ASSEMBLY AUTOMATION

Scope & Guideline

Elevating Industrial Engineering Through Insightful Research

Introduction

Welcome to your portal for understanding ASSEMBLY AUTOMATION, 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
ISSN0144-5154
PublisherEMERALD GROUP PUBLISHING LTD
Support Open AccessNo
Country-
TypeJournal
Convergefrom 1980 to 2022 (coverage discontinued in Scopus)
AbbreviationASSEMBLY AUTOM / Assem. Autom.
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 'ASSEMBLY AUTOMATION' focuses on the intersection of automation technologies and assembly processes, emphasizing innovative approaches and methodologies to enhance efficiency, quality, and adaptability in manufacturing environments.
  1. Robotics and Automation in Assembly Processes:
    Research related to the development and application of robotic systems for automating assembly tasks, including control strategies and robotic manipulation techniques.
  2. Quality Control and Tolerance Analysis:
    Studies focusing on methods for ensuring product quality through tolerance analysis, defect prediction, and quality management systems in assembly lines.
  3. Adaptive Control and Intelligent Systems:
    Explorations of adaptive control techniques, including active disturbance rejection and neural network applications, to enhance the performance of automated systems in dynamic environments.
  4. Data-Driven and AI Approaches:
    Utilization of artificial intelligence, machine learning, and data analytics for optimizing assembly processes, including predictive maintenance and performance monitoring.
  5. Human-Robot Collaboration:
    Research aimed at improving the interaction between human operators and robotic systems, focusing on ergonomic considerations and collaborative task execution.
  6. Modeling and Simulation of Assembly Processes:
    Development of models and simulations that assist in understanding and improving assembly operations, including planning, scheduling, and resource allocation.
The journal 'ASSEMBLY AUTOMATION' has increasingly focused on several emerging themes that reflect the latest advancements and interests in the field of automation and assembly technology.
  1. Integration of AI and Machine Learning:
    There is a notable increase in publications that explore the integration of AI and machine learning techniques into assembly processes, enhancing automation capabilities and predictive analytics.
  2. Collaborative Robotics (Cobots):
    The rise of collaborative robots, designed to work alongside human operators, is a significant trend, emphasizing safety, ergonomics, and improved human-robot interaction.
  3. Smart Manufacturing and Industry 4.0:
    Research related to smart manufacturing concepts, including IoT integration and real-time data analysis for optimizing assembly lines, is gaining momentum.
  4. Advanced Control Techniques:
    Emerging control strategies, such as adaptive and predictive control, are increasingly being studied for their ability to enhance the performance and flexibility of robotic systems.
  5. Sustainability and Eco-Efficiency:
    A growing emphasis on sustainable practices in manufacturing processes, including energy-efficient assembly techniques and waste reduction strategies, is becoming more prominent.

Declining or Waning

While 'ASSEMBLY AUTOMATION' has maintained a robust focus on various themes, certain areas have seen a decline in emphasis over recent years, reflecting shifts in research priorities and technological advancements.
  1. Traditional Manual Assembly Techniques:
    Research on conventional manual assembly methods has decreased, as the focus shifts towards automation and robotics, reflecting the industry's move towards fully automated processes.
  2. Basic Mechanical Systems without Advanced Control:
    Studies centered on basic mechanical systems lacking sophisticated control mechanisms have become less prevalent, as advancements in control theory and robotics take precedence.
  3. Single-Function Automation Solutions:
    There is a waning interest in automation solutions that focus solely on single functions without integration into broader automated systems, as holistic approaches gain traction.
  4. Static Assembly Processes:
    Research on static or non-adaptive assembly processes is declining, as there is a growing demand for dynamic and flexible assembly systems that can adapt to varying conditions.
  5. Non-Data-Driven Approaches:
    Approaches that do not leverage data analytics or AI for process improvement are seeing decreased publication, as the industry increasingly relies on data-driven insights for decision-making.

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