A New Nonlinear Optimization Model for Grate Cooler Fans Selective Maintenance Problem in Cement Industries Considering with Random and Economic Dependence

Abstract In this paper, a new nonlinear optimization model for multi-state multi-components systems considering with random and economic dependence is presented for Grate Cooler Fans maintenance problem in Cement industries. The objective function minimizes failure unreliability in future missions subject to cost and time constraints. Actually, the applied constraints caused operation time of carrying out maintenance can be extended to the predetermined time in return to pay its penalty. In the proposed model, economic dependence with the positive effect of simultaneous maintenance executions start time in different components is investigated. Furthermore, grate cooler fans performance is considered under the impression of effects of propagated failures with global effect and failure isolation phenomena that the occurrence probability of propagated failures with global effect on both of the drive and dependent components is discussed. Also, existing more than one drive components based on technical structures of grate cooler fans is possible. The computational results are presented on a real-world case study. Furthermore, sensitivity analyses on the main parameters of the problem are performed to derive some managerial insights that can help corresponding decision makers provide suitable and homogeneous maintenance services in the case study environment.