Strategically optimum maintenance of monitoring‐enabled multi‐component systems using continuous‐time jump deterioration models

Abstract

Efficient usage of high-tech, costly industrial equipment requires not only a good operations schedule, but also a well-designed maintenance schedule to prevent losses of capital and lives. Condition-based maintenance (CBM) uses real-time information to schedule maintenance. With today's sensor technology, CBM is implemented in practice and supports the delivery of Long-Term Service Agreements (LTSA) by companies (such as G.E., UTC). An LTSA is a service contract, sold bundled with the products, making a provider responsible for maintaining their products over a specified contract period. In this paper, we address the strategic maintenance problem from the provider's perspective. The goal is to find an optimal maintenance strategy for a multi-component system, which suffers continuous stochastic deterioration with jumps. The deterioration of the system is analyzed using a continuous-time simulation and a search algorithm to find the optimal strategic maintenance actions is developed.

Condition based maintenance of machine tools—A review

“…The heart of CBM is the CM process, where signals are continuously monitored using certain types of sensor or other appropriate indicators [9]. In general, the primary goal of CBM is to do a real-time assessment of equipment conditions in order to make maintenance decisions, therefore reducing unnecessary maintenance and associated costs [10]. A popular approach to CBM is modal parameters which are functions of the physical properties (mass, stiffness, damping) of the structure.…”

Condition-based maintenance for multi-component systems using importance measure and predictive information

“…This is why in the last decade many studies have International Journal of Systems Science: Operations & Logistics 229 investigated in incorporating the interactions among components in CBM decisions-making of multi-component systems. Most of the studies focus on the economic dependence (Bouvard, Artus, Bérenguer, & Cocquempot, 2011;Castanier, Grall, & Bérenguer, 2005;Cheng, 2010;Huynh, Barros, & Bérenguer, 2013;Tian & Liao, 2011), and the stochastic dependence (Barros, Bérenguer, & Grall, 2003;Bian & Gebraeel, 2014;Gupta & Lawsirirat, 2006). Incorporating the structural dependence in CBM strategies is still limited (Jia, 2010;Van Horenbeek & Pintelon, 2013).…”

Discrete Event Logistics Systems (DELS) simulation modeling incorporating two-step Remaining Useful Life (RUL) estimation

“…The main goal of PHM is to perform a real-time assessment of equipment conditions to make maintenance decisions, consequently reducing unnecessary maintenance and related costs [9]. By combining fault information and tracking trends of system degradation, the probable fault occurrence time is predicted and the RUL value is subsequently estimated.…”