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Optimization for Sustainable Manufacturing - Application of Optimization Techniques to Foster Resource Efficiency

Topics: Analytics, Intelligence and Knowledge Engineering; Any emerging services; Artificial Intelligence; Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT and Big Data; Internet of Things; Smart City Examples and Case Studies

Authors: Enrico Ferrera 1 ; Riccardo Tisseur 1 ; Emanuel Lorenço 2 ; E. J. Silva 3 ; Antonio J. Baptista 2 ; Gonçalo Cardeal 3 and Paulo Peças 4

Affiliations: 1 Istituto Superiore Mario Boella, Italy ; 2 Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Portugal ; 3 Instituto de Soldadura e Qualidade, Portugal ; 4 Universidade de Lisboa, Portugal

ISBN: 978-989-758-245-5

Keyword(s): Optimisation, Metaheuristics, Resource Efficiency, Sustainability, Industry 4.0.

Related Ontology Subjects/Areas/Topics: Data Communication Networking ; Enterprise Information Systems ; Internet of Things ; Sensor Networks ; Software Agents and Internet Computing ; Software and Architectures ; Telecommunications

Abstract: Resource efficiency assessment methods, along with eco-efficiency assessment methods are needed for various industrial sectors to support sustainable development, decision-making and evaluate efficiency performance. The combination of eco-efficiency with efficiency assessment allows to identify major inefficiencies and provides means to foster sustainability, through the efficient and effective material and energy use. Despite the available information for decision making, this proves to be a difficult task in the manufacturing industry, therefore, there is a real need to develop and use optimization techniques to enhance resource efficiency. In this context, and due to the lack of simple and integrated tools to assess and optimize resource efficiency, crossing the different environmental and economic aspects, arises the need to develop optimisations models, enabling support and optimize sustainable decision making process and identification of potential improvements. The optimisatio n method should provide robust knowledge to support decisionmaking, allow comparability of the results and consider a cost-saving approach to help set priorities. Moreover, the optimisation techniques should centre the process through design/configuration of the production system, without considering time, in order not to limit the physical agents. (More)

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Paper citation in several formats:
Ferrera, E.; Tisseur, R.; Lorenço, E.; Silva, E.; Baptista, A.; Cardeal, G. and Peças, P. (2017). Optimization for Sustainable Manufacturing - Application of Optimization Techniques to Foster Resource Efficiency.In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-245-5, pages 424-430. DOI: 10.5220/0006374604240430

@conference{iotbds17,
author={Enrico Ferrera. and Riccardo Tisseur. and Emanuel Loren\c{C}o. and E. J. Silva. and Antonio J. Baptista. and Gon\c{C}alo Cardeal. and Paulo Pe\c{C}as.},
title={Optimization for Sustainable Manufacturing - Application of Optimization Techniques to Foster Resource Efficiency},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2017},
pages={424-430},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006374604240430},
isbn={978-989-758-245-5},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Optimization for Sustainable Manufacturing - Application of Optimization Techniques to Foster Resource Efficiency
SN - 978-989-758-245-5
AU - Ferrera, E.
AU - Tisseur, R.
AU - Lorenço, E.
AU - Silva, E.
AU - Baptista, A.
AU - Cardeal, G.
AU - Peças, P.
PY - 2017
SP - 424
EP - 430
DO - 10.5220/0006374604240430

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