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Atualmente, o e-commerce tem um papel fundamental na sociedade. Apesar das vanta-
gens, tais como a diminuição da dimensão de filas em espaços físicos e a criação de postos de
trabalho em áreas digitais, foram identificados alguns desafios, sendo um deles a falta de qua-
lidade com que os artigos chegam aos clientes, tornando-se, por vezes, motivo para devolução.
Muitas empresas, tentam recuperar os artigos para que não haja uma perda total do valor.
Numa empresa de retalho eletrónico em Portugal existe uma unidade de recuperação
de artigos, onde os artigos são recuperados para ser revendidos. Por vezes, no entanto, o custo
de recuperação é demasiado elevado, tornando o produto não rentável.
Assim, neste estudo de caso avalia-se a viabilidade da implementação de uma segunda
embalagem (que embala o artigo com a embalagem original) para a redução de danos nos
artigos para evitar a sua devolução e, posterior, recuperação.
Para avaliar a viabilidade da implementação da segunda embalagem recorre-se à apli-
cação de métodos de análise estatística multivariada, nomeadamente análise fatorial e análise
de clusters para analisar os dados dos artigos que foram devolvidos à empresa.
Selecionaram-se determinados artigos, considerando-os mais suscetíveis a danos e de
grande importância para a empresa, que deviam ser embalados com a segunda embalagem.
Os artigos selecionados contam com características como custos de recuperação e taxas de
devoluções elevadas.
Depois de fazer uma análise dos dados verifica-se que é mais vantajoso aplicar uma
segunda embalagem do que reparar os artigos devolvidos.
Currently, e-commerce plays a fundamental role in society. Despite the advantages, such as the dimension reduction of queues in physical spaces and the creation of workstations in digital areas, some challenges have been identified, one of which is the lack of quality with which items reach customers, sometimes becoming a reason for return. Many companies try to recover the items so that there is no total loss of value. One e-retail company in Portugal has an item recovery unit, where items are recovered for resale. Sometimes, however, the cost of recovery is too high, making the product unprofit- able. Therefore, this case study assesses the feasibility of implementing a second package (which packs the item with the original packaging) to reduce damage to the items to prevent them from being returned and subsequently recovered. In order to assess the feasibility of implementing the second packaging, multivariate statistical analysis methods were used, namely factor analysis and cluster analysis to analyze the data from the articles that were returned to the company. Certain items were selected, considering them to be more susceptible to damage and of great importance to the company, which should be packed with the second package. The items selected have characteristics such as recovery costs and high return rates. After analyzing the data, it turns out that it is more advantageous to apply a second package than to repair the returned items.
Currently, e-commerce plays a fundamental role in society. Despite the advantages, such as the dimension reduction of queues in physical spaces and the creation of workstations in digital areas, some challenges have been identified, one of which is the lack of quality with which items reach customers, sometimes becoming a reason for return. Many companies try to recover the items so that there is no total loss of value. One e-retail company in Portugal has an item recovery unit, where items are recovered for resale. Sometimes, however, the cost of recovery is too high, making the product unprofit- able. Therefore, this case study assesses the feasibility of implementing a second package (which packs the item with the original packaging) to reduce damage to the items to prevent them from being returned and subsequently recovered. In order to assess the feasibility of implementing the second packaging, multivariate statistical analysis methods were used, namely factor analysis and cluster analysis to analyze the data from the articles that were returned to the company. Certain items were selected, considering them to be more susceptible to damage and of great importance to the company, which should be packed with the second package. The items selected have characteristics such as recovery costs and high return rates. After analyzing the data, it turns out that it is more advantageous to apply a second package than to repair the returned items.
Descrição
Palavras-chave
Retalho Logística Inversa Embalagens Reparação Estatística Multivariada
