A novel and efficient mathematical optimization model for multi-stage assembly flow shop considering post-processing

Autor(es)

da Silva Santana, Jose Renatho ; Fuchigami, Helio Yochihiro

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING; v. N/A, p. 13-pg., 2024-06-29.

Resumo

We addressed the multistage assembly flow shop problem with post-processing and makespan minimization, a production environment commonly encountered in diverse industries such as automotive, dental, medical equipment, and clothing manufacturing. In this context, we presented an innovative mixed-integer linear programming model with a position-based strategy. Our proposed formulation demonstrated remarkable efficiency when compared to the model of the literature. It achieved optimal solutions in 77.16% of instances, with an average optimality gap of 10.59%. This study constitutes a significant contribution to the efficient resolution of a practical and frequently encountered scheduling problem that has received relatively limited attention in existing literature. The findings highlight the crucial role of mathematical optimization models as valuable decision-making tools for scheduling within the addressed production system. [GRAPHICS] (AU)

• Processo FAPESP: 22/05803-3 - Problemas de corte, empacotamento, dimensionamento de lotes, programação da produção, roteamento e localização e suas integrações em contextos industriais e logísticos
• Beneficiário: Reinaldo Morabito Neto
• Modalidade de apoio: Auxílio à Pesquisa - Temático