Projeto de redes de fornecimento regenerativas

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: Souza, Vitor Miranda de
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Universidade Tecnológica Federal do Paraná
Curitiba
Brasil
Programa de Pós-Graduação em Engenharia Mecânica e de Materiais
UTFPR
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/4168
Resumo: The strategy of environmental impact minimisation has not been effective enough to revert the damage caused to the environment by production systems; a shift is needed towards promoting environmental benefits. These production systems must also cope with disturbances, while ensuring that their function is fulfilled - a capability known as Resilience - to deploy environmental benefits in the long term. Initiatives in the field of Supply Network Design - a specific type of production system - have focused on improving eco-efficiency, proposing eco-effective networks, or enhancing their Resilience. However, it could not be found in the literature any initiative that merge these three approaches, with a focus on environmental regeneration. This thesis aims to contribute in this direction, proposing a procedure to design supply networks that regenerate the environment as it simultaneously fulfil its function. This procedure is approached as an artefact, and Design Science Research Methodology (DSRM) is used for its development. The scientific progress of Sustainable Design (SD) in the context of Operations Management (OM) is mapped through a holistic literature review, based in the ProKnow-C - a methodology to perform bibliometrics and systemic analysis. The Regenerative Supply Network is characterised through the concepts of transdisciplinarity, eco-effectiveness, eco-efficiency and resilience. A definition for the RSND process is proposed, and the RSND procedure is designed, consisting of four stages: (i) description of the network surroundings and identification of a regenerative purpose; (ii) redesign of outputs, inputs and transformation processes; (iii) system conceptualisation, where interactions are depicted using the SocioTechnical and the Socio-Ecological System views, and resilience principles are addressed. (iv), the network environmental and economic performance are optimised, and resilience is quantitatively checked using the Ecosystem Network Analysis. The activities of Demonstration and Evaluation are described in Chapter Four, where the RSND procedure is used to design a household waste management network which regenerates the environment. The regenerative purpose was identified after scrutiny of the Norte Pioneiro region. Twenty-three sites degraded from improper waste disposal were identified; the primary purpose of the waste management network is to regenerate these sites into solar farms, recreational parks or reforested areas. Inputs are identified and outputs are redefined, according to waste recovery options of recyclables sorting, aerobic composting, anaerobic digestion and gasification. Two models were developed: first, a system dynamics model to forecast waste generation, disposal and collection for a 21-year period (2018-2038). Second, a Multi-Scenario, Multi-Period, Multi-Objective, Mixed Integer Linear Programming (MS-MP-MO-MILP) model was developed to solve the capacitated facility location-allocation problem, producing network configurations through two optimisation strategies: maximisation of profit and maximisation of net greenhouse gas (GHG) savings. Economic, environmental and social performance of the solutions obtained for each of the four scenarios are presented and discussed. The main contribution of this research is to show the potential of supply networks to contribute with the regeneration of ecosystems inthe long term, with a sustainable performance in the three dimensions. Limitations and future research are also presented.
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spelling Projeto de redes de fornecimento regenerativasDesign of regenerative supply networksResiliência (Ecologia)Programação linearArquitetura sustentávelLogísticaSustentabilidade e meio ambienteGestão integrada de resíduos sólidosPesquisa transdisciplinarModelos matemáticosEngenharia mecânicaResilience (Ecology)Sustainable architectureLinear programmingLogisticsSustainability and the environmentIntegrated solid waste mangementTransdisciplinary researchMathematical modelsMechanical engineeringCNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAOEngenharia MecânicaThe strategy of environmental impact minimisation has not been effective enough to revert the damage caused to the environment by production systems; a shift is needed towards promoting environmental benefits. These production systems must also cope with disturbances, while ensuring that their function is fulfilled - a capability known as Resilience - to deploy environmental benefits in the long term. Initiatives in the field of Supply Network Design - a specific type of production system - have focused on improving eco-efficiency, proposing eco-effective networks, or enhancing their Resilience. However, it could not be found in the literature any initiative that merge these three approaches, with a focus on environmental regeneration. This thesis aims to contribute in this direction, proposing a procedure to design supply networks that regenerate the environment as it simultaneously fulfil its function. This procedure is approached as an artefact, and Design Science Research Methodology (DSRM) is used for its development. The scientific progress of Sustainable Design (SD) in the context of Operations Management (OM) is mapped through a holistic literature review, based in the ProKnow-C - a methodology to perform bibliometrics and systemic analysis. The Regenerative Supply Network is characterised through the concepts of transdisciplinarity, eco-effectiveness, eco-efficiency and resilience. A definition for the RSND process is proposed, and the RSND procedure is designed, consisting of four stages: (i) description of the network surroundings and identification of a regenerative purpose; (ii) redesign of outputs, inputs and transformation processes; (iii) system conceptualisation, where interactions are depicted using the SocioTechnical and the Socio-Ecological System views, and resilience principles are addressed. (iv), the network environmental and economic performance are optimised, and resilience is quantitatively checked using the Ecosystem Network Analysis. The activities of Demonstration and Evaluation are described in Chapter Four, where the RSND procedure is used to design a household waste management network which regenerates the environment. The regenerative purpose was identified after scrutiny of the Norte Pioneiro region. Twenty-three sites degraded from improper waste disposal were identified; the primary purpose of the waste management network is to regenerate these sites into solar farms, recreational parks or reforested areas. Inputs are identified and outputs are redefined, according to waste recovery options of recyclables sorting, aerobic composting, anaerobic digestion and gasification. Two models were developed: first, a system dynamics model to forecast waste generation, disposal and collection for a 21-year period (2018-2038). Second, a Multi-Scenario, Multi-Period, Multi-Objective, Mixed Integer Linear Programming (MS-MP-MO-MILP) model was developed to solve the capacitated facility location-allocation problem, producing network configurations through two optimisation strategies: maximisation of profit and maximisation of net greenhouse gas (GHG) savings. Economic, environmental and social performance of the solutions obtained for each of the four scenarios are presented and discussed. The main contribution of this research is to show the potential of supply networks to contribute with the regeneration of ecosystems inthe long term, with a sustainable performance in the three dimensions. Limitations and future research are also presented.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)A estratégia de minimização de impactos ambientais não tem sido efetiva suficiente para reverter os danos causados ao meio ambiente por sistemas de produção. É necessário ir além, maximizando os benefícios e engajando-se ativamente na regeneração de ecossistemas degradados. Estes sistemas de produção também devem ser capazes de se adaptar a distúrbios, garantindo o cumprimento da sua função - habilidade denominada de Resiliência - e a manutenção destes benefícios ambientais no longo prazo. Iniciativas voltadas para o projeto de redes de fornecimento - um tipo específico de sistemas de produção - tem focado em melhorar sua eco eficiência, propor definições mais eco-efetivas para estas redes, ou melhorar sua Resiliência. No entanto, nenhuma iniciativa que conjugue estas três abordagens, com enfoque em regeneração ambiental, pode ser encontrada na literatura. Esta tese tem como objetivo contribuir nesta direção, propondo um procedimento para a realização de projeto de redes de fornecimento que promovam a regeneração do meio ambiente enquanto cumprem sua função operacional. Este procedimento foi elaborado utilizando a metodologia de Design Science Research (DSRM). O progresso científico do Projeto Sustentável no contexto da Gestão de Operações foi mapeado em uma revisão de literatura realizada utilizando-se a metodologia ProKnow-C. A Rede de Fornecimento Regenerativa é caracterizada, e o processo de Projeto de Redes de Fornecimento Regenerativas (PRFR) é definido a partir dos conceitos de Redes de Fornecimento Sustentáveis, Projeto de Cadeias de Fornecimento, Abordagem Sistêmica e Projeto Regenerativo. O procedimento PRFR é definido em quatro etapas: (i) descrever os entornos da rede e identificar um propósito regenerativo; (ii) reprojetar as saídas, entradas e processos de transformação; (iii) executar o projeto conceitual do sistema, onde as interações são decompostas, e princípios de resiliência são adotados. No quarto estágio, o desempenho da rede é otimizado, e a resiliência é quantificada e verificada por meio do Ecosystem Network Analysis. O procedimento PRFR é utilizado para projetar uma rede de gestão de resíduos domésticos, cuja função de dar disposição aos resíduos é cumprida, enquanto o meio ambiente é regenerado. O propósito de regeneração é identificado após escrutínio da região do Norte Pioneiro, Paraná. Vinte e três áreas degradadas por descarte inadequado de resíduos foram identificadas; o propósito regenerativo da rede é recuperar estas áreas. Entradas são identificadas e saídas redefinidas, de acordo com os processos de recuperação: seleção, compostagem aeróbica, digestão anaeróbica e gaseificação. Um modelo de sistema dinâmico que prevê o volume de resíduos gerados, descartados e coletados para um período de vinte e um anos (2018-2038) e um modelo de programação linear multi-cenário, multi-período, multiobjetivo, inteira mista (MC-MP-MO-PLIM) foram desenvolvidos, produzindo configurações para a rede por meio da maximização do lucro e da economia líquida na emissão de gases de efeito estufa. Os desempenhos econômico, ambiental e social das soluções obtidas para os quatro cenários são apresentados e discutidos. A principal contribuição desta pesquisa é demonstrar o potencial que redes de fornecimento possuem de regenerar ecossistemas no longoprazo, apresentando um desempenho sustentável nas dimensões econômica, ambiental e social. Limitações e pesquisas futuras também são apresentadas.Universidade Tecnológica Federal do ParanáCuritibaBrasilPrograma de Pós-Graduação em Engenharia Mecânica e de MateriaisUTFPRBorsato, Miltonhttp://lattes.cnpq.br/9039613643111474Bloemhof-Ruwaard, JacquelineBorsato, MiltonKaick, Tamara Simone vanCasagrande Junior, Eloy FassiKanellopoulos, ArgyrisOmetto, Aldo RobertoSouza, Vitor Miranda de2019-07-17T13:49:38Z2019-07-17T13:49:38Z2019-02-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfSOUZA, Vitor Miranda de. Projeto de redes de fornecimento regenerativas. 2019. 198 f. Tese (Doutorado em Engenharia Mecânica e de Materiais) - Universidade Tecnológica Federal do Paraná, Curitiba, 2019.http://repositorio.utfpr.edu.br/jspui/handle/1/4168enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))instname:Universidade Tecnológica Federal do Paraná (UTFPR)instacron:UTFPR2019-07-18T06:00:57Zoai:repositorio.utfpr.edu.br:1/4168Repositório InstitucionalPUBhttp://repositorio.utfpr.edu.br:8080/oai/requestriut@utfpr.edu.br || sibi@utfpr.edu.bropendoar:2019-07-18T06:00:57Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT)) - Universidade Tecnológica Federal do Paraná (UTFPR)false
dc.title.none.fl_str_mv Projeto de redes de fornecimento regenerativas
Design of regenerative supply networks
title Projeto de redes de fornecimento regenerativas
spellingShingle Projeto de redes de fornecimento regenerativas
Souza, Vitor Miranda de
Resiliência (Ecologia)
Programação linear
Arquitetura sustentável
Logística
Sustentabilidade e meio ambiente
Gestão integrada de resíduos sólidos
Pesquisa transdisciplinar
Modelos matemáticos
Engenharia mecânica
Resilience (Ecology)
Sustainable architecture
Linear programming
Logistics
Sustainability and the environment
Integrated solid waste mangement
Transdisciplinary research
Mathematical models
Mechanical engineering
CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAO
Engenharia Mecânica
title_short Projeto de redes de fornecimento regenerativas
title_full Projeto de redes de fornecimento regenerativas
title_fullStr Projeto de redes de fornecimento regenerativas
title_full_unstemmed Projeto de redes de fornecimento regenerativas
title_sort Projeto de redes de fornecimento regenerativas
author Souza, Vitor Miranda de
author_facet Souza, Vitor Miranda de
author_role author
dc.contributor.none.fl_str_mv Borsato, Milton
http://lattes.cnpq.br/9039613643111474
Bloemhof-Ruwaard, Jacqueline
Borsato, Milton
Kaick, Tamara Simone van
Casagrande Junior, Eloy Fassi
Kanellopoulos, Argyris
Ometto, Aldo Roberto
dc.contributor.author.fl_str_mv Souza, Vitor Miranda de
dc.subject.por.fl_str_mv Resiliência (Ecologia)
Programação linear
Arquitetura sustentável
Logística
Sustentabilidade e meio ambiente
Gestão integrada de resíduos sólidos
Pesquisa transdisciplinar
Modelos matemáticos
Engenharia mecânica
Resilience (Ecology)
Sustainable architecture
Linear programming
Logistics
Sustainability and the environment
Integrated solid waste mangement
Transdisciplinary research
Mathematical models
Mechanical engineering
CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAO
Engenharia Mecânica
topic Resiliência (Ecologia)
Programação linear
Arquitetura sustentável
Logística
Sustentabilidade e meio ambiente
Gestão integrada de resíduos sólidos
Pesquisa transdisciplinar
Modelos matemáticos
Engenharia mecânica
Resilience (Ecology)
Sustainable architecture
Linear programming
Logistics
Sustainability and the environment
Integrated solid waste mangement
Transdisciplinary research
Mathematical models
Mechanical engineering
CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAO
Engenharia Mecânica
description The strategy of environmental impact minimisation has not been effective enough to revert the damage caused to the environment by production systems; a shift is needed towards promoting environmental benefits. These production systems must also cope with disturbances, while ensuring that their function is fulfilled - a capability known as Resilience - to deploy environmental benefits in the long term. Initiatives in the field of Supply Network Design - a specific type of production system - have focused on improving eco-efficiency, proposing eco-effective networks, or enhancing their Resilience. However, it could not be found in the literature any initiative that merge these three approaches, with a focus on environmental regeneration. This thesis aims to contribute in this direction, proposing a procedure to design supply networks that regenerate the environment as it simultaneously fulfil its function. This procedure is approached as an artefact, and Design Science Research Methodology (DSRM) is used for its development. The scientific progress of Sustainable Design (SD) in the context of Operations Management (OM) is mapped through a holistic literature review, based in the ProKnow-C - a methodology to perform bibliometrics and systemic analysis. The Regenerative Supply Network is characterised through the concepts of transdisciplinarity, eco-effectiveness, eco-efficiency and resilience. A definition for the RSND process is proposed, and the RSND procedure is designed, consisting of four stages: (i) description of the network surroundings and identification of a regenerative purpose; (ii) redesign of outputs, inputs and transformation processes; (iii) system conceptualisation, where interactions are depicted using the SocioTechnical and the Socio-Ecological System views, and resilience principles are addressed. (iv), the network environmental and economic performance are optimised, and resilience is quantitatively checked using the Ecosystem Network Analysis. The activities of Demonstration and Evaluation are described in Chapter Four, where the RSND procedure is used to design a household waste management network which regenerates the environment. The regenerative purpose was identified after scrutiny of the Norte Pioneiro region. Twenty-three sites degraded from improper waste disposal were identified; the primary purpose of the waste management network is to regenerate these sites into solar farms, recreational parks or reforested areas. Inputs are identified and outputs are redefined, according to waste recovery options of recyclables sorting, aerobic composting, anaerobic digestion and gasification. Two models were developed: first, a system dynamics model to forecast waste generation, disposal and collection for a 21-year period (2018-2038). Second, a Multi-Scenario, Multi-Period, Multi-Objective, Mixed Integer Linear Programming (MS-MP-MO-MILP) model was developed to solve the capacitated facility location-allocation problem, producing network configurations through two optimisation strategies: maximisation of profit and maximisation of net greenhouse gas (GHG) savings. Economic, environmental and social performance of the solutions obtained for each of the four scenarios are presented and discussed. The main contribution of this research is to show the potential of supply networks to contribute with the regeneration of ecosystems inthe long term, with a sustainable performance in the three dimensions. Limitations and future research are also presented.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-17T13:49:38Z
2019-07-17T13:49:38Z
2019-02-20
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv SOUZA, Vitor Miranda de. Projeto de redes de fornecimento regenerativas. 2019. 198 f. Tese (Doutorado em Engenharia Mecânica e de Materiais) - Universidade Tecnológica Federal do Paraná, Curitiba, 2019.
http://repositorio.utfpr.edu.br/jspui/handle/1/4168
identifier_str_mv SOUZA, Vitor Miranda de. Projeto de redes de fornecimento regenerativas. 2019. 198 f. Tese (Doutorado em Engenharia Mecânica e de Materiais) - Universidade Tecnológica Federal do Paraná, Curitiba, 2019.
url http://repositorio.utfpr.edu.br/jspui/handle/1/4168
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Tecnológica Federal do Paraná
Curitiba
Brasil
Programa de Pós-Graduação em Engenharia Mecânica e de Materiais
UTFPR
publisher.none.fl_str_mv Universidade Tecnológica Federal do Paraná
Curitiba
Brasil
Programa de Pós-Graduação em Engenharia Mecânica e de Materiais
UTFPR
dc.source.none.fl_str_mv reponame:Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
instname:Universidade Tecnológica Federal do Paraná (UTFPR)
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institution UTFPR
reponame_str Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
collection Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
repository.name.fl_str_mv Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT)) - Universidade Tecnológica Federal do Paraná (UTFPR)
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