Authors: Michalis Pingos 1 ; Amal Elgammal 2 ; Indika Kumara 3 ; Panayiotis Christodoulou 1 ; Mike Papazoglou 3 and Andreas Andreou 1

Affiliations: 1 Department of Computer Engineering and Informatics, Cyprus University of Technology, Limassol and Cyprus ; 2 Department of Computers & Information, Cairo University and Egypt ; 3 Department of Economics and Management, Tilburg University and Netherlands

ISBN: 978-989-758-372-8

ISSN: 2184-4992

Keyword(s): Product-Service Systems, Smart Product Customization, Smart Shop-floor Monitoring, M2M, H2M.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Data Communication Networking ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Internet of Things ; Methodologies and Technologies ; Model Driven Architectures and Engineering ; Operational Research ; Sensor Networks ; Simulation ; Software Agents and Internet Computing ; Software and Architectures ; Software Engineering ; Telecommunications ; Tools, Techniques and Methodologies for System Development

Abstract: Nowadays, Product-Service-Systems (PSS) are being modernized into smart connected products that target to transform the industrial scenery and unlock unique prospects. This concept enforces a new technological heap and lifecycle models to support smart connected products. The intelligence that smart, connected products embed paves the way for more sophisticated data gathering and analytics capabilities ushering in tandem a new era of smarter supply and production chains, smarter production processes, and even end-to-end connected manufacturing ecosystems. The main contribution of this paper is a smart shop-floor monitoring framework and underpinning technological solutions, which enables the proactive identification and resolution of shop-floor distributions. The proposed monitoring framework is based on the synergy between the novel concept of Manufacturing Blueprints and Complex Event Processing (CEP) technologies, while it encompasses a middleware layer that enables loose coupling and adaptation in practice. The framework provides the basis for actionable PSS and production “intelligence” and facilitates a shift toward more fact-based manufacturing decisions. Implementation and validation of the proposed framework is performed through a real-world case study which demonstrates its applicability, and assesses the usability and efficiency of the proposed solutions. (More)

PDF ImageFull Text


Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Pingos, M.; Elgammal, A.; Kumara, I.; Christodoulou, P.; Papazoglou, M. and Andreou, A. (2019). Smart Shop-floor Monitoring via Manufacturing Blueprints and Complex-event Processing.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-372-8, ISSN 2184-4992, pages 229-236. DOI: 10.5220/0007720802290236

author={Michalis Pingos. and Amal Elgammal. and Indika Kumara. and Panayiotis Christodoulou. and Mike P. Papazoglou. and Andreas S. Andreou.},
title={Smart Shop-floor Monitoring via Manufacturing Blueprints and Complex-event Processing},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,},


JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Smart Shop-floor Monitoring via Manufacturing Blueprints and Complex-event Processing
SN - 978-989-758-372-8
AU - Pingos, M.
AU - Elgammal, A.
AU - Kumara, I.
AU - Christodoulou, P.
AU - Papazoglou, M.
AU - Andreou, A.
PY - 2019
SP - 229
EP - 236
DO - 10.5220/0007720802290236

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.