAL.

The work so far focused on the adaptation, development and verification of data models to retrieve data from the field for the different use cases: data model for LINDBÄCKS, Fundacio CIM, Ferrari, Meyer has been defined,
These adaptation and developments will be verified and tested during the project and will be used as experience for re-defining a generic data model and eventually a revised O-LM specification.

Task 3.3 - Methodologies and tools to involve customers in the P-S multi-disciplinary feedback (Lead: HLX; Partners: POLIMI, BIBA, VTT) - M13-M30
This task is led by Holonix with contributions of BIBA, POLIMI and VTT.
The work of this task is to enable flow of information from middle of life phase to beginning of life phase, meaning, to enable designers and manufacturers to benefit from information gathered during usage and exploitation (user behaviour, servicing, durability, etc.). For this purpose, connection of the USG to HLX Platform has been developed.
Task 3.4 - Engineering codified knowledge collaborative management (Lead: BIBA; Partners: HLX, POLIMI) - M7-M24
Main focus of BIBA’s activities in the reporting period for T3.4 was dedicated to the envisaged representation of codified engineering knowledge for an automated linkage of identified closed-loop PLM dependencies with the development of new products. In this context the work has been grounded on KBE related pre-works, namely the proposed modelling language KbeML (formerly RDF), which has been specified as a SysML extension for KBE purposes. The current approach foresees the implementation of KbeML in conjunction with SysML elements to allow next to the representation of design knowledge the modelling and formalization of life-cycle dependencies such as energy consumption or wastage reduction. Further, BIBA is currently analysing the applicability of the commercial modelling environment “Enterprise Architect” (EA) to become an appropriate modelling platform for the enhanced KbeML models. The core idea is to provide users a predefined modelling environment with a menu-library, offering UI controls etc. Finally, BIBA participated in WP3 calls and consortium meetings ensuring an alignment among the WP3 tasks (and other WPs).
Task 3.5 - Secure data sharing across the P-S lifecycle (Lead HLX) – M22-M30
This task is led by HLX.
The main outcomes of this task will be:
• Analysis of existing standards for security both in Thing2Thing; Thing2System; System2System
• Implementation of a pilot within the i-LiKe platform of the best solution (as it is now, HTTPS)
WP4 - Manufacturing Intelligence through the development of a modular and interoperable Product-Service Engineering environment
Task 4.1 – Collaborative Design Tools (Lead: DAS; Partners: POLIMI, HLX) - M7-M24
This task is still running and is led by DAS with the key contribution of POLIMI and HLX. According to the DoA the first activity performed was the deployment of the design tools such as CATIA and SIMULIA on the Manutelligence platform held in the POLIMI premises, in addition for developing the FCIM scenarios also the deployment of the authoring tool SolidWorks has been necessary. Once all the design tools were in place, all the relevant use case 3D models (FERRARI, MEYER) have been imported in the Manutelligence platform. The availability of the models on the platform has been the starting point for matching the field data with the virtual models. Preliminary studies for implementing such integration have been carried out by DAS and HLX. A prototype of a new service to exchange data between ENOVIA 3DExperience (provided by DAS) and LCC /LCA tools (provided by SUPSI and BAL) is being tested in order to integrate the environmental impact calculation as well as the life cycle cost calculation

Task 4.2 – Process design and Manufacturing Execution Design Tools (Lead: DAS; Partners: HLX) – M7-M24
This task is still running and is led by DAS with the contribution of HLX and the activities performed are mainly related to the development and integration within the platform of the i-Like module for managing the manufacturing data coming from field sensors. Many analyses have been carried out by DAS and HLX in order to understand which can be the best solution for connecting the field data to the virtual models, in addition also the integration of Delmia has been evaluated and will be done when the use case scenario complexity will be higher.

Task 4.3 – P-S Internet of things Middleware, data and Knowledge Management (Lead: HLX; Partners: DAS) - M7-M24
This task is still running and is led by HLX with the contributions of DAS. The activities performed in this task are mainly related to the development of the middleware. The main objective of this layer is the connection of the Internet of Things to the Manutelligence platform. Data acquisition for different use cases has already been performed. All the communication for the “physical items”, related to the Internet of Things, will be implemented using open standards.

Task 4.4 – P-S engineering and manufacturing ubiquitous search Tools (Lead: DAS; Partners: POLIMI, HLX) - M7-M24
This task is still running and is led by DAS and involves POLIMI and HLX. The main activity is to provide ubiquitous search capabilities of Product-Service related information from engineering to manufacturing and use. For these purposes, the Exalead Cloud View has been deployed in the Manutelligence platform. In detail, the powerful search engine of Exalead enable the manufacturing intelligence layer mainly for elaborating the big amount of data coming from the product.

Task 4.5 – P-S life-cycle data 3D visualisation and context based interaction Tools (Lead: DAS; Partners: POLIMI, HLX, LIND) - M7-M24
This task is still running and is led by DAS with the contribution of POLIMI, HLX and LIND. In particular, according to the DoA, the 3DEXPERIENCE suite has been deployed in the Manutelligence platform and it represents the backbone for accessing, managing and storing the large amount of information coming from the four use cases. In addition 3DEXPERIENCE provides within its suite a set of visualizing tools such as 3D viewer as well as interactive 3D dashboards that supported by the manufacturing intelligence layer can provide aggregate data and a clearly understandable view of the 3D models. The level of aggregation of the data and how to organize the dashboard should be still analysed in the next months.

Task 4.6 – Manufacturing Context Driven Intelligence Layer (Lead: HLX; Partners: POLIMI, HLX, LIND) – M7-M30
This task is still running and is led by HLX with the collaboration of POLIMI. The main activities are related to the development of a flexible environment to present data in a coherent way in order to unify the information and knowledge coming from different tools of the project. Virtual Obeya will be used. This task therefore takes also care of the further developments this tool needs for the Manutelligence project as well as the integration of the all the various tools used or developed within the project (WP2 and WP3). All the activities will be reported in the related deliverable D4.6. In addition a new service is provided to exchange data between ENOVIA 3DExperience (provided by DAS) and LCC /LCA tools (provided by SUPSI and BAL).

Task 4.7 – Testing and validation of the Product Service design and manufacturing collaborative engineering environment (Lead: DAS; Partners: POLIMI, HLX) - M19-M33
The activities of task 4.7 are not yet started.
WP5 - Decision Support System for managing LCA & LCC issues in PSS design and development

Task 5.1 - Reference LCC & LCA Model including Initial LCI (Lead: SUPSI; Partners: POLIMI, DAPP, BAL, Meyer and Fab) - M1-M9;
First, SUPSI carried out a brief overview of literature about LCA and LCC. This piece of work mainly aimed at understanding what already exists for the PSS context that could be taken as a starting point and, hence, what remains to be developed within the project to meet the target objective for LCA and LCC.
Next, the requirements LCA and LCC tools have to satisfy in order to be seamlessly integrated into the Manutelligence platform have been identified based on a collaborative analysis by SUPSI, DAPP and BAL.
Since there are several available tools, a first selection has been done and three tools have been identified as possible candidates to be extended, adapted and integrated into the Manutelligence platform. The candidate tools have been used in a comparative way against the identified requirements. In particular, BAL worked with the tool BAL.LCPA, SUPSI with the tool SAM and DAPP with GaBi.
Finally, SUPSI started to work on the Life Cycle Analysis (LCA) for PSS considering what information are needed as an input to perform the life cycle inventory (LCI) phase of the LCA analysis (and that are requested also for the LCC analysis).
Task 5.2 – Specification and implementation of tools for Product-Service LCC & LCA analysis (Lead: DAPP; Partners: SUPSI, BIBA, BAL) - M7-M24
This task aims at developing the LCA and LCC tools defined according to the work carried out in T5.1. First, DAPP reviewed and updated the list of requirements introduced in T5.1 checking, in particular, the pilots’ point of view. In parallel, several technical discussions took place between SUPSI, BAL and DAPP in order to define the specifications of the LCA and LCC tools. SUPSI is taking care in particular of the development of the LCA tool, whilst BAL is focused on the LCC tool. A first stand-alone version of the tools is expected to be ready by the end of June 2016. DAS is also contributing to this task by providing inputs to take into consideration the Manutelligence platform requirements since the initial tools definition.
Task 5.3– Evaluation of Product-Service LCA & LCC Models and Tools (Lead: SUPSI; Partners: POLIMI, DAPP, BAL, Meyer, Fab) - M10-M33
In this task the tools developed in previous tasks will be tested in the pilots. First, a template for the collection of data requested by the LCI phase of LCA and for the carrying out of LCC has been developed jointly by SUPSI, BAL and DAPP. It has been decided to use a BOM (Bill of Material)-oriented approach. The selection has been supported by Fab who tested the template and provided valuable feedback by using it for the collection of data for a simple product (a 3D-printed Manutelligence logo, see Figure 1).
A more complex product, a lamp (see Figure 1), is being designed by Fab and will be used to test the first version of the LCA and LCC tools. In the next step, SUPSI and BAL are working on the

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

The Manutelligence project stems from the awareness of the transformation of behaviors and needs of people, with a change of pace compared to the past. From here the need to proceed to a product-service design, which then exceeds the concept of the supply of a product to the market but rather that it addresses to propose a new experience and responsive to the needs of the person. The design driven by IoT informations, with a 3D virtual representation and manufacturign simulation, has the potential to provide to the end users product-services freeing the end users from management tasks, making available the most precious thing, that is the time. On the business side, it is foreseen a potential for new activities, as consulting for platform support as well as platform services for SME. Last but not least, the capability to evaluate environment impacts and life cycle costing can have a positive social effect, especially for the future generations.
In particular
1. Fast production and delivery of personalized P-S
An integrated platform is being developed, initial deployment done, with the 3D virtual representation and manufacturing simulation available, IoT data used (integration to be developed in the second part of the project), sustainability calculation integrated for the FabLab case
2. Decreasing lead time in P-S process development
The platform will be validated with the industrial use case, currently end users data for Ferrari and Lindbacks are available for the PS process development, demonstrating the effectiveness of the improvement for the lead time reduction while working with the end users (then services) data
3. Set-up and ramp-up time reduction for new processes and plant designs (30%)
Simulation processes are being used to analyze and validate the virtual 3D representations based on the field data captured with the IoT devices developed for the Ferrari, Lindbacks and FabLab
4. P-S Business Strategy for aligning and managing all processes
Sustainibility solution is being tested for the FabLab case allowing an evalution of the most environment compliant materials and manufacturing processes, to reduce the impact. Life cyucle costing module will enable the evaluation of the overall cost.

Related information

Record Number: 193670 / Last updated on: 2017-01-24
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