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Esse artigo tem como objetivo avaliar o desempenho logístico de quatro elos da cadeia brasileira de suprimentos de refrigerantes (fornecedores de embalagem para refrigerantes, indústria de refrigerantes, atacado e supermercado), adotando como metodologia o survey eletrônico. As repostas foram analisadas utilizando-se os testes estatísticos Mann-Whitney e Kruskal-Wallis, além de uma análise descritiva dos dados e da realização dos testes de hipótese. As empresas avaliaram o desempenho logístico da cadeia, por meio de indicadores da logística interna e externa, e identificaram a percentagem de uso desses indicadores. A taxa média de respostas foi de 40%. A pesquisa mostrou que os elos da cadeia de refrigerantes utilizam mais os indicadores de desempenho, que avaliam a logística interna, do que os que avaliam a logística externa.

A demand classification scheme for spare part inventory model subject to stochastic demand and lead time AbstractIn this study, we aim to develop a demand classification methodology for classifying and controlling inventory spare parts subject to stochastic demand and lead time. Using real data, the developed models were tested and their performances were evaluated and compared. The results show that the Laplace model provided superior performance in terms of service level, fill rate and inventory cost. Compared with the current system based on normal distribution, the proposed Laplace model yielded significant savings and good results in terms of the service level and the fill rate. The Laplace and Gamma optimization models resulted in savings of 82% and 81%, respectively.

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