Analysis of the efficiency of production planning methods with simulation of flexible manufacturing systems

Abstract

The paper presents a simulation model of a flexible manufacturing system in which human resources play key roles. To effectively solve production planning problems, we propose a special search method that takes into account the real manufacturing capabilities of the people working in shifts, when the jobs are assigned to the shifts. We solve the problem with another approach. The essence of this method is to transform the production planning problem to the permutation optimization problem and solve it with the genetic algorithm of Plant Simulation. We compare these two methods using the simulation model of the studied flexible manufacturing system and present the running results.