Journal of Quality in Maintenance Engineering

Scope & Guideline

Exploring New Frontiers in Quality Engineering

Introduction

Welcome to your portal for understanding Journal of Quality in Maintenance Engineering, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1355-2511
PublisherEMERALD GROUP PUBLISHING LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1995 to 2024
AbbreviationJ QUAL MAINT ENG / J. Qual. Maint. Eng.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressFloor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE LS1 4DL, ENGLAND

Aims and Scopes

The Journal of Quality in Maintenance Engineering focuses on advancing the fields of maintenance engineering and management through innovative research, methodologies, and case studies. It aims to provide a platform for the dissemination of knowledge related to maintenance practices, technologies, and strategies that enhance operational performance and sustainability.
  1. Predictive and Condition-Based Maintenance:
    Research focused on developing techniques and frameworks for predictive maintenance, utilizing technologies like machine learning and data analytics to forecast equipment failures and optimize maintenance schedules.
  2. Reliability-Centered Maintenance (RCM):
    Exploration of RCM methodologies that prioritize maintenance activities based on reliability and risk assessments, ensuring optimal performance and longevity of equipment.
  3. Sustainable Maintenance Practices:
    Studies that investigate the integration of sustainability principles into maintenance practices, including energy efficiency and waste reduction strategies.
  4. Maintenance Management Frameworks:
    Development of comprehensive frameworks and models for effective maintenance management, including Total Productive Maintenance (TPM) and Lean maintenance approaches.
  5. Emerging Technologies in Maintenance:
    Research on the application of advanced technologies such as IoT, AI, and automation in maintenance processes to improve efficiency and reduce downtime.
  6. Asset Management and Optimization:
    Analysis of asset management strategies and optimization techniques to enhance the performance and reliability of industrial systems.
The Journal of Quality in Maintenance Engineering is witnessing an emergence of themes that reflect current industry challenges and technological advancements. These trends highlight the journal's responsiveness to evolving maintenance practices and the integration of new technologies.
  1. Machine Learning and AI in Maintenance:
    A significant increase in research applying machine learning and artificial intelligence for predictive maintenance, fault detection, and decision-making processes is evident, reflecting the industry's shift towards data-driven methodologies.
  2. Industry 4.0 and Smart Maintenance:
    Emerging themes related to Industry 4.0 technologies, including IoT and smart sensors, are gaining traction, emphasizing the need for interconnected and intelligent maintenance solutions.
  3. Sustainable and Green Maintenance Practices:
    There is a growing focus on sustainable maintenance practices that prioritize environmental responsibility and resource efficiency, aligning maintenance strategies with broader sustainability goals.
  4. Advanced Reliability Analysis Techniques:
    Research exploring advanced reliability analysis methods, including fuzzy logic and probabilistic approaches, is on the rise, supporting the need for more nuanced assessments of maintenance strategies.
  5. Digital Transformation in Maintenance Management:
    The trend towards digital transformation in maintenance management, including the development of integrated maintenance management systems and digital twins, is becoming increasingly prominent.

Declining or Waning

As the Journal of Quality in Maintenance Engineering evolves, certain themes that were once prevalent are now experiencing a decline in focus. This shift may reflect changes in industry priorities or advancements in technology that render previous approaches less relevant.
  1. Traditional Preventive Maintenance:
    There has been a noticeable decline in research centered solely on traditional preventive maintenance strategies as industries increasingly adopt predictive and condition-based maintenance techniques.
  2. Reactive Maintenance Strategies:
    The focus on reactive maintenance approaches, where maintenance is performed only after equipment failure, is waning in favor of more proactive and predictive methodologies.
  3. Manual Maintenance Processes:
    Research exploring manual maintenance practices is decreasing as automation and digital solutions become more prominent in the maintenance landscape, leading to a reduced interest in manual methodologies.
  4. General Maintenance Training:
    Studies focused on general training methods for maintenance personnel are diminishing as there is a growing emphasis on specialized training aligned with specific technologies and methodologies.
  5. Basic Maintenance Performance Metrics:
    The exploration of simplistic maintenance performance metrics is declining, with an increasing focus on comprehensive, multi-dimensional performance assessment frameworks.

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