LOGISTICS MANAGEMENT FOR SUPPLIER EVALUATION IN AN INDUSTRY USING ARTIFICIAL INTELLIGENCE (FUZZY LOGIC) FOR DECISION MAKING
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Tipo do ITEM
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Artigo Ciêntifico
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Título do Artigo
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LOGISTICS MANAGEMENT FOR SUPPLIER EVALUATION IN AN INDUSTRY USING ARTIFICIAL INTELLIGENCE (FUZZY LOGIC) FOR DECISION MAKING
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Descrição
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Today's quality is an indispensable requirement when it comes to the production of products or services, because with the highly competitive market, a simple factor that does not please the consumer, can be crucial to generate negative points in business operations. With this, the research carried out in a watch factory X, served to analyze the factors that contribute to the performance and analysis of an international supplier in the year 2019 and 2020, and to reach this objective it was necessary to raise the rejected parts indicators in the process of inspection of receiving process and assembly, as well as the rejection replacement service deadline process in order to evaluate the supplier's performance. The need to carry out this analysis, arose through the experience of one of the members of the group, who works at the company, therefore, this article may contribute to maximize the managers' decision making regarding the approval or disqualification of suppliers to produce watches. A quantitative approach, aiming to measure the variables, the procedure for data collection was through excel spreadsheet documents compiled from the SAP program. At the end of this research, improvement actions were suggested for the company according to the application of the supplier evaluation by the fuzzy logic method. The results achieved in this article, aim to work on the evaluation method and thus try to reduce the losses that generate losses with the process of waiting for information to be collected for decision making.
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Abstract
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Today's quality is an indispensable requirement when it comes to the production of products or services, because with the highly competitive market, a simple factor that does not please the consumer, can be crucial to generate negative points in business operations. With this, the research carried out in a watch factory X, served to analyze the factors that contribute to the performance and analysis of an international supplier in the year 2019 and 2020, and to reach this objective it was necessary to raise the rejected parts indicators in the process of inspection of receiving process and assembly, as well as the rejection replacement service deadline process in order to evaluate the supplier's performance. The need to carry out this analysis, arose through the experience of one of the members of the group, who works at the company, therefore, this article may contribute to maximize the managers' decision making regarding the approval or disqualification of suppliers to produce watches. A quantitative approach, aiming to measure the variables, the procedure for data collection was through excel spreadsheet documents compiled from the SAP program. At the end of this research, improvement actions were suggested for the company according to the application of the supplier evaluation by the fuzzy logic method. The results achieved in this article, aim to work on the evaluation method and thus try to reduce the losses that generate losses with the process of waiting for information to be collected for decision making.
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Língua do arquivo
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inglês
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Data da Publicação
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Ano 2020
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Palavra-chave
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Quality Management System
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Fuzzy Logic
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Statistical Data and Supply Chain
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Autores
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Ananda Desirée Rondon Fonseca Jana das Neves
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Jandecy Cabral Leite
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Milton Fonseca Júnior
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Local
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ITEGAM - Manaus, 2022
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Áreas de Conhecimento
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Otimização de Processos Industriais
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Turma
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Turma 1
