Design and Planning of Agri-Food Supply Chains

L. Cruz, J.Pires-Ribeiro, A.P. Barbosa-PĆ³voa
ABSTRACT:

This paper develops a mixed-integer linear programming (MILP) formulation to support the design and planning of agri-food supply chains (AFSC). The model focuses on the strategic-tactical decisions of capacity definition, selection of processing technologies, and the establishment of product flows to achieve expected net present value (ENPV) maximisation. Within the model, AFSC-specific characteristics are modelled as is the case of product perishability, flexible storage strategies, and reverse logistics operations. Supply and demand uncertainty is considered using a stochastic scenarios tree. The model is tested via the application of a case study from an existing sugar beet processing supply chain in The Netherlands.

Publisher
Computer Aided Chemical Engineering (Published)
Date
Jul, 2019
Keywords
agri-food supply chain | perishability | reverse logistics | uncertainty

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