Abstract
Manufacturers need to satisfy consumer demands in order to compete in the real world. This requires the efficient operation of a supply chain planning. In this work, we consider a supply chain including multiple suppliers, multiple manufacturers and multiple retailers, under uncertainty for perishable food products. These problems were formulated into a fuzzy multi-objective programming model (FMOPM) with an aim to minimise the total cost of transportation and labour, the amount of CO2 emissions in transportation and the distribution time of products from farms to factory and from factory to retailers, and minimise total food decay. To optimise the four objectives simultaneously LP-metrics method were investigated and used. A case study was examined based on the model that demonstrates its applicability in making an optimal product distribution plan in trade-offs among the four objectives.
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