Otimização multiobjetivo e delineamento de experimentos aplicados ao processo de distribuição de ativos ortopédicos
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Data
2022-09-20
Autores
Figueiredo, Marcelo Vilela
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Editor
Universidade Estadual Paulista (Unesp)
Resumo
Alocação de recursos é um importante meio para se garantir uma boa produtividade ao negócio. Neste contexto, no ramo da medicina, em específico, para ferramentais cirúrgicos ortopédicos (FCs), tem-se um cenário relativamente complexo, que ocasiona cancelamentos e postergações de cirurgias por falta de FCs. Em virtude dos fatos citados, a presente tese foi desenvolvida, em uma empresa multinacional de grande porte, a qual atua na venda de próteses ortopédicas e empréstimos de sistemas cirúrgicos (SCs), que são compostos por FCs, para a realização das cirurgias. Trata-se de desenvolvimento de uma ferramenta de auxílio à tomada de decisão, para alocar FCs em centros de distribuição (CDs), de forma a otimizar os objetivos de atendimento de demanda e geração de receita, que são conflitantes em algumas situações. Foi desenvolvido um modelo de Programação Matemática, para se determinar a demanda mensal de cirurgias a serem atendidas em cada CD, que culminam na alocação de FCs necessários para os atendimentos. Foi aplicada a metodologia Programação por Metas Ponderada (WGP), para modelar a função multiobjetivo, de forma a trabalhar com diferentes combinações de pesos dos objetivos, sendo os pesos definidos por meio da metodologia de Delineamento de Experimentos Taguchi, e avaliar os impactos nos resultados. Os resultados obtidos foram aderentes à realidade da empresa, culminando em maior eficiência e eficácia ao processo de alocação de FCs. A pesquisa se comprovou de grande valor à área de saúde, podendo ser replicada em demais empresas do ramo médico, de forma a garantir que os devidos recursos estejam disponíveis para que vidas sejam salvas.
Resource allocation is an important way to ensure good business productivity. In this context, in the field of healthcare, specifically for orthopedic surgical tools (STs), there is a relatively complex scenario, which causes cancellations and postponements of surgeries due to lack of STs. Due to the aforementioned facts, this thesis was developed in a large multinational company, which operates in the sale of orthopedic prostheses and loans of surgical systems (SSs), which are composed of STs, to perform surgeries. It involves the development of a decision-making aid tool to allocate STs in distribution centers (DCs), in order to optimize the objectives of demand attendance and generating revenue, which are conflicting in some situations. A Mathematical Programming model was developed to determine the monthly demand for surgeries to be attended at each DC, which culminate in the allocation of STs necessary for the attendances. The Weighted Goal Programming (WGP) methodology was applied to model the multi-objective function, in order to work with different combinations of objective weights, the weights being defined through the Taguchi Experiment Design methodology, to evaluate the impacts on the results. The results obtained were in line with the company's reality, culminating in greater efficiency and effectiveness in the STs allocation process. The research proved to be of great value to the health area and can be replicated in other companies in the healthcare field, in order to ensure that the appropriate resources are available so that lives can be saved
Resource allocation is an important way to ensure good business productivity. In this context, in the field of healthcare, specifically for orthopedic surgical tools (STs), there is a relatively complex scenario, which causes cancellations and postponements of surgeries due to lack of STs. Due to the aforementioned facts, this thesis was developed in a large multinational company, which operates in the sale of orthopedic prostheses and loans of surgical systems (SSs), which are composed of STs, to perform surgeries. It involves the development of a decision-making aid tool to allocate STs in distribution centers (DCs), in order to optimize the objectives of demand attendance and generating revenue, which are conflicting in some situations. A Mathematical Programming model was developed to determine the monthly demand for surgeries to be attended at each DC, which culminate in the allocation of STs necessary for the attendances. The Weighted Goal Programming (WGP) methodology was applied to model the multi-objective function, in order to work with different combinations of objective weights, the weights being defined through the Taguchi Experiment Design methodology, to evaluate the impacts on the results. The results obtained were in line with the company's reality, culminating in greater efficiency and effectiveness in the STs allocation process. The research proved to be of great value to the health area and can be replicated in other companies in the healthcare field, in order to ensure that the appropriate resources are available so that lives can be saved
Descrição
Palavras-chave
Ferramentais cirúrgicos ortopédicos, Alocação de recursos, Disponibilidade de ativos, Programação por Metas Ponderada, Arranjo de Taguchi, Orthopedic surgical tools, Resource allocation, Asset availability, Weighted Goal Programming, Taguchi arrangement, Processo decisório, Taguchi, Métodos (Controle de qualidade)