Designing an incremental cellular manufacturing system by using a hybrid approach based on the genetic algorithm and particle swarm optimisation

摘要

In every manufacturing technology the worker has a very important role in the manufacturing unit. In this paper, incremental cellular manufacturing system is to be designed for job shop into a CMS comprehensively in single run. The nonlinear programming model in incremental environment presents the variety of machine and part type to worker. The proposed model is a hybrid of particle swarm optimisation (PSO) and genetic algorithm (GA) to get an optimal solution by considering incremental cellular manufacturing design. The main advantage of the proposed model is found much more efficient than the genetic algorithm and artificial neural networks to solve the present model using meta-heuristic method.