International Journal of Production Management and Engineering

Scope & Guideline

Catalyzing Knowledge in Industrial Engineering

Introduction

Delve into the academic richness of International Journal of Production Management and Engineering with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2340-5317
PublisherUNIV POLITECNICA VALENCIA, EDITORIAL UPV
Support Open AccessYes
CountrySpain
TypeJournal
Convergefrom 2019 to 2024
AbbreviationINT J PROD MANAG ENG / Int. J. Prod. Manag. Engineering
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMINO VERA S-N, VALENCIA 46022, SPAIN

Aims and Scopes

The International Journal of Production Management and Engineering primarily aims to advance knowledge in production management and engineering through innovative research and practical applications. The journal focuses on integrating theory with practice in various production environments, offering insights that bridge academia and industry.
  1. Production Optimization:
    The journal emphasizes methodologies for optimizing production processes, including dynamic lot sizing, facility layout planning, and scheduling algorithms that enhance efficiency and reduce costs.
  2. Sustainability in Manufacturing:
    A core area is the exploration of sustainable practices in manufacturing, such as lean and green methodologies, that aim to minimize waste and improve environmental performance.
  3. Integration of Technology and Production:
    The journal investigates the intersection of modern technologies, such as Industry 4.0, machine learning, and cyber-physical systems, with traditional production management principles.
  4. Supply Chain Management:
    Research on supply chain dynamics, risk assessment, and logistics is a significant focus, addressing challenges and strategies for effective supply chain operations.
  5. Human-Centric Approaches:
    The journal promotes studies on human factors in production systems, emphasizing ergonomics and workforce collaboration to enhance productivity and safety.
  6. Emerging Business Models:
    Exploration of new business models, such as servitization and digital transformation, reflecting the evolving landscape of production and manufacturing.
Recent publications reflect emerging trends and themes in production management and engineering. These themes highlight the journal's responsiveness to contemporary challenges and innovations within the field.
  1. Integration of Industry 4.0 and Lean Manufacturing:
    There is a growing body of research exploring the integration of lean manufacturing principles with Industry 4.0 technologies, highlighting the need for efficient, data-driven production systems.
  2. Sustainable Manufacturing Practices:
    Increasing focus on sustainability, particularly through lean-green methodologies and eco-productivity tools, indicates a significant trend towards environmentally responsible production.
  3. Human-Centric Production Systems:
    Emerging studies on human-centric approaches in production, including ergonomics and workforce engagement, reflect a shift towards recognizing the importance of human factors in operational efficiency.
  4. Advanced Analytics and Machine Learning:
    The rise of machine learning and data analytics in manufacturing processes is a prominent theme, emphasizing the role of technology in enhancing decision-making and operational effectiveness.
  5. Supply Chain Resilience:
    Research on supply chain risk management and resilience, particularly in light of global disruptions like the COVID-19 pandemic, is increasingly relevant, signifying a need for adaptive strategies.

Declining or Waning

While the journal continues to explore a wide array of topics, certain themes have shown a decline in publication frequency or relevance over recent years. This may indicate a shift in focus towards more contemporary issues in production management and engineering.
  1. Traditional Industrial Engineering:
    As the field evolves, traditional industrial engineering methodologies are receiving less attention, with a noticeable shift towards integrating advanced technologies and data science.
  2. Basic Quality Management Practices:
    Research focusing solely on basic quality management practices, without integration with modern techniques such as Six Sigma or Lean, has become less prominent, indicating a trend towards more comprehensive approaches.
  3. Static Supply Chain Models:
    The publication of static models for supply chain management is declining, as the emphasis is shifting towards dynamic and adaptive models that can respond to real-time changes and uncertainties.
  4. Single-Factor Analysis:
    There is a waning interest in studies that analyze production issues based on single factors, as the complexity of modern production environments calls for multi-faceted approaches.

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