Management Systems in Production Engineering

Scope & Guideline

Advancing Innovation in Production Management

Introduction

Immerse yourself in the scholarly insights of Management Systems in Production Engineering with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2299-0461
PublisherSCIENDO
Support Open AccessYes
CountryGermany
TypeJournal
Convergefrom 2018 to 2024
AbbreviationMANAG SYST PROD ENG / Manag. Syst. Prod. Eng.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressBOGUMILA ZUGA 32A, WARSAW, MAZOVIA 01-811, POLAND

Aims and Scopes

The journal 'Management Systems in Production Engineering' focuses on the intersection of management principles and production engineering practices. It aims to enhance operational efficiency and foster innovation through systematic methodologies and interdisciplinary approaches. The core areas of research include:
  1. Production Optimization:
    Research aimed at improving production processes, including methodologies like lean manufacturing, Six Sigma, and optimization techniques that enhance efficiency and reduce waste.
  2. Supply Chain Management:
    Exploration of various aspects of supply chain management, including risk management, resilience, and integration of advanced technologies for improved performance.
  3. Sustainable Development and Circular Economy:
    Focus on sustainable practices in production and logistics, emphasizing the importance of environmental management and circular economy principles.
  4. Technological Innovation and Digitalization:
    Investigation of the impact of emerging technologies such as AI, machine learning, and digital tools on production processes and operational management.
  5. Human Factors and Ergonomics:
    Research addressing the role of human factors in production environments, including ergonomics, work-life balance, and the impact of social dynamics on organizational performance.
  6. Quality Management:
    Studies on quality control methodologies, performance metrics, and the implementation of quality management systems across various industries.
The journal has shown a dynamic evolution in its themes, reflecting current challenges and innovations in production engineering and management systems. Notable emerging trends include:
  1. Integration of Artificial Intelligence and Machine Learning:
    There is a significant increase in studies exploring the application of AI and machine learning in optimizing production and supply chain processes, emphasizing the role of technology in enhancing operational efficiency.
  2. Sustainability and Environmental Management:
    An emerging focus on sustainable practices and environmental management systems is evident, with research addressing the implications of production activities on ecological balance.
  3. Digital Transformation and Industry 4.0:
    The themes surrounding digital transformation, including Industry 4.0 concepts, are gaining traction as organizations seek to modernize operations through advanced technologies.
  4. Data-Driven Decision Making:
    Increasing attention is being paid to methodologies that leverage big data analytics for informed decision-making in production and supply chain management.
  5. Collaborative Supply Chain Networks:
    Research is trending towards understanding collaborative models in supply chains, focusing on partnerships and integration across different sectors for enhanced resilience and efficiency.

Declining or Waning

While the journal continues to evolve and adapt to emerging trends, certain themes appear to be losing prominence in recent years. This may indicate a shift in focus towards more contemporary issues within the field. The declining themes include:
  1. Traditional Manufacturing Techniques:
    Research focused on conventional manufacturing methods has decreased, possibly due to the rise of digital technologies and automation that are reshaping production practices.
  2. Static Risk Management Approaches:
    There is a noticeable decline in studies employing traditional risk management frameworks, as newer, more dynamic methodologies are gaining traction in supply chain management.
  3. Single-Industry Case Studies:
    Publications centered on case studies from single industries are becoming less frequent, suggesting a trend towards cross-industry analyses that provide broader insights.
  4. Labor-Intensive Production Models:
    The focus on labor-intensive production processes appears to be waning as industries increasingly adopt automation and AI-driven solutions.
  5. Regulatory Compliance Focus:
    Research primarily addressing regulatory compliance in production engineering is less prevalent, indicating a shift towards proactive innovation and strategic management.

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