A Multi-objective optimization model for minimizing cost, travel time and CO2 emission in an AS/RS

Abstract

A multi-objective optimization of automated warehouses is discussed andevaluated in the present paper. Since most of the researchers in materialhandling community had performed optimization of decision variables withsingle objective function only (usually named with minimum travel time,maximum throughput capacity, minimum cost, maximum energy efficiency,etc.), the multi-objective optimization (cost - travel time - CO2 emission/energy efficiency) will be presented. For the optimization of decisionvariables in objective functions, the method with genetic algorithms wasused. To find the Pareto optimal solutions, the NSGA II genetic algorithmwas used. The main objective of our contribution is to determine theperformance of the system according to the multi-objective optimizationtechnique. The results of the proposed model could be useful tool for thewarehouse designer in the early stage of warehouse design.