Production Engineering-Research and Development

Scope & Guideline

Driving Efficiency and Sustainability in Manufacturing Processes.

Introduction

Delve into the academic richness of Production Engineering-Research and Development 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
ISSN0944-6524
PublisherSPRINGER HEIDELBERG
Support Open AccessNo
CountryGermany
TypeJournal
Converge1977, from 2008 to 2024
AbbreviationPROD ENG-RES DEV / Prod. Eng.-Res. Dev.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY

Aims and Scopes

The journal 'Production Engineering - Research and Development' focuses on advancing the field of production engineering through innovative research, methodologies, and practical applications. It aims to bridge the gap between theoretical advancements and industrial practices, facilitating the development of efficient and sustainable manufacturing systems.
  1. Production Systems and Processes:
    The journal covers various aspects of production systems, including design, optimization, and control of manufacturing processes. It emphasizes the integration of new technologies and methodologies to enhance efficiency and productivity.
  2. Material Science and Engineering:
    Research on the development and characterization of new materials and their application in production processes is a core focus. This includes studies on material behavior under different manufacturing conditions and the impact on product quality.
  3. Automation and Robotics:
    The journal highlights advancements in automation technologies and robotics, exploring their implementation in production environments to improve operational efficiency and reduce human error.
  4. Sustainability and Lean Manufacturing:
    A significant emphasis is placed on sustainable manufacturing practices and lean production principles, aiming to minimize waste and enhance resource efficiency in manufacturing systems.
  5. Data-Driven Decision Making:
    Research related to data analytics, machine learning, and artificial intelligence applications in manufacturing is a key area. The journal promotes methodologies that leverage data for improved decision-making processes in production engineering.
  6. Human Factors and Ergonomics in Production:
    The journal also addresses the human aspects of manufacturing, focusing on ergonomics, human-robot collaboration, and the influence of human factors on production efficiency and safety.
The journal has recently witnessed the emergence of several trending themes that reflect the evolving landscape of production engineering. These trends highlight the integration of cutting-edge technologies and innovative methodologies that address contemporary challenges in manufacturing.
  1. Industry 4.0 and Smart Manufacturing:
    There is a growing emphasis on Industry 4.0 concepts, including the Internet of Things (IoT), cyber-physical systems, and smart manufacturing, which are transforming traditional manufacturing paradigms into more interconnected and efficient systems.
  2. Machine Learning and AI Applications:
    Research on the application of machine learning and artificial intelligence in production engineering is on the rise, focusing on predictive maintenance, process optimization, and quality control.
  3. Sustainable Manufacturing Practices:
    Emerging themes related to sustainability, circular economy, and green manufacturing are becoming increasingly prominent, reflecting the industry's commitment to reducing environmental impact and resource consumption.
  4. Digital Twins and Simulation Technologies:
    The integration of digital twin technologies and advanced simulation methods for process optimization and monitoring is gaining traction, allowing for more accurate modeling and predictive capabilities in manufacturing.
  5. Human-Robot Collaboration:
    Research focusing on human-robot collaboration is trending, addressing the need for effective interaction between human operators and robotic systems in various manufacturing settings.

Declining or Waning

While the journal maintains a broad focus on various aspects of production engineering, certain themes have shown a decline in prominence over recent years. This may indicate a shift in research priorities or the maturation of specific areas of study.
  1. Traditional Manufacturing Techniques:
    There has been a noticeable decrease in research focused on traditional manufacturing methods, such as conventional machining processes. This decline may reflect the industry's shift towards advanced manufacturing techniques and automation.
  2. Single-Material Manufacturing Approaches:
    Research that focuses solely on single-material manufacturing processes is waning as the trend shifts towards hybrid and multi-material approaches, which offer greater functionality and performance.
  3. Static Process Control:
    Themes related to static or less agile process control methods are becoming less frequent, as the industry increasingly prioritizes dynamic and adaptive control systems that can respond to real-time data.
  4. Basic Quality Control Techniques:
    The focus on fundamental quality control methods is diminishing, possibly due to a growing emphasis on integrated quality management systems that leverage advanced technologies and data analytics.
  5. Manual Assembly Processes:
    Research on purely manual assembly processes is declining as automated and semi-automated systems gain traction, reflecting a broader trend towards automation in manufacturing.

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