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Authors
Abstract(s)
No âmbito da presente dissertação, foi desenvolvido um sistema de apoio à decisão com
o intuito de contribuir, não só, para a diminuição do desperdício alimentar na
comercialização de produtos hortícolas, no setor mais tradicional de distribuição
alimentar a retalho, mas também de promover a segurança e a qualidade dos hortícolas
comercializados.
À referida ferramenta computacional associam-se duas funções de maior: 1) a previsão
da vida de prateleira restante de um produto hortícola de entre os cinco estudados –
alface, batata, cebola, cenoura e couve repolho –, com base no seu estado de qualidade
microbiológica, ditado pelas condições a que é armazenado; 2) o cálculo do preço
dinâmico a praticar em cada dia, na venda do mesmo hortícola, em função da
aproximação ao fim do prazo de comercialização calculado, por forma a ditar uma maior
procura e escoamento desse produto junto do consumidor final.
Os tempos de vida útil restantes dos hortícolas estudados são determinados com recurso
à ferramenta de microbiologia preditiva ComBase Growth Model. Através desta
plataforma, são simulados e registados os intervalos de tempo restantes até que se
atinjam as doses infetantes das bactérias consideradas no estudo de cada um dos cinco
hortícolas abordados, em função dos seus fatores extrínsecos e intrínsecos – temperatura
de armazenamento, pH e atividade de água (traduzida, no modelo proposto, em 3
cenários de humidade relativa distintos). No momento em que é atingida a dose infetante
de alguma das bactérias consideradas, em particular, para o hortícola em questão, a
segurança alimentar deixa de ser garantida e, consequentemente, o alimento deixa de
poder ser comercializado. Já o modelo de precificação dinâmica proposto assume o
tempo de vida útil sobrante do hortícola analisado como o único critério considerado no
cálculo do preço de venda a praticar. Desta forma, o preço de venda apresenta, em cada
dia, um decréscimo constante, em função do número de dias de vida de prateleira
restantes.
Within the scope of this dissertation, a decision support system was developed in order to contribute, not only, to reduce food waste on traditional food retailers while selling horticultural products, but also to promote the safety and quality of marketed vegetables. This computational tool includes two major functions: 1) prediction of the remaining shelf life of a fresh vegetable, among the five ones studied – lettuce, potato, onion, carrot and cabbage –, based on its microbiological quality status, dictated by the respective storage conditions; 2) calculation of the dynamic price to be set each day, while selling that same vegetable, depending on the approach of the end of the calculated marketing period, in order to dictate a greater demand and sale of that product to the final consumer. The remaining shelf life of the studied fresh vegetables is determined by using a predictive microbiology tool – ComBase Growth Model. The time values until the infectious doses of the bacteria considered are reached, according to their extrinsic and intrinsic factors – storage temperature, pH and water activity (converted into 3 different relative humidity scenarios, in the proposed model) –, are simulated through the aforementioned platform and then recorded. At the moment when the infective dose of any of the bacteria considered in particular for that vegetable is reached, its safety is no longer guaranteed. Consequently, the product can no longer be sold. Concurrently, the proposed dynamic pricing model assumes the remaining shelf life of the analyzed vegetable as the only criterion considered in the calculation of the selling price to be set. Therefore, the selling price assumes, on each day, a constant decrease, depending on the remaining shelf life.
Within the scope of this dissertation, a decision support system was developed in order to contribute, not only, to reduce food waste on traditional food retailers while selling horticultural products, but also to promote the safety and quality of marketed vegetables. This computational tool includes two major functions: 1) prediction of the remaining shelf life of a fresh vegetable, among the five ones studied – lettuce, potato, onion, carrot and cabbage –, based on its microbiological quality status, dictated by the respective storage conditions; 2) calculation of the dynamic price to be set each day, while selling that same vegetable, depending on the approach of the end of the calculated marketing period, in order to dictate a greater demand and sale of that product to the final consumer. The remaining shelf life of the studied fresh vegetables is determined by using a predictive microbiology tool – ComBase Growth Model. The time values until the infectious doses of the bacteria considered are reached, according to their extrinsic and intrinsic factors – storage temperature, pH and water activity (converted into 3 different relative humidity scenarios, in the proposed model) –, are simulated through the aforementioned platform and then recorded. At the moment when the infective dose of any of the bacteria considered in particular for that vegetable is reached, its safety is no longer guaranteed. Consequently, the product can no longer be sold. Concurrently, the proposed dynamic pricing model assumes the remaining shelf life of the analyzed vegetable as the only criterion considered in the calculation of the selling price to be set. Therefore, the selling price assumes, on each day, a constant decrease, depending on the remaining shelf life.
Description
Keywords
Combase Desperdício Alimentar Hortícolas Microbiologia Preditiva Precificação Dinâmica Segurança Alimentar Sistema de Apoio à Decisão Vida de Prateleira