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Cloud-based Situational Analysis for Factories providing Real-time Reconfiguration Services

Deliverables

Early Project Presentation and Brochure

An initial leaflet and presentation of the project will be made available for dissemination.

Final Project Website

In the project website, the project, partners and current dissemination activities and work on the project will be presented.

Final Project Presentation and Brochure

An final leaflet and presentation of the project will be made available for dissemination.

Initial Project Website

In the project website, the project, partners and current dissemination activities and work on the project will be presented.

Intermediate Project Website

In the project website, the project, partners and current dissemination activities and work on the project will be presented.

Full Prototype of the SPT Framework

The deliverable will be the full set of functionalities demonstrating the SPT Runtime features integrated within the SAFIRE infrastructure. In addition, a short report describing the components’ functionalities and showing the evolution from the early prototype will be delivered as well.

Full Prototype of Dynamic and Predictable Reconfiguration and Optimisation Engine

The deliverable will be the final prototype of the software and hardware accelerators implementing the full set of functionalities, demonstrating the hardware-accelerated optimisation and reconfiguration engine. In addition, a short report describing the components’ functionalities and showing the evolution from the early prototype will be delivered as well.

Full Prototype of Predictive Analytics Platform

This deliverable will report the results of the full prototype. Moreover, the deliverable will provide documentation to install and execute within a production environment.

Full Prototype of Situational Awareness Services

Full set of the specified functionalities will be developed and the full prototype of the situation analysis and determination service (including monitoring) will be the deliverable. In addition, a short report describing the components’ functionalities and showing the evolution from the early prototype will be delivered as well.

Public SAFIRE Concept

The public version of the SAFIRE concept.

Optimisation Metrics and Benchmarking

Describes the industry-driven optimisation metrics related to each business case, the respective data collection strategies and the respective configuration quality evaluation methods. Defines the real-time constraints to the data analytics, optimisation and reconfiguration of each business case. Identifies benchmarks that will be used during the evaluation of the data analytics and optimisation engine prototypes.

Integrated Methodology

It will comprise detailed optimised methodological approach and practical guidelines for selecting and customising the implemented SAFIRE solutions/services.

Assessment Methodology

Report providing detailed description of the planned testbeds in all 3 BCs, metrics and test documentation to be provided.

Methodology for SPT for Product Data and Configurations

This deliverable details the methodological approach and detailed derived security requirements for the SPT Framework and how it will serve the SAFIRE infrastructure.

Quality Management Plan

Describes the quality management procedures that will be followed by the consortium.

Methodology for Predictive Analytics Platform

A methodology to how to get model information and convert it to a dataflow will be elaborated by IKER, supported by all other partners.

Methodology for Situational Awareness

This deliverable details the specification of the methodological approach and practical guidelines for applying and customizing the services for situation modelling and determination as well as required steps and prerequisites that need to be covered in order to setup the envisaged SAFIRE infrastructure, allowing monitoring and observing of existing systems and devices/equipment.

Methodology for Dynamic and Predictable Reconfiguration and Optimisation Engine

This deliverable details the methodological approach and detailed derived requirements for the Reconfiguration and Optimisation Engine, as well as the requirements it imposes onto the underlying real-time cloud computing platform.

Open Data Use Plan

Development of a Data Management Plan (DMP) that details what types of data generated by the project will be open, according to “Guidelines on Data Management in Horizon 2020”.

SAFIRE Demonstrators

Comprises the implementation of the SAFIRE solutions in BCs, for testing of the system with specific topics in three industrial partners. The demonstrators will be showcases and short public report in a form of a case study will be provided as well.

Publications

Value-Based Allocation of Docker Containers

Author(s): Piotr Dziurzanski, Leandro Soares Indrusiak
Published in: 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), 2018, Page(s) 358-362, ISBN 978-1-5386-4975-6
Publisher: IEEE
DOI: 10.1109/PDP2018.2018.00064

An Approach for Cloud-Based Situational Analysis for Factories Providing Real-Time Reconfiguration Services

Author(s): Sebastian Scholze, Kevin Nagorny, Rebecca Siafaka, Karl Krone
Published in: IFIP Advances in Information and Communication Technology, AICT-506, pp.118-127, 2017, Collaboration in a Data-Rich World., Issue AICT-506, 2017, Page(s) 118-127
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-65151-4_11

Value-based manufacturing optimisation in serverless clouds for industry 4.0

Author(s): Piotr Dziurzanski, Jerry Swan, Leandro Soares Indrusiak
Published in: Proceedings of the Genetic and Evolutionary Computation Conference, 2018, Page(s) 1222-1229, ISBN 9781-450356183
Publisher: ACM
DOI: 10.1145/3205455.3205501

Scheduling of Smart Factories using Edge Computing and Clouds

Author(s): Dziurzanski, Piotr , Swan, Jerry and Soares Indrusiak, Leandro
Published in: 1st International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems (TREC4CPS), 2018
Publisher: Institute for Software Integrated Systems, Vanderbilt University

Implementing Digital Twins of Smart Factories with Interval Algebra

Author(s): Piotr Dziurzanski, Jerry Swan, Leandro Soares Indrusiak, J. M. Ramos
Published in: 2019 IEEE International Conference on Industrial Technology (ICIT), 2019, Page(s) 941-948, ISBN 978-1-5386-6376-9
Publisher: IEEE
DOI: 10.1109/icit.2019.8755026

Evolutionary Optimisation of Real-Time Systems and Networks

Author(s): Leandro Soares Indrusiak, Robert I. Davis, Piotr Dziurzanski
Published in: 6th International Conference on Computational Science and Technology (ICCST), 2019
Publisher: Cornell University

An XML-based Factory Description Language for Smart Manufacturing Plants in Industry 4.0

Author(s): Shuai Zhao, Piotr Dziurzanski, Leandro Soares Indrusiak
Published in: International Workshop on Reconfigurable and Communication-centric Cyber-Physical Systems (ReCoCyPS 2019), 2019
Publisher: Cornell University

Integrated Process Planning and Scheduling in Commercial Smart Kitchens

Author(s): Piotr Dziurzanski, Shuai Zhao, Leandro Soares Indrusiak
Published in: International Workshop on Reconfigurable and Communication-centric Cyber-Physical Systems (ReCoCyPS 2019), 2019
Publisher: Cornell University

Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factories

Author(s): Shuai Zhao, Piotr Dziurzanski, Michal Przewozniczek, Marcin Komarnicki, Leandro Soares Indrusiak
Published in: Proceedings of the Genetic and Evolutionary Computation Conference, 2019, Page(s) 1381-1389, ISBN 9781-450361118
Publisher: ACM
DOI: 10.1145/3321707.3321826

Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation

Author(s): Shuai Zhao, Piotr Dziurzanski, Leandro Soares Indrusiak
Published in: 10th International Conference on Manufacturing Science and Technology (ICMST), 2019
Publisher: Cornell University

Synthesizing Real-Time Schedulability Tests using Evolutionary Algorithms: A Proof of Concept

Author(s): Piotr Dziurzanski, Robert I. Davis, Leandro Soares Indrusiak
Published in: 2019 IEEE Real-Time Systems Symposium (RTSS), 2019, Page(s) 43-55, ISBN 978-1-7281-6463-2
Publisher: IEEE
DOI: 10.1109/rtss46320.2019.00015

Situation-aware Re-configuration of Production Processes

Author(s): Scholze, Sebastian; Siafaka, Rebecca; Nagorny, Kevin; Zilverberg, Albert; Krone, Karl
Published in: International Workshop on Reconfigurable and Communication-centric Cyber-Physical Systems (ReCoCyPS 2019), 2019
Publisher: Cornell University

Metaheuristic Design Patterns - New Perspectives for Larger-Scale Search Architectures

Author(s): Krzysztof Krawiec, Christopher Simons, Jerry Swan, John Woodward
Published in: Handbook of Research on Emergent Applications of Optimization Algorithms, 2018, Page(s) 1-36, ISBN 9781-522529903
Publisher: IGI Global
DOI: 10.4018/978-1-5225-2990-3.ch001

Solving the Multi-objective Flexible Job-Shop Scheduling Problem with Alternative Recipes for a Chemical Production Process

Author(s): Piotr Dziurzanski, Shuai Zhao, Jerry Swan, Leandro Soares Indrusiak, Sebastian Scholze, Karl Krone
Published in: Applications of Evolutionary Computation - 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings, Issue 11454, 2019, Page(s) 33-48, ISBN 978-3-030-16691-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-16692-2_3

Cloud-Based Integrated Process Planning and Scheduling Optimisation via Asynchronous Islands

Author(s): Shuai Zhao, Haitao Mei, Piotr Dziurzanski, Michal Przewozniczek, Leandro Soares Indrusiak
Published in: Economics of Grids, Clouds, Systems, and Services - 16th International Conference, GECON 2019, Leeds, UK, September 17–19, 2019, Proceedings, Issue 11819, 2019, Page(s) 247-259, ISBN 978-3-030-36026-9
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-36027-6_21

Scalable distributed evolutionary algorithm orchestration using Docker containers

Author(s): Piotr Dziurzanski, Shuai Zhao, Michal Przewozniczek, Marcin Komarnicki, Leandro Soares Indrusiak
Published in: Journal of Computational Science, Issue 40, 2020, Page(s) 101069, ISSN 1877-7503
Publisher: Elsevier BV
DOI: 10.1016/j.jocs.2019.101069

Process planning and scheduling optimisation with alternative recipes

Author(s): Piotr Dziurzanski, Shuai Zhao, Sebastian Scholze, Albert Zilverberg, Karl Krone, Leandro Soares Indrusiak
Published in: at - Automatisierungstechnik, Issue 68/2, 2020, Page(s) 140-147, ISSN 0178-2312
Publisher: Oldenbourg Wissenschaftsverlag GmbH
DOI: 10.1515/auto-2019-0104

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