Impact of the inclusion of variable CO2 cost in the distribution network design
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Tipo de produção
Artigo
Data
2019-09-23
Autores
Rodrigo de Castro Barros
Mauro Sampaio
CORREA, JOBEL SANTOS
Mauro Sampaio
CORREA, JOBEL SANTOS
Orientador
Periódico
PRODUCTION (ABEPRO)
Título da Revista
ISSN da Revista
Título de Volume
Citação
BARROS, R. DE C.; SAMPAIO, M. ; CORREA, J. S. Impact of the inclusion of variable CO2 cost in the distribution network design. PRODUCTION (ABEPRO), v. 29, n. 3, p. 1-14, 2019.
Texto completo (DOI)
Palavras-chave
distribution network design,eco-efficient distribution network,optimization,strategic decisions,CO2 cost
Resumo
Paper aims
This study aims to evaluate the economic-financial impact that the inclusion of environmental variable CO2 cost attributed to transportation (fuel consumption) and manufacturing activities (electricity consumption) represents in a distribution network optimization design.
Originality
This is the first work carried out in Brazil to present a feasible eco-efficient distribution network in the technical and economic aspects considering the tax aspects of ICMS. In addition, this work addresses the inclusion of CO2 as a cost associated with transportation and manufacturing activities. Finally, for the first time in literature, a reference framework that considers environmental variables is presented.
Research method
This study used the systematic literature review method to review the referential framework and carried out a cost reduction using specialist optimization software.
Main findings
The technical and economical feasibility in achieving reduction of both total logistic and CO2 costs in a distribution network design in Brazil and the inexistence of trade-offs without technical solution to the eco-efficient configuration of the distribution network.
Implications for theory and practice
The results of this paper presents a relevant contribution to logistics professionals and researchers, as it was able to present a framework and demonstrated the feasibility of an eco-efficient network design.