Advances in Production Engineering & Management

Scope & Guideline

Elevating the Future of Production Engineering.

Introduction

Immerse yourself in the scholarly insights of Advances in Production Engineering & Management 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
ISSN1854-6250
PublisherUNIV MARIBOR, FAC MECHANICAL ENGINEERING
Support Open AccessNo
CountrySlovenia
TypeJournal
Convergefrom 2014 to 2024
AbbreviationADV PROD ENG MANAG / Adv. Prod. Eng. Manag.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressSMETANOVA ULICA 17, MARIBOR SI-2000, SLOVENIA

Aims and Scopes

The journal 'Advances in Production Engineering & Management' focuses on innovative methodologies and technologies within the realm of production engineering and management. It aims to disseminate research that enhances efficiency, sustainability, and effectiveness in manufacturing systems.
  1. Production Optimization:
    The journal emphasizes methodologies to optimize production processes, including scheduling, resource allocation, and supply chain management, often utilizing advanced algorithms and simulation techniques.
  2. Sustainability in Manufacturing:
    Research focusing on sustainable practices within manufacturing, such as green supply chains, waste reduction, and eco-friendly technologies, is prominent, reflecting the industry's shift towards sustainability.
  3. Integration of Technology and Automation:
    A core area of interest is the integration of modern technologies such as AI, IoT, and machine learning into production systems to enhance automation, decision-making, and real-time monitoring.
  4. Human-Robot Collaboration:
    The journal addresses the growing trend of human-robot collaboration in manufacturing settings, exploring ways to balance human labor with robotic assistance for improved productivity.
  5. Supply Chain Engineering:
    Research on supply chain logistics, including coordination, risk management, and optimization, is a significant focus, highlighting the importance of efficient supply chain operations.
  6. Advanced Manufacturing Techniques:
    The publication showcases studies on advanced manufacturing techniques, such as additive manufacturing and precision engineering, contributing to the evolution of production capabilities.
The journal has displayed a dynamic evolution in its research themes, with several emerging topics gaining traction in recent years. These trends reflect current challenges and advancements in production engineering and management.
  1. Machine Learning and AI in Production Systems:
    There is a marked increase in research applying machine learning and AI techniques to optimize production processes, predictive maintenance, and decision-making, underscoring the industry's digital transformation.
  2. Digital Twin Technology:
    The concept of digital twins is gaining prominence, with studies exploring its applications in real-time monitoring and optimization of manufacturing systems, enhancing operational efficiency.
  3. Supply Chain Resilience and Disruption Management:
    Recent publications have focused on strategies for enhancing supply chain resilience, particularly in response to disruptions such as those caused by global events, reflecting a critical need for robust supply chain strategies.
  4. Sustainability and Circular Economy:
    Research on sustainable manufacturing practices and circular economy principles is on the rise, highlighting the industry's commitment to reducing environmental impact and promoting resource efficiency.
  5. Human-Centric Manufacturing Approaches:
    Emerging themes include human-centric design and collaboration in manufacturing, emphasizing the importance of worker engagement and the integration of human expertise with automated systems.
  6. Advanced Simulation Techniques:
    The use of advanced simulation methods, such as discrete event simulation and hybrid approaches, is trending, allowing for more accurate modeling of complex production systems.

Declining or Waning

While the journal has maintained a robust focus on various aspects of production engineering, some themes have shown a decline in prominence over recent years. These waning themes reflect shifts in research interests and emerging challenges in the field.
  1. Traditional Manufacturing Techniques:
    Research focusing solely on traditional manufacturing techniques has become less frequent, as the field increasingly gravitates towards innovative and automated processes.
  2. Basic Statistical Methods in Production:
    There is a noticeable decrease in papers that rely on basic statistical methods for production analysis, as more complex and sophisticated data-driven approaches are being adopted.
  3. Single-Factor Studies:
    Studies that examine the effects of single variables on production outcomes are declining in favor of multi-faceted, systems-oriented approaches that consider multiple interacting factors.
  4. Generalized Quality Control Techniques:
    General quality control methodologies are being overshadowed by more specialized and advanced quality management practices, particularly those incorporating Industry 4.0 technologies.
  5. Theoretical Frameworks Without Empirical Data:
    The journal is seeing fewer submissions that propose theoretical models without empirical validation, as there is a growing expectation for research to include practical case studies and real-world applications.

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