Journal of Quality in Maintenance Engineering: Volume 29 Issue 5

Quantifying the impact of early-stage maintenance clustering

Julie Krogh Agergaard, Kristoffer Vandrup Sigsgaard, Niels Henrik Mortensen, Jingrui Ge, Kasper Barslund Hansen

The purpose of this paper is to investigate the impact of early-stage maintenance clustering. Few researchers have previously studied early-stage maintenance clustering…

Validating elements of organisational maintenance policy for maintenance management of public buildings in Nigeria

Babatunde Fatai Ogunbayo, Clinton Ohis Aigbavboa, Wellington Didibhuku Thwala, Opeoluwa Israel Akinradewo, David Edwards

Maintenance policy is an element of building maintenance management that deals with organisation policy, planning and procedures, and delineates how maintenance units in an…

Industry 4.0 and intelligent predictive maintenance: a survey about the advantages and constraints in the Italian context

Roberta Stefanini, Giovanni Paolo Carlo Tancredi, Giuseppe Vignali, Luigi Monica

In the context of the Industry 4.0, this paper aims to investigate the state of the art of Italian manufacturing, focusing the attention on the implementation of intelligent…

Modular maintenance instructions architecture (MMIA)

Kristoffer Vandrup Sigsgaard, Julie Krogh Agergaard, Niels Henrik Mortensen, Kasper Barslund Hansen, Jingrui Ge

The study consists of a literature study and a case study. The need for a method via which to handle instruction complexity was identified in both studies. The proposed method was…

Service-based business models in the Swedish railway industry

Mirka Kans, Anders Ingwald

The purpose is to describe new business opportunities within the Swedish railway industry and to support the development of business models that corresponds with the needs and…

Maintenance work management process model: incorporating system dynamics and 4IR technologies

Mpho Trinity Manenzhe, Arnesh Telukdarie, Megashnee Munsamy

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

A computer vision approach to improve maintenance automation for thermal power plants lubrication systems

Nengsheng Bao, Yuchen Fan, Chaoping Li, Alessandro Simeone

Lubricating oil leakage is a common issue in thermal power plant operation sites, requiring prompt equipment maintenance. The real-time detection of leakage occurrences could…