The fuzzy multi-objective optimisation model for a green supply chain under uncertainty
by M.B. Fakhrzad; Shakiba Bazeli
International Journal of Value Chain Management (IJVCM), Vol. 9, No. 4, 2018

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.

Online publication date: Tue, 02-Oct-2018

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