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
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 optimisati
on 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.
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