Industrial Engineering and Management Systems

Scope & Guideline

Connecting minds to enhance industrial management practices.

Introduction

Welcome to your portal for understanding Industrial Engineering and Management Systems, 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
ISSN1598-7248
PublisherKOREAN INST INDUSTRIAL ENGINEERS
Support Open AccessNo
CountrySouth Korea
TypeJournal
Convergefrom 2014 to 2024
AbbreviationIND ENG MANAG SYST / Ind. Eng. Manag. Syst.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressVICTORIA BLDG RM 509, 705-1 YEOKSAM-DONG, KANGNAM-GU, SEOUL 135-080, SOUTH KOREA

Aims and Scopes

The journal 'Industrial Engineering and Management Systems' focuses on the intersection of industrial engineering, management practices, and systems optimization. It aims to publish research that advances knowledge in these areas through innovative methodologies and applications.
  1. Industrial Engineering Applications:
    Research that applies industrial engineering principles to optimize processes, enhance productivity, and improve operational efficiency across various sectors.
  2. Human Factors and Ergonomics:
    Studies focused on understanding the interaction between humans and systems, particularly in terms of ergonomics and safety, to reduce workplace injuries and enhance user experience.
  3. Supply Chain and Logistics Management:
    Investigations into supply chain dynamics, logistics optimization, and performance evaluation to ensure efficient resource utilization and distribution.
  4. Data Analytics and Machine Learning:
    Utilization of advanced data analytics and machine learning techniques to inform decision-making, predictive modeling, and process improvement in industrial contexts.
  5. Sustainability and Environmental Impact:
    Research that emphasizes sustainable practices within industrial systems, aiming to reduce environmental footprints and improve resource management.
  6. Quality Management and Improvement:
    Studies focusing on quality control, assurance methodologies, and continuous improvement strategies within manufacturing and service industries.
The journal has seen a rise in specific themes that reflect current trends in industrial engineering and management systems. These emerging scopes indicate areas of increasing interest and relevance in the field.
  1. Integration of Machine Learning in Industrial Processes:
    The use of machine learning techniques for predictive analytics and process optimization has gained traction, highlighting the importance of data-driven decision-making in industrial settings.
  2. Focus on Ergonomics and Human-Centric Design:
    A growing emphasis on ergonomics and the human experience in industrial design has emerged, reflecting a broader awareness of health, safety, and productivity.
  3. Sustainable Practices and Green Engineering:
    Research centered on sustainability, including eco-friendly practices and the integration of environmental considerations into engineering solutions, is increasingly prevalent.
  4. Digital Transformation and Industry 4.0:
    Explorations of digital technologies, automation, and smart manufacturing practices are trending, indicating a shift towards more integrated and advanced industrial systems.
  5. Complex Systems and Network Analysis:
    There is an increasing focus on analyzing complex systems and their interdependencies, reflecting the need for comprehensive approaches to understanding industrial networks.

Declining or Waning

While certain themes remain robust, others have shown a decline in focus within the journal's recent publications. This section highlights these waning themes, indicating shifts in research priorities.
  1. Traditional Manufacturing Techniques:
    Research related to conventional manufacturing processes and techniques has decreased, possibly due to a shift towards automation and more advanced manufacturing technologies.
  2. Basic Economic Analysis:
    Papers focused solely on traditional economic analysis without integrating modern methodologies or technological advancements have become less prevalent.
  3. Descriptive Studies without Innovation:
    There has been a noticeable decline in studies that merely describe existing practices or phenomena without proposing innovative solutions or methodologies.
  4. Single-Factor Studies:
    Research focusing on the impact of a single variable in isolation has waned, as there is a growing preference for multi-factorial and integrative approaches.

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