Reliability Assessment and Profit Optimization of Multi-Unit Mixed Configured System Using ABC Algorithm Under Preventive Maintenance

Abstract

This paper presents an arrangement of parallel and series concepts to determine the reliability features of a multifaceted system. The profit analysis examined the overall gain of the setup after maintenance, preventive maintenance, and corrective maintenance. The components’ low efficiency is due to internal or external factors such as friction between the components and the corrosion of parts, and sometimes overloaded workloads slow the process of working, which can be reversed by applying proper preventive maintenance. The machine’s complete breakdown can be corrected using proper corrective maintenance. From the system’s compromised or malfunctioning state to its operational condition, maintenance rates are factored into the calculations in this study’s computation. The notions of the Markov process and Kolmogorov’s differential equations are utilized to develop the mathematical model of the planned structure. To optimize reliability indices, an artificial bee colony is used to maximize ATTF, availability, busy periods, and the expected visits of a preventive maintenance repairman. The profit is found after reliability indices. Here, we provide a mathematical illustration with graphical results presented.

Keywords

• ABC algorithm
• preventive and corrective maintenance
• food source
• bees selection
• Markov birth process