Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/19082
Title: | A Smart product co-design and monitoring framework via gamification and complex event processing | Authors: | Loizou, Spyros Elgammal, Amal Kumara, Indika Christodoulou, Panayiotis Papazoglou, Mike Andreou, Andreas S. |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Product-service Systems;Smart Product;Customization;Product-oriented Configuration Language;PoCL;Gamification;PSS Monitoring;Complex Event Processing | Issue Date: | May-2019 | Source: | 21st International Conference on Enterprise Information Systems, 2019, 3-5 May, Heraklion, Crete, Greece | Conference: | International Conference on Enterprise Information Systems | Abstract: | In the traditional software development cycle, requirements gathering is considered the most critical phase. Getting the requirements right early has become a dogma in software engineering because the correction of erroneous or incomplete requirements in later software development phases becomes overly expensive. For product-service systems (PSS), this dogma and standard requirements engineering (RE) approaches are not appropriate because classical RE is considered concluded once a product service is delivered. This paper proposes a novel framework that enables the customer and the product engineer to co-design smart products by integrating three novel and advanced technologies to support: view-based modelling, visualization and monitoring, i.e., Product-Oriented Configuration Language (PoCL), gamification and Complex Event Processing (CEP), respectively. These create a “digital-twin” model of the connected ‘smart’ factory of the future. The framework is formally founded on the novel concept of manufacturing blueprints, which are formalized knowledge-intensive structures that provide the basis for actionable PSS and production “intelligence” and a move toward more fact-based manufacturing decisions. Implementation and validation of the proposed framework through real-life case studies are ongoing to validate the applicability, utility and efficacy of the proposed solutions. | URI: | https://hdl.handle.net/20.500.14279/19082 | ISBN: | 978-989758372-8 | DOI: | 10.5220/0007720902370244 | Rights: | © SCITEPRESS Attribution-NonCommercial-NoDerivatives 4.0 International |
Type: | Conference Papers | Affiliation : | Cyprus University of Technology Cairo University Tilburg University |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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File | Description | Size | Format | |
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ICEIS_2019_97.pdf | Fulltext | 1.14 MB | Adobe PDF | View/Open |
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