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  4. A Smart product co-design and monitoring framework via gamification and complex event processing
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A Smart product co-design and monitoring framework via gamification and complex event processing

Date Issued
May 2019
Author(s)
Loizou, Spyros  
Elgammal, Amal  
Kumara, Indika  
Christodoulou, Panayiotis  
Papazoglou, Mike  
Andreou, Andreas S.  
DOI
10.5220/0007720902370244
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.
Subjects

Product-service Syste...

Smart Product

Customization

Product-oriented Conf...

PoCL

Gamification

PSS Monitoring

Complex Event Process...

Affiliation
Cyprus University of Technology  
Cairo University  
Tilburg University  
Handle
https://hdl.handle.net/20.500.14279/19082
File(s)
Thumbnail Image
Name

ICEIS_2019_97.pdf

Size

1.11 MB

Format

Adobe PDF

Checksum (MD5)

4abccc1febcd47e0d2fa77d60a9722d3

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