In the past several decades, maintenance and replacement problems have been extensively studied in the literature. Thousands of maintenance and replacement models have been created. However, all these models can fall into some categories of maintenance policies: age replacement policy, block replacement policy, periodic preventive maintenance policy, failure limit policy, sequential preventive ...

Background Degenerative retinal diseases, including age related macular degeneration, glaucoma, and hereditary retinal dystrophies are major causes of blindness. The principal defect in these diseases is cell loss which is amenable to both cell based neuroprotective and neuroregenerative therapies. To briefly review the lines of research and potential candidates for cell based therapies among ...

 Background: Modern knee designs have popularized its use in younger patients due to its better performance. There remains uncertainty whether higher demands of these patients can affect implant survivorship.    Purpose: To assess whether modern knee designs have provided similar results in patients younger than 70 years versus older patients. Methods: We included 203 consecutive patients (236 ...

In this study, an adaptive Bayesian decision model is developed to determine the optimal replacement age for the systems maintained according to a general age replacement policy. It is assumed that when a failure occurs, it is either critical with probability p or non-critical with probability 1− p, independently. A maintenance policy is considered where the non-critical failures are corrected ...

In this chapter, an innovative model for age replacement is proposed. The costs included in the age replacement model are not assumed to be constants. For effective optimization of statistical decisions for age replacement problems under parametric uncertainty, based on a past random sample of lifetimes, the pivotal quantity averaging (PQA) approach is suggested. The PQA approach represents a s...