Maintenance and Asset Life Cycle for Reliability Systems

Abstract

This chapter presents tools, methods, and indicators, in order to develop a successful and modern maintenance program. These are based on reliability engineering that improves the reliability of a system or complex equipment. Frequently, the industry implements maintenance schemes, which are based on equipment's manufacturer's recommendations and may not apply changes throughout the asset life cycle. In this sense, several philosophies, methodologies, and standards seek to assist this process, but most of them do not take into consideration their operation characteristics, production necessity, and other factors that are regarded as being important to one's company. This method is based on the analysis of preventive component replacements and the subsequent critical consequences. These analyses may be used as a decision-making tool for defining component replacement decisions. In this chapter, the first section introduces and justifies the importance of this topic being approached from the perspective of asset management. Next, it discusses key maintenance concepts and techniques, with the aim of establishing the foundation of a maintenance management. The purpose of the final section is to present a maintenance strategy model, and it presents the findings of the case study about model implementation at home cleaning service company.

Examining critical project management skills for successful delivery of major maintenance projects: insights from the United Kingdom energy sector

“…The component "implementation of processes and time management skills" was also explained by three variables/skills items and was observed as the sixth most important project management skills component, accounting for 3.837% of the variance in project management skills important for major maintenance projects in the energy sector. Industries implement maintenance schemes based on equipment manufacturers' recommendations that may not be able to generate positive changes throughout the lifecycle of an asset (Patino- Rodriguez and Carazas, 2018). Organizational management systems should aid the decision-making process and include some level of forecasting, acknowledging the inevitability of occasional failure.…”

“…Organizational management systems should aid the decision-making process and include some level of forecasting, acknowledging the inevitability of occasional failure. Patino- Rodriguez and Carazas (2018) iterated that effective management requires systems and tools to predict the reliability of production systems. To predict failures or defects with a high degree of certainty, the operator can manage the logistics and resources necessary to make interventions with the least impact on production (Besnard and Bertling, 2010;Herrera et al, 2009).…”

“…Maintenance is defined by the British Standard Glossary as "the combination of all the technical and administrative actions, including supervision actions, intended to retain an item in or restore it to a state in which it can perform a required function" (BS EN 13306, 2010). It is a set of organized activities that are carried out to keep an item in its best operational condition with the minimum cost required (Patino- Rodriguez and Carazas, 2019). Effective maintenance work involves a series of tasks.…”

Graph-enabled digital twins for intelligent product lifecycle management: a multi-dimensional approach to design, manufacturing, and supply chain transformation

“…Functioning as a system of systems (SoS), a CDT augments shop floor processes and asset domain knowledge across lifecycles for automatic computational reasoning by utilizing iKGs to coordinate multisource heterogeneous data and derive feasible recommendations semantically [405]. From a maintenance management viewpoint, the severity and urgency of specific asset faults can be traced by the interconnecting entities across maintenance, process, and quality inspection workflows [406]. Thus, this chapter proposes a CDT system for causality inference in maintenance processes, providing an alternative perspective to enhance predictive maintenance via product quality inspections compared to traditional asset-based monitoring methods.…”

“…An overview of a maintenance causality workflow is shown in Figure 5.1 highlighting key measures and roles involved in customized production scenarios. Aiming to enhance the maintenance lifecycle value chain [406], it is necessary to map out all these aspects and peg them to an outlined set of maintenance management goals which resonates and aligns with corporate management directions. The measures must be compatible with maintenance strategies (e.g., reactivereplace/ repair upon malfunction, preventiveperiodical module replacements, predictiveanalytics-driven failure forecast, aka just-in-time maintenance, prescriptiverecommendation-based failure avoidance).…”