Maintenance Strategy and Decision Making Using Analytic Hierarchy Process (AHP) Method

Abstract

Maintenance has evolved and now plays a vital part in all types of industrial businesses, with an endless number of functions. Numerous sorts of multi-criteria challenges exist in industries or machines, which require a multi-criteria decision-making procedure to be addressed. Each form of maintenance method has its advantages, disadvantages, and benefits. The performance of a machine will be affected by the maintenance tactics utilized to keep it running. These machines needed to be well maintained because a malfunction could result in production losses. Due to issues such as safety, cost, productivity, and customer satisfaction, the maintenance approach utilized on each machine may differ from one to the next. AHP approach is used in this paper to model maintenance strategy and pick possible priorities of maintenance plan utilizing expert decision-making. After safety (38.2%), value added (20%), implementation cost (13.2%), performance measurement (5%), implementation capability (8.2%), support system integration (11.5%) and stock and material management (3.9%) are the next greatest priority considerations on implementation. AALRT system corrective maintenance is the least of our concerns as a result of this. For AALRT's introduction, Total Productive Maintenance (TPM) is advocated. AHP is a multi-criteria decision-making approach for selecting a maintenance plan, which is superior to the traditional experience-based method.