Smart retrofitting in maintenance: a systematic literature review

Abstract

The last decade saw the rise of digitalization and data-supported decision making in the manufacturing industry: the Fourth Industrial Revolution. This trend, also known as Industry 4.0, allows manufacturing enterprises to discover manufacturing uncertainties and measure their real manufacturing capability. One of the ways in which Industry 4.0 trends have been exploited is in the improvement of maintenance, which went from following planning-focused paradigms to more proactive-focused stances. Enabling the Industry 4.0 vision for maintenance purposes has historically required companies to either replace or upgrade their existing legacy devices. It is through the latter course of action that Smart retrofitting in maintenance (SRM) intends to bring value to enterprises. This work aims to present a systematic literature review on SRM, utilizing the oft-cited PRISMA methodology. Through this analysis, a definition of SRM that reflects the current state of the art is proposed. Furthermore, the research in SRM applied in the context of different maintenance strategies is assessed (i.e. reactive, planned, proactive and strategic maintenance), and the most common drivers and challenges in SRM are presented. Finally, a roadmap for the implementation of SRM is proposed. The analysis of the SRM literature reveals that there are important research opportunities in the exploitation of SRM for strategic maintenance and asset management. The authors hope that this document leads to the consolidation of a new research area that aims to add value to maintenance in enterprises through the application of smart retrofitting in preexisting legacy devices.

Intelligent Approaches for Anomaly Detection in Compressed Air Systems: A Systematic Review

“…This systematic literature review was conducted according to the PRISMA statement and protocol. Although this protocol was originally developed and is used within healthcare publications, the use of it within the engineering and data science research areas is increasing, as seen in [10,11,13,[29][30][31][32]. This protocol was chosen as it provides guidance in determining the relevant publications within the determined research area.…”

“…Two of the main academic databases were selected as sources of information, being Web of Science and Scopus. This selection was intended to combine the benefits of both databases, and was based on other publications that implement a similar selection within engineering research groups [9,11,[29][30][31][32]. Apart from Scopus being owned by Elsevier and Web of Science by Clarivate, these databases offer a broad range of research publications.…”

Автоматизація Внутрішньо-Складських Виробничих Логістичних Процесів Для Впровадження Концепції Industry 4.0: Енергоощадливість, Продуктивність, Мобільність, Модульність, Автономність

“…Використання багаторівневих шатлових систем частково вирішує проблему транспортування та зберігання великих об'ємів продукції на складах [12]. Але значним недоліком відзначити високу вартість шатлових конструкцій та їх монтажу, обслуговування та невисоку енергоефективність [10].…”

Sustainability Indices and RAM Analysis for Maintenance Decision Making Considering Environmental Sustainability

“…In maintenance management, maintenance performance measurement systems (MPMSs) have been utilized to measure, monitor, and improve the outcome of the maintenance function [23,24]; the ongoing digital transformation is further facilitating the implementation of these systems [25,26]. MPMSs need to be aligned with corporate objectives by defining measures at each organizational level; i.e., strategic, tactical, and operational.…”