BOC Asset Management GmbH

Vienna, Austria

BOC Asset Management GmbH

Vienna, Austria
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Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FOF-03-2016 | Award Amount: 5.03M | Year: 2016

Multi-stage manufacturing, which is typical in important industrial sectors such as automotive, house hold appliance and semiconductor manufacturing just to name few, is inherently complex. The main idea of GO0D MAN project is to integrate and combine process and quality control for a multi stage manufacturing production into a distributed system architecture built on agent-based Cyber-Physical Systems (CPS) and smart inspection tools designed to support Zero-Defect Manufacturing (ZDM) strategies. Data analytics tools provide a mean for knowledge build-up, system control and ZDM management. Real time and early identification of deviations and trends, performed at local level, allow to prevent the generation of defects at single stage and their propagation to down-stream processes, enabling the global system to be predictive (early detection of process faults) and proactive (self-adaptation to different conditions). The GO0D MAN project is based on the results of previous successful EU projects and integrates them to realize and deploy a Zero Defect Manufacturing framework for multi-stage production lines, in collaboration with industry partners, a system integrator, two technology providers and three end users. The use cases are representative of key European industrial sectors and have different types of multi-stage production systems: the first use case concerns highly automated serial mass production of automotive components, the second use case is about batch production of high precision mechanical components for automotive electro valves, the third use case produces professional customized products such as ovens for restaurants. Successful completion of this project will provide a replicable system architecture for ZDM. The results will be broadly applicable in a variety of industries to improve the overall quality and productivity of production systems.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-07-2014 | Award Amount: 4.08M | Year: 2015

Business and IT Alignment is important challenge, as we are facing a dramatic change in the way we rely, depend and interact with ICT that influences our everyday life. Although digital natives will soon enter the workforce, there is still a huge gap between the business domain and ICT domain in terms of awareness, common understanding or expertise. This hampers the take-off of technology such as Cloud Computing. Hence, we are facing a competition, between global-market players who quicker succeed in changing business into the Cloud to raise ICT efficiency and reduce costs. This is particularly true for SMEs that have started to embrace virtualisation or at best IaaS offers but the exploding and dynamic market of components available on the PaaS or SaaS level demands for expertise and time typically not available at SMEs. Business processes are commodity when defining business activities in human understandable way in form of sequences of manual, semi-automatic or automated tasks with the aim to achieve the companys goal. Previous work in plugIT mapped business processes on static ICT configurations available at a companys site, assuming ICT is still mainly configured on platform or component level. CloudSocket envisions the idea of Business Process as a Service, where domain-specific business processes like employee registration at social insurance, tax report, or legal verification are supported by workflows that optimally match the ICT support for the selected process. The ICT support is expected to be realized by available platforms or software components from PaaS or SaaS platforms. CloudSocket introduces the concept BPaaS that fulfills the business process needs thanks to smart alignment techniques, packages this BPaaS as extended Cloudlets that are autonomously deployable and include adaptive rules to appropriately react in a multi-cloud environment by keeping SLAs and process-based billing. Hence, the vision is to plug business into the Cloud.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EE-11-2014 | Award Amount: 1.78M | Year: 2015

Tertiary sector buildings sector consume a sizeable proportion of EU total energy consumption and the majority of consumption is directly attributed to the operational phase of the building life-cycle. Occupant behaviour is a major cause of this consumption. OrbEEt proposes an ICT-based framework to induce behaviour change toward energy efficiency by transforming energy measurements into personalized feedback delivered through engaging user interfaces. To achieve this challenge, OrbEEt foresees dynamic, spatially fine-grained extensions of building-level Operational Rating methodologies and Display Energy Certificates to provide a detailed view of energy use in office spaces, business processes and organizational entities rather than entire buildings. The fusion of information from Building Information Models, Business Process Models and real-time energy use measurement via a comprehensive ICT cloud service - the Systemic Enterprise Operational Rating framework - will enable energy use tracking and will establish direct accountability of people, processes and spaces toward overall consumption. Exposing the direct influence of occupant behaviour on energy use enables the design and successful deployment of behavioural change campaigns in public organization buildings. OrbEEt proposes interventions appealing to intrinsic/extrinsic human motivators through intra-organization social competitions and organization-wide social collaboration endeavours. The OrbEEt framework and behavioural change interventions will undergo real-life pilot validation in four EU public buildings that provide the business, cultural and geographical diversity for demonstration of result effectiveness and transferability. Finally, the OrbEEt consortium will use a User Driven Innovation Approach throughout its development, deployment and validation of phases to leverage and actively support Open Innovation and the EU Cleanweb/start-up community toward further exploitation of its outcomes.


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.8.2 | Award Amount: 3.53M | Year: 2014

In modern society public administrations (PAs) are undergoing a transformation of their perceived role from controllers to proactive service providers, and are under pressure to constantly improve their service quality while coping with quickly changing context (changes in law and regulations, societal globalization, fast technology evolution) and decreasing budgets. Civil servants are challenged to understand and put in action latest procedures and rules within tight time constraints. Learn PAd will build an innovative holistic e-learning platform for PAs that enables process-driven learning and fosters cooperation and knowledge-sharing. Learn PAd technical innovation is based on four pillars:\n1. a new concept of model-based e-learning (both process and knowledge)\n2. open and collaborative e-learning content management\n3. automatic, learner-specific and collaborative content quality assessment\n4. automatic model-driven simulation-based learning and testing\nLearn PAd considers learning and working strongly intertwined (learning while doing). The platform supports both an informative learning approach based on enriched business process (BP) models, and a procedural learning approach based on simulation and monitoring (learning by doing). Formal verification and natural language processing techniques will ensure quality of content and documentation. Specialized ontologies and KPIs will be defined to keep learners engaged, while automatically derived tests will challenge their acquired knowledge. Learn PAd is inspired by open-source communities principles and cooperation spirit: contents are produced by the community, and meritocracy is naturally promoted, with leaders emerging because of their skill and expertise. Finally Learn PAd will contribute to dissemination and evolution of BPMN and related modeling standards.


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: SEC-2010.6.3-2 | Award Amount: 4.52M | Year: 2011

FOCUS will allow designing European security research to effectively cope with future EU roles responding to tomorrows challenges resulting from the globalization of risks, threats and vulnerabilities. It will do so through the elaboration of multiple scenarios based on IT-supported foresight in the form of alternative futures that are plausibility-probed and not just threat scenarios. FOCUS will design and apply an embedded scenario integrating method, delineating options for future tracks and broadened concepts of security research within context scenarios for EU roles to respond to transversal challenges (whose causes are exogenous, but whose consequences will be experienced within the EU). This will be performed along five big themes: 1) different tracks of a comprehensive approach as followed by European institutions, Member States and international strategic actors, particularly including linkages between the internal and external dimension of security; 2) natural disasters and environment-related hazards, focused on comprehensive risk reduction, civil protection and reconstruction; 3) critical infrastructure and supply chain protection, centred on preventing and responding to malicious attacks on EU citizens and utilities abroad as well as to meet threats before they reach the EU or affect the supply chain; 4) the EU as a global actor based on the wider Petersberg Tasks, building on EU and member states instruments and capability processes; 5) the evolution of the EUs internal framework and prerequisites for delivering a comprehensive approach, including Lisbon treaty provisions and relevant strategies (e.g. for engagement with other international actors) as well as ethical acceptability and public acceptance. FOCUS will deliver (a) an IT Platform with tools and infrastructure for designing, applying, evaluating and managing scenarios for research planning, (b) populated with scenarios and analyses; (c) a roadmap with new tracks for security research.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FoF-08-2015 | Award Amount: 7.14M | Year: 2015

The objectives of Computer Aided Technologies for Additive Manufacturing (CAxMan) are to establish Cloud based Toolboxes, Workflows and a One Stop-Shop for CAx-technologies supporting the design, simulation and process planning for additive manufacturing. More specifically the objectives are to establish analysis-based design approaches with the following aims: -To reduce material usage by 12% through introducing internal cavities and voids, whilst maintaining component properties; -To optimize distribution and grading of material for multi-material additive manufacturing processes; and -To facilitate the manufacture of components which are currently impossible or very difficult to produce by subtractive processes (e.g., cutting and abrasive operations); -To enhance analysis-based process planning for additive manufacturing including thermal and stress aspects, and their interoperability with the design phase; -To enable the compatibility of additive and subtractive processes in production in order to combine the flexibility of shape in additive manufacturing with the surface finish of subtractive processes. CAxMan delivers: -Cloud Portal in form of a market place - of Cloud application and services addressing the design, analysis, production chain for additive manufacturing. Hence, all necessary software components to act a Broker of such services will be developed in CAxMan. ARCTUR will host the marketplace. -An ecosystem of Open Source of algorithmic toolkits for additive manufacturing will be established during the life time of the project, in order to enable sustainability of the marketplace after the project duration, SINTEF will trigger the Open Source community. -Lessons Learned and practical pattern collections of quantifiable advantages of findings with respect to interoperable model representations for the design production chain for Additive Manufacturing -Proposed extension to ISO 10303 (STEP) Part 242 edition 2, and byISO / ASTM52915


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.6.2 | Award Amount: 3.64M | Year: 2012

The e-SAVE project aims to contribute to an energy-efficient supply chain by providing the system, services, collaboration platform and management tools that will help companies monitor, manage and share energy use and carbon footprint data in order to support operational as well as strategic decision making and supply chain design decisions. The project will specifically focus on the consumer goods sector, by involving the ECR Europe organisation, representing all major manufacturers and retailers in this sector, as well as one of its active members, Barilla, who pioneers in environmental sustainability practices. Emphasis is placed on industry adoption and quantifiable impact assessment.\n\nThe e-SAVE technical approach relies on an interoperable information infrastructure that integrates ERP systems with automatic data capturing technologies (mainly smart energy meters and unique product identification technologies) in order to support generic components for energy efficiency monitoring and life cycle assessment; upon these e-SAVE deploys new optimization algorithms for energy-efficient supply chain operations, simulation models and tools for strategic supply chain design decisions and dynamic energy-efficiency product labelling. The project will further build on existing market-leading tools owned by the e-SAVE partners in the fields of energy-monitoring, life-cycle assessment and simulation. Contribution to information sharing standards and energy efficiency ontologies will also be sought.\n\nOverall, the e-SAVE project aims to deliver a modular and extensible information, collaboration and management support infrastructure that not only captures the data required for effectively monitoring energy use and other environmental measures, but also provides the management tools that utilize this information and support decisions and every day operations for reducing energy consumption and carbon emissions in a feedback loop.


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.5.3 | Award Amount: 4.08M | Year: 2011

The eHealthMonitor project provides a platform that generates a Personal eHealth Knowledge Space (PeKS) as an aggregation of all knowledge sources (e.g., EHR and PHR) relevant for the provision of individualized personal eHealth services. This is realised by integrating service-oriented architecture, knowledge engineering, multiagent systems, and wearable/portable devices technologies. Innovations in eHealthMonitor are: (1) an adaptive, sustainable platform architecture for individualized personal electronic healthcare services; (2) reasoning, model evolution, and model summarization methods based on semantic models with different degrees of granularity, specificity, and different types of heterogeneity (syntactic, lexical, semantic); (3) distributed, adaptive knowledge sharing coordination methods which consider privacy protection requirements; and (4) personal eHealth services that support cooperation and decision making of the involved participants (patients, clinicians, social services): medical decision support services, personal information services, environmental and lifestyle risk factor monitoring services, and physiological and bio-chemical data monitoring services.\n\nThe eHealthMonitor platform and health services are evaluated in three case studies: Deployment of the platform in two hospital scenarios built around two of the most relevant issues in the current EU eHealth environment (1) dementia and (2) cardiovascular diseases involving patients and medical professionals. (3) Deployment of the eHealthMonitor platform as part of prevention strategies where an insurance company provides its clients (patients and non-patients) access to the eHealthMonitor services in order to lower the risk of potential diseases.\n\nThe impact is ensured through an active open source (OS) strategy which bases all basic software components on existing OS software and releases developed eHealth reference processes and guidelines as open models through Open Model Initiative.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FOF-11-2016 | Award Amount: 3.47M | Year: 2016

Industry 4.0 is the next developmental stage in the organisation of the manufacturing value chain. ICT-based systems will play a major role, mainly by creating a virtual copy of the physical world and facilitating decentralised structures through Cyber-Physical Systems (CPS). Over the IoT, CPS cooperate with each other and humans in real-time. Via the Internet-of-Services, internal and cross-organisational services are utilised by participants of the value chain. DISRUPT aims to spearhead the transition to the next-generation manufacturing by facilitating the vision of a Smart Factory. The new era of manufacturing asks for flexible factories that can be quickly reprogrammed to provide faster time-to-market responding to global consumer demand, address mass-customisation needs and bring life to innovative products. The traditional automation pyramid seems unable to accommodate this transformation. Our concept is to DISRUPT that pyramid by utilising the capabilities offered by modern ICT to facilitate (i) in-depth (self-)monitoring of machines and processes, (ii) decision support and decentralised (self-)adjustment of production, (iii) effective collaboration of the different IoT-connected machines with tools, services and actors (iv) seamless communication of information and decisions from and to the plant floor and (v) efficient interaction with value chain partners. Within DISRUPT, each element of production is controlled via the IoT by its virtual counterpart. The data collected is analysed to detect complex events that trigger automated actions. DISRUPT offers a set of decision support tools based on three core modules (modelling, simulation and optimisation) and a secure and flexible plug-n-play platform that will allow engineers from different disciplines to collaborate in developing services. It will be cloud-based to accommodate the anticipated high data volume and computational needs, while offering accessibility via any device anywhere in the world.


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: FoF-ICT-2011.7.3 | Award Amount: 4.22M | Year: 2011

EU needs an effective exit strategy from crisis: to this end innovation is a key issue for the EU industrial system. Innovation is a complex issue, requiring both special expertise and a large amount of knowledge. I.e., domain knowledge (on the industry sector) but also knowledge on technology, business models, finances, markets, etc. Innovation is not an easily job for a single enterprise, then really a challenge for a networked virtual enterprise. The BIVEE project intends to develop a rich framework, i.e., a software environment that includes business principles, models, and best practices, to promote innovation in virtual enterprise environments. Effective innovation needs to be aware of what is going on inside the VE, at the production level, and at the same time outside it, where a plethora of elements move fast and often unexpectedly (i.e., markets, technology, finances, competitors, etc.). In BIVEE we introduced the notions of Value Production and Business Innovation space that shape the BIVEE framework, including the knowledge repository that collects all the required elements, inside and outside the VE. The knowledge repository is the key asset of the Mission Control Room, that monitors and manages the VE production, and the Virtual Innovation Factory that produces innovation and manages its introduction in the VE. The workplan of BIVEE emphasizes the impact achievement. To this end it has been based on two different trial applications (in furniture and high tech equipments, respectively), both organised in two major trial phases: Phase1 for monitoring the course of production before the introduction of BIVEE environment and Phase2 where the VE achievements are assessed having the BIVEE environment in place. The two trial cases are quite different, to prove the flexibility and adoptability of BIVEE. To achieve the objective goals we organised a strong industry-driven consortium, having 7 industrial and 2 research partners.

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