Otimização da gestão logística em biotecnologia: um modelo multiperíodo para transporte de Isotanques

Logistics management of isotank transport in a multinational biotechnology company presents significant challenges. The company, with operations in Brazil, uses precision fermentation with genetically modified yeasts to produce specific molecules. The transport of fermented extracts, which requires isotanks, must be optimized to minimize costs and improve the efficiency of the supply chain. This article presents a multiperiod optimization model to address these logistical challenges, using operational research techniques. The proposed model aims to optimize logistical operations and was validated with real data from the company's operations. The results show improvements in operational costs and supply chain responsiveness. The application of optimization models, adapted to the needs of biotechnology logistics, is highlighted, promoting improvements in logistical performance in similar industrial contexts.

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Publication Details

Journal
Brazilian Journal of Production Engineering
Published
2025-09-24
DOI
https://doi.org/10.47456/bjpe.v11i3.47969
Primary Topic
Cultural Insights and Digital Impacts
Type
article
Field-Weighted Citation Impact
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article

Otimização da gestão logística em biotecnologia: um modelo multiperíodo para transporte de Isotanques

Brazilian Journal of Production Engineering
Cultural Insights and Digital Impacts
article

Otimização da gestão logística em biotecnologia: um modelo multiperíodo para transporte de Isotanques

article en

Abstract

Logistics management of isotank transport in a multinational biotechnology company presents significant challenges. The company, with operations in Brazil, uses precision fermentation with genetically modified yeasts to produce specific molecules. The transport of fermented extracts, which requires isotanks, must be optimized to minimize costs and improve the efficiency of the supply chain. This article presents a multiperiod optimization model to address these logistical challenges, using operational research techniques. The proposed model aims to optimize logistical operations and was validated with real data from the company's operations. The results show improvements in operational costs and supply chain responsiveness. The application of optimization models, adapted to the needs of biotechnology logistics, is highlighted, promoting improvements in logistical performance in similar industrial contexts.

Brazilian Journal of Production EngineeringVol. 11(3)
Universidade Estadual de Maringá (BR), Universidade Tecnológica Federal do Paraná (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Cultural Insights and Digital Impacts
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