Startseite Wirtschaftswissenschaften A Multi-objective Approach for Supply Chain Network Design: Tilapia Pisciculture in Paraná State - Brazil
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A Multi-objective Approach for Supply Chain Network Design: Tilapia Pisciculture in Paraná State - Brazil

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Veröffentlicht/Copyright: 26. Juni 2018

Abstract

Nowadays, efficient supply chain network design is a major issue, which becomes a greater challenge with the need to consider environmental and social concerns in decisions, besides economic issues. This paper develops a supply chain planning model based on a multi-objective framework that considers economic, social and environmental issues. The model is applied to the tilapia pisciculture supply chain in Brazil. A pay-off matrix is derived and an approximation of the Pareto frontier is built using the augmented ε-constraint method. Several non-dominated solutions are generated and analyzed in order to propose the preferable scenarios of supply chain network design.

JEL Classification: C61; Q13; R58

Funding statement: This work was supported Foundation for Science and Technology (grant UID/ECO/04007/2013) and FEDER/COMPETE (POCI-01-0145-FEDER-007659).

Acknowledgements

The authors are pleased to acknowledge financial support from National Council for Scientific and Technological Development (CNPq/CAPES).

The authors are pleased to acknowledge financial support from Foundation for Science and Technology (grant UID/ECO/04007/2013) and FEDER/COMPETE (POCI-01-0145-FEDER-007659).The authors are pleased to acknowledge the help in collecting data from Antônio Carlos Chidichima, Grupo de Estudos de Manejo na Aquicultura, GEMAQ-UNIOESTE, Universidade Estadual do Oeste do Paraná, Toledo.

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A Annex: Procedure to Generate the Pay-Off Matrix

maxze1=fex,y s.t. constraints (2)-(14)

maxzω1=fωx,y s.t. constraints (2)-(14) and fex,y=ze1

maxzε1=fεx,y s.t. constraints (2)-(14) and fex,y=ze1 and fωx,y=zω1

Resulting in the non-dominated solution ze1,zω1,zε1

maxzω2=fωx,y s.t. constraints (2)-(14)

maxze2=fex,y s.t. constraints (2)-(14) and fωx,y=zω2

maxzε2=fεx,y s.t. constraints (2)-(14) and fωx,y=zω2 and fex,y=ze2

Resulting in the non-dominated solution ze2,zω2,zε2

maxzε3=fεx,y s.t. constraints (2)-(14)

maxze3=fex,y s.t. constraints (2)-(14) and fεx,y=zε3

maxzω3=fωx,y s.t. constraints (2)-(14) and fεx,y=zε3 and fex,y=ze3

Resulting in the non-dominated solution ze3,zω3,zε3

Published Online: 2018-06-26

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