Developing an input-output model for benchmarking company resource usage

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Pedro Miguel Vicente Bila
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10362/19144
Resumo: The intensive exploitation of natural resources and the increased awareness regarding the impact of their consumption on the environment suggests the need to be more efficient and to encourage a sustainable use of these resources. This is also a major goal for all industrial companies that are currently facing high costs related to energy, water, and material resources for production while aiming to remain competitive in the market. This dissertation introduces the development of a model, which through data input proceeding from resource’s consumption in manufacturing companies generates an output of resource efficiency indicators in six different categories (materials, energy, water, wastewater, solid-waste; air-emissions) which are in turn used for benchmarking company resource usage and then provide a solid basis for decision-making regarding the implementation of resource efficiency measures, that shall lead companies to improve their overall efficiency and profitability. In order to further assess the companies’ performance in terms of resource efficiency, it is applied a ranking system using fuzzy logic due to its ability to model complex realities and use subjective information based on human knowledge and experience.
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spelling Developing an input-output model for benchmarking company resource usageResource efficiencyPerformance indicatorsBenchmarkingFuzzy logicDomínio/Área Científica::Engenharia e Tecnologia::Engenharia MecânicaThe intensive exploitation of natural resources and the increased awareness regarding the impact of their consumption on the environment suggests the need to be more efficient and to encourage a sustainable use of these resources. This is also a major goal for all industrial companies that are currently facing high costs related to energy, water, and material resources for production while aiming to remain competitive in the market. This dissertation introduces the development of a model, which through data input proceeding from resource’s consumption in manufacturing companies generates an output of resource efficiency indicators in six different categories (materials, energy, water, wastewater, solid-waste; air-emissions) which are in turn used for benchmarking company resource usage and then provide a solid basis for decision-making regarding the implementation of resource efficiency measures, that shall lead companies to improve their overall efficiency and profitability. In order to further assess the companies’ performance in terms of resource efficiency, it is applied a ranking system using fuzzy logic due to its ability to model complex realities and use subjective information based on human knowledge and experience.Nunes, IsabelPechmann, AgnesRUNRodrigues, Pedro Miguel Vicente Bila2016-10-18T10:05:31Z2016-032016-102016-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/19144enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:23:44Zoai:run.unl.pt:10362/19144Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:54:51.800200Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Developing an input-output model for benchmarking company resource usage
title Developing an input-output model for benchmarking company resource usage
spellingShingle Developing an input-output model for benchmarking company resource usage
Rodrigues, Pedro Miguel Vicente Bila
Resource efficiency
Performance indicators
Benchmarking
Fuzzy logic
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Mecânica
title_short Developing an input-output model for benchmarking company resource usage
title_full Developing an input-output model for benchmarking company resource usage
title_fullStr Developing an input-output model for benchmarking company resource usage
title_full_unstemmed Developing an input-output model for benchmarking company resource usage
title_sort Developing an input-output model for benchmarking company resource usage
author Rodrigues, Pedro Miguel Vicente Bila
author_facet Rodrigues, Pedro Miguel Vicente Bila
author_role author
dc.contributor.none.fl_str_mv Nunes, Isabel
Pechmann, Agnes
RUN
dc.contributor.author.fl_str_mv Rodrigues, Pedro Miguel Vicente Bila
dc.subject.por.fl_str_mv Resource efficiency
Performance indicators
Benchmarking
Fuzzy logic
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Mecânica
topic Resource efficiency
Performance indicators
Benchmarking
Fuzzy logic
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Mecânica
description The intensive exploitation of natural resources and the increased awareness regarding the impact of their consumption on the environment suggests the need to be more efficient and to encourage a sustainable use of these resources. This is also a major goal for all industrial companies that are currently facing high costs related to energy, water, and material resources for production while aiming to remain competitive in the market. This dissertation introduces the development of a model, which through data input proceeding from resource’s consumption in manufacturing companies generates an output of resource efficiency indicators in six different categories (materials, energy, water, wastewater, solid-waste; air-emissions) which are in turn used for benchmarking company resource usage and then provide a solid basis for decision-making regarding the implementation of resource efficiency measures, that shall lead companies to improve their overall efficiency and profitability. In order to further assess the companies’ performance in terms of resource efficiency, it is applied a ranking system using fuzzy logic due to its ability to model complex realities and use subjective information based on human knowledge and experience.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-18T10:05:31Z
2016-03
2016-10
2016-03-01T00:00:00Z
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