A New Nonlinear Multi-Objective Redundancy Allocation Model With the Choice of Redundancy Strategy Solved By Compromise Programming Approach

One of the primary concerns in any system design problem is to prepare a highly reliable system with minimum cost. one way to increase the reliability of systems is to use redundancy in different forms such as active or standby. in this paper, a new nonlinear multi- objective integer programming model with the choice of redundancy strategy and component type is developed where standby strategy is of cold type. in the proposed model, system's reliability is maximized along with minimizing system's cost and weight. the proposed model contributes to the literature by determining the redundancy strategies concurrently with determining redundancy levels and component types. the multi-objective model is solved using the mathematical compromise programming technique for different lp metrics and produces different pareto solutions.