In this research, we create and refine a computational model using Matlab software, focusing on the degradation characteristics of light-emitting devices. This work acknowledges the critical importance of burn-in procedures, quality control measures, and preventive maintenance policies in any organization. The burn-in phase serves as a fundamental step in recognizing faulty products by subjecting them to a predetermined testing period. Post the burn-in phase, a quality control system is employed, leading to the exclusion of sub-standard products. Concurrently, we establish a preventive maintenance strategy that aims at enhancing the product's performance over its lifespan. For the identification of the best choices concerning burn-in, quality control, and preventive maintenance, a cost-efficiency optimization model is formulated. The developed model is then used to assess the value of these policies, comparing original and optimal measurements using an optimization algorithm, all demonstrated through a practical case study.