M. A. GARIN MARTIN, M. A. GARIN MARTIN, L. F. Escudero, A. Unzueta
Distributionally Robust Optimization is considered to deal with the different uncertainties in the Cross-dock Door Design Problem (CDDP) that consists of deciding the strip and stack doors and nominal capacity of the cross-dock infrastructure. A two-stage mixed binary quadratic model is presented for CDDP solving; the first stage decisions are related to the design of the cross-dock infrastructure; the second stage ones are related to the assignment of the commodity flows to the doors in a finite set of scenarios for the ambiguity set members. The goal is to minimize the total highest cost in the ambiguity set, subject to the constraint system for each of those members and the stochastic dominance risk averse functional. Given the problem solving difficulty, a matheuristic is proposed for obtaining lower and upper bounds, respectively. A computational study validates the proposal; the approach overperformances the straightforward use of the solvers Cplex and Gurobi.
Keywords: uncertainty, combinatorial optimization, logistics
Scheduled
Location (GELOCA3)
June 13, 2025 9:00 AM
Sala 3. Maria Rúbies Garrofé