The Cellular Manufacturing System
ABSTRACT
The Cellular Manufacturing System is one of the most critical applications of genetic algorithm in production. CMS is used to divide the manufacturing facility into small cells in which the similar parts and its associated machines are grouped to form a manufacturing cell. The identification of part family and its associated machine cells are called Cell Formation. In the first stage of the research work, to formulated and explained utilizing hybrid Dragonfly and fruit fly algorithm. Computational examinations were performed with 20 benchmark problem sets taken from the existing literature. Results showed that the performances of the proposed heuristic as far as hybrid modelling are either superior or aggressive with the outstanding current algorithms. The computational times are enormously diminished contrasting with the state-of-art approaches. Simulation results exhibited that our proposal is a capable model and demonstrate the effectiveness of our execution. In the second stage of the research work, to the minimization of exceptional elements in the sheet metal industry, where exceptional elements are the machines and parts that are excluded from the suggested two or three cells. In this study, the machine parts incidence matrix is given as input for GA to minimize the total number of exceptional elements to evaluate the effectiveness of the CF. The proposed GA is coded in C++ language on a personal computer with core Duo, the 2GHZ processor. In the third stage of the research work, to give an overview of the Back Propagation Network (BPN) based approaches to form the machine cells and component grouping for minimizing the exceptional elements and bottleneck machines. This method is applied to the known benchmark problems found in literature, and it is found to be equal or best when compared to in terms of minimizing the number of exceptional elements.