Bi-objective optimization of non-periodic preventive maintenance strategy by considering time value of money

Abstract

Recently, design of preventive maintenance (PM) policies during the warranty period has attracted the attention of researchers. The methods mainly design warranty servicing strategies in a way that reduce the cost imposed on the manufacturer without considering the impact of customer dissatisfaction. While dissatisfaction with a product is an important issue which may result in the loss of potential buyers and switching existing buyers to competitors.Therefore, this study develops a bi-objective model which simultaneously minimizes the manufacturer and the buyer cost under a Non-homogeneous Poisson Process framework. Also, a non-periodic preventive maintenance strategy is presented in which PM actions are performed at discrete time instants in a way that the expected number of failures remains a constant value over all PM intervals. Furthermore, it is a known fact that the value of money reduces over time due to different reasons and has a significant impact on long-term contracts. Since PMs and repairs are conducted at different times, the time value of money is considered to estimate the cost more accurately. A comparative study is conducted to support this claim that the presented nonperiodic reliability-based PM policy has a better performance in comparison with a periodic PM policy.

An integrated bi-objective model under warranty, technology level, and pricing by considering pre-sale and post-sale costs

“…Salmasnia and Yazdekhasti [21] provided a periodic PM strategy under a non-renewing warranty (NRW) policy by optimizing the manufacturer's costs and consumer satisfaction level. Salmasnia and Baratian [22] considered maximizing manufacturer and buyer satisfaction to optimally determine postsale services (see also [23][24][25]). However, no research has examined the hybrid perspective under our defined framework.…”