Effect of Motivation & Learning Curve In Dynamic Cell Formation And The

The mathematical model presented in this paper considers dynamic simultaneously and also takes into account motivation, learning effect and rewards in cell formation problem’s human issues for the first time. In real world problems the available time of workers is not consta on different items therefore learning curve and motivation effects are noticed to indicate the real available workers time. The model consists of two parts. First part is machine handling cost, machine costs in the planning horizon and second part is human training cost, overtime cost, reward cost and salary. Finally a mathematical method and a hybrid solution approach based on simulated annealing (SA) and genetic algorithm (GA) is used in order to solve the problem. Numerical examples are presented to demonstrate the model and compare both solution