OPTIMIZING U-SHAPED MIXED ASSEMBLY LINES WITH A META- HEURISTIC GRASSHOPPER OPTIMIZATION ALGORITHM

Failure to achieve a balanced production system means not fully utilizing the capabilities of the production system, and because of the high cost of production systems, balancing these systems is one of the most important concerns of production managers. Is. For this reason, this study aimed to balance the complex assembly lines in order to reduce the cost of manpower and reduce the number of workstations. There are two general approaches to problem solving, To evaluate the problem under different conditions two problems of medium and large size are solved. First, an intermediate problem is solved by the exact method through the Gaussian software (GAMS) and the Salon Baron (BARON). Then again the intermediate problem is solved with the grasshopper meta-algorithm and their results are compared with the precise method and by this the accuracy and accuracy of the meta-metric method is measured so that it can be used to solve the large size problem. Finally, the values equal to the Grasshopper Algorithm Target Function and the Gaussian Target Function software show that the algorithm performs well, resulting in a large problem solved by the Grasshopper Metabolic Algorithm, resulting in cost savings and reduced workstations.