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ProSEco

Collaborative Environment for Design of AmI enhanced Product-Services Integrating Highly Personalised Innovative Functions with Minimal Ecological Footprint along Life Cycle and of Their Production Processes

Project Context and Objectives:
The objective of the ProSEco project is to provide a novel methodology and a comprehensive ICT solution for collaborative design of product-services (Meta Products) and their production processes.
The effective extension of products with new services in different sectors (automotive, home appliances, automation equipment, etc.) will be achieved by means of Ambient Intelligence (AmI) technology, Lean and Eco-design principles and applying Life Cycle Assessment techniques.
The project is driven by four industrial application scenarios addressing different aspects of service and business building as well as product/process development (complex internal and external supply chains) in order to assure that the means for collaborative service generation and product-service and production process design to be developed in the project will be relevant for industry.
Business Case scenarios are at:
• Volkswagen with personalised support to drivers to optimise energy use (in classical, hybrid and electrical cars)
• Electrolux with services to support remote condition based maintenance of household appliances
• Desma with support remote condition based maintenance for shoe manufacturing machines
• ONA and Alberdi with lean–based design of eco–driven services around machines

Meta Products will be built as a combination of so-called generic core services (applicable in various sectors) and application specific services, while engineering tools will support product/process design and generation of these PES services involving collaboration of all stakeholders.
ProSEco system will offer a Development Platform to create PES and a Deployment Platform where the PES will be used along with their specific application.
The following reference workflow concerns development of new Meta Products. However, the solutions proposed by ProSEco will also be used to update/upgrade/reconfigure existing Meta Products and PES, and in that case the workflow might be quite different.
The steps are briefly described below:
• Idea creation: This initial part of the process will start with the analysis the environmental performance of the current product-system reality (taking into account the whole life cycle perspective) in order identify improvement areas. With the help of ProSEco methodologies and other engineering tools, the stakeholders will conceptualize a PES solution as an extension to an existing meta-product or process to produce
• Social Simulation: This step will comprise collaborative activities targeted at estimating the expected social impact derived from the introduction of a PES solution into the market as an extension to a new or an existing product
• Data mining: This activity will be leveraged to extract patterns of use, which can be used for the configuration of a PES or to improve future product designs by means of the application of appropriate feedback mechanisms
• Data Capture/AmI sensors selection: This activity will configure the available sources of data that will feed the PES
• Functional Specification. This step will create the documentation that describes the requested behaviour of the PES, that is, what is needed by the system as well as requested properties for inputs and outputs
• Context Modelling: This step will enable ProSEco users to model the context for the PES using reasoning methods, enhancing AmI sensors monitoring data contextualization
• Security Configuration: This activity will enforce the applicable policies to restrict and protect PES data provision according to users’ data protection rules
• PES orchestration: The outcome of the previous activities will be orchestrated so as to build a PES solution around a product / process
• PES deployment: The PES will be deployed into a collaborative environment and used in runtime by the end-users as an extended service to an existing meta-product

More information under: https://www.proseco-project.eu/

ProSeco has received funding from the European Union’s RP 7 research and innovation programme under grant agreement no. 609143

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