Simulation for Appropriate Mean Selection for Can's Approximation Method in Transportation Models

Classical transportation models aim to minimize the total costs of homogeneous goods transport from supply points demand points, taking into account unit costs. They constitute a special case network and employ technique based on linear programming. Suggested in 2015 one early distribution methods, Tuncay Can’s Approximation Method (TCAM) is geometric averages costs, although it stated theorem that other means than can be used. The this study compare model by solving problem using geometric, arithmetic, square, harmonic TCAM. coefficients were obtained randomly simulation, method was repeated according different appropriate determined.