International Journal of Industrial Engineering and Management

Scope & Guideline

Fostering interdisciplinary dialogue for global impact.

Introduction

Welcome to your portal for understanding International Journal of Industrial Engineering and Management, 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
ISSN2217-2661
PublisherUniv Novi Sad, Fac Technical Sciences
Support Open AccessYes
CountrySerbia
TypeJournal
Convergefrom 2010 to 2024
AbbreviationINT J IND ENG MANAGE / Int. J. Ind. Eng. Manag.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTrg Dositeja Obradovica 6, Novi Sad 21000, SERBIA

Aims and Scopes

The International Journal of Industrial Engineering and Management (IJIEM) is dedicated to advancing the field of industrial engineering and management through the dissemination of high-quality research. The journal focuses on the integration of engineering principles with management practices to improve efficiency, productivity, and sustainability across various industries.
  1. Industrial Optimization and Efficiency:
    The journal emphasizes research on optimization techniques and methodologies aimed at enhancing operational efficiency across various industrial sectors, including manufacturing, supply chain, and logistics.
  2. Sustainable Industrial Practices:
    IJIEM publishes studies that explore sustainable practices in industrial management, including green supply chain management, sustainable production models, and the integration of environmental considerations into operational strategies.
  3. Technological Integration in Industry:
    The journal focuses on the application of advanced technologies such as artificial intelligence, machine learning, and Industry 4.0 principles to improve industrial processes and management practices.
  4. Quality Management and Performance Improvement:
    Research on quality management frameworks, methodologies, and their impact on operational performance is a core area, particularly studies that assess Total Quality Management (TQM) and similar practices.
  5. Collaboration and Supply Chain Management:
    The journal emphasizes the importance of collaboration within supply chains and industrial ecosystems, exploring factors affecting supplier-buyer relationships and strategies for effective collaboration.
The International Journal of Industrial Engineering and Management is witnessing an evolution in its research themes, with several emerging areas gaining traction. These trends reflect the journal's responsiveness to contemporary challenges and technological advancements in the industrial sector.
  1. Artificial Intelligence and Machine Learning Applications:
    Recent publications highlight a growing interest in the application of AI and machine learning for optimizing production processes, predictive maintenance, and enhancing decision-making capabilities in industrial settings.
  2. Industry 4.0 and Digital Transformation:
    There is a marked increase in research focusing on Industry 4.0 technologies, including the Internet of Things (IoT), digital twins, and cyber-physical systems, emphasizing their role in driving digital transformation within industries.
  3. Sustainable and Circular Economy Practices:
    Emerging themes around sustainability, particularly in the context of circular economy practices, are gaining prominence as industries seek to reduce waste and improve resource efficiency.
  4. Human Factors and Workforce Management in Automation:
    Research exploring the psychosocial impacts of automation and the role of human factors in the adoption of Industry 4.0 technologies is on the rise, reflecting a growing recognition of the importance of workforce dynamics.
  5. Advanced Supply Chain Risk Management:
    There is an increasing focus on advanced methodologies for supply chain risk assessment and mitigation, driven by the complexities introduced by global supply chain disruptions.

Declining or Waning

While the International Journal of Industrial Engineering and Management has maintained a broad focus, certain themes have shown a decline in prominence over recent years. This shift reflects changing industry priorities and emerging challenges in the field.
  1. Traditional Manufacturing Techniques:
    There has been a notable decrease in research focusing solely on traditional manufacturing techniques without the integration of new technologies or sustainability considerations, as industries pivot towards more innovative approaches.
  2. Conventional Quality Control Methods:
    Studies centered around conventional quality control methods are appearing less frequently, likely due to the increasing emphasis on integrated quality management systems and real-time analytics.
  3. Basic Supply Chain Models:
    Research on basic or traditional supply chain models without the incorporation of advanced methodologies such as big data analytics or AI-driven decision-making is becoming less prevalent, reflecting a shift towards more complex and adaptive supply chain strategies.

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