Capacities-based distant-water fishery cold chain network design considering yield uncertainty and demand dynamics

In distant-water fishing industry, production, supply and distribution activities are realized in a dynamic environment including uncertainties of resources in fishing grounds and demands from global markets. Moreover, the capacity of the port cold storage is of great importance to the cold chain network as most of catch is handled and temporarily stored at seaports. Here, a multi-product, three-echelon and multi-period network model is applied to a distant-water fishery cold chain design problem based on capacities. This network-design includes optimal cold storage facility locations and optimal flow amounts. And a two-stage stochastic programming method is used to handle the uncertainties.