Production Engineering Archives
Scope & Guideline
Pioneering Research for a Sustainable Industrial Future
Introduction
Aims and Scopes
- Production Optimization:
Research dedicated to enhancing production processes through methodologies such as lean manufacturing, process improvement, and optimization techniques. - Sustainable Manufacturing:
Exploration of eco-friendly practices and technologies aimed at reducing environmental impact while improving efficiency in manufacturing operations. - Industry 4.0 and Digital Transformation:
Investigation of the integration of digital technologies, automation, and data analytics in manufacturing, including the implications for workforce skills and organizational change. - Materials Engineering and Quality Control:
Focus on the properties, performance, and management of materials used in production, including quality assurance practices and methodologies. - Health and Safety in Manufacturing:
Research on workplace hazards, safety practices, and ergonomic considerations aimed at improving worker safety and operational efficiency. - Supply Chain Management:
Studies addressing the complexities of supply chain dynamics, including logistics, procurement, and inventory management.
Trending and Emerging
- Digitalization and Smart Manufacturing:
A growing emphasis on the role of digital technologies, including AI and IoT, in enhancing manufacturing processes and decision-making. - Sustainable and Circular Economy Practices:
Increasing attention is being given to sustainable manufacturing practices and circular economy principles, reflecting a broader industry trend towards sustainability. - Workplace Safety and Ergonomics:
There is an emerging focus on enhancing workplace safety and ergonomics, particularly in the context of small and medium-sized enterprises. - Advanced Materials and Coatings:
Research into innovative materials and surface treatments is gaining traction, particularly for improving performance and durability in manufacturing. - Data-Driven Decision Making:
The use of big data and analytics in production management is on the rise, with studies exploring how data can optimize operations and improve efficiency.
Declining or Waning
- Traditional Manufacturing Techniques:
Research on conventional methods, such as manual machining and basic assembly processes, appears to be less emphasized in favor of advanced technologies and automation. - Basic Quality Control Methods:
The focus on traditional quality control techniques is decreasing, with more attention being given to integrated and automated quality assurance systems. - Single-Factor Studies in Production:
There is a noticeable shift away from studies examining isolated variables in production processes, favoring more complex, multi-factor analyses. - Static Facility Layout Design:
Research pertaining to static facility layouts is diminishing, as dynamic and flexible layouts that adapt to changing production needs become more relevant. - Historical Case Studies:
Publications based solely on historical case studies are declining as the journal increasingly prioritizes contemporary research with practical applications.
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