Integrated production and routing planning decisions under uncertainty: a case study

In this paper, a fuzzy mathematical programming model is proposed to address integrated production and routing planning decisions which considers uncertain production and inventory capacities, as well as production, setup, inventory holding and transport costs. This proposal considers flexible constraints and the lack of knowledge related to the previous input parameters which are modelled by using triangular fuzzy numbers. Results of computational experiments performed with data from a case study related to a real-world bakery firm confirm the efficiency of the proposed solution method in terms of total costs and CPU time with respect to a deterministic formulation.