A multi objective optimization of automated warehouses is discussed and evaluated in present paper. Since most of researchers in material handling community had performed optimization of decision variables with single objective function only (usually named with minimum travel time, maximum throughput capacity, minimum cost, etc.), the multi objective optimization (travel time – cost – quality) will be presented. For the optimization of decision variables in objective functions, the method with genetic algorithms is used. To find the Pareto optimal solutions, the NSGA II genetic algorithm was used. The main objective of our contribution is to determine the performance of the system according to the multi objective optimization technique. The results of the proposed model could be useful tool for the warehouse designer in the early stage of warehouse design.
Progress in Material Handling Research: 2012
Lerher, Tone; Borovinšek, Matej; Potrč, Iztok; and Šraml, Matjaž, "A Multi-objective Optimization Approach for Designing Automated Warehouses" (2012). 12th IMHRC Proceedings (Gardanne, France – 2012). 14.