Multi-Criteria Optimization: A Satisfaction-Driven Supply Chain Optimization Approach

Supplier selection and order quantity decisions are fundamental elements of decisionmaking within the context of supply chain management. Although extensive research exists on how to improve these decisions individually, limited attention has been given to their interdependent nature. Specifically, order quantity decisions are influenced by the chosen supplier, and supplier selection should take into account operational requirements for fulfilling future orders. This paper proposes a novel framework that integrates multi-criteria decision-making techniques with robust optimization, allowing for a robust way to deal with the trade-offs inherent to the decision-making process. This was achieved by solving both problems simultaneously, with the aim of achieving a robust and optimal satisfaction-driven decision under decision-dependent uncertainty.

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Publication Details

Journal
Anais do Simpósio Brasileiro de Pesquisa Operacional
Published
2025-01-01
DOI
https://doi.org/10.59254/sbpo-2025-212541
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

Multi-Criteria Optimization: A Satisfaction-Driven Supply Chain Optimization Approach

Fernanda Baião, Renata Guizzardi, Mateus Peixoto
Anais do Simpósio Brasileiro de Pesquisa Operacional
Multi-Criteria Decision Making
article

Multi-Criteria Optimization: A Satisfaction-Driven Supply Chain Optimization Approach

Fernanda Baião, Renata Guizzardi, Mateus Peixoto
article en

Abstract

Supplier selection and order quantity decisions are fundamental elements of decisionmaking within the context of supply chain management. Although extensive research exists on how to improve these decisions individually, limited attention has been given to their interdependent nature. Specifically, order quantity decisions are influenced by the chosen supplier, and supplier selection should take into account operational requirements for fulfilling future orders. This paper proposes a novel framework that integrates multi-criteria decision-making techniques with robust optimization, allowing for a robust way to deal with the trade-offs inherent to the decision-making process. This was achieved by solving both problems simultaneously, with the aim of achieving a robust and optimal satisfaction-driven decision under decision-dependent uncertainty.

Anais do Simpósio Brasileiro de Pesquisa OperacionalVol. Vol 57, 2025
Pontifícia Universidade Católica do Rio de Janeiro (BR), University of Twente (NL)
Openalex Percentile: Top 63%
Multi-Criteria Decision Making
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