Journal of Industrial and Production Engineering
Scope & Guideline
Exploring New Horizons in Engineering Processes
Introduction
Aims and Scopes
- Supply Chain Management:
Research on optimizing supply chain processes, including logistics, inventory management, and risk mitigation strategies, especially in the context of disruptions and sustainability. - Production Optimization:
Development of mathematical models and algorithms for improving production efficiency, scheduling, and resource allocation in various manufacturing environments. - Sustainability and Cleaner Production:
Exploration of sustainable practices in industrial operations, including the integration of cleaner production principles, circular economy concepts, and environmental impact assessments. - Technological Integration and Industry 4.0:
Investigation of the impact of emerging technologies, such as IoT, AI, and digital twins, on manufacturing processes and operational efficiencies. - Ergonomics and Human Factors:
Studies focused on improving worker safety, productivity, and well-being through ergonomic design and human-centered approaches in industrial settings. - Decision-Making Frameworks:
Development of robust decision-making models that incorporate uncertainty and complex variables in manufacturing and production contexts.
Trending and Emerging
- Digital Transformation and Industry 4.0:
A growing focus on the integration of digital technologies, such as IoT and AI, into production processes is evident, highlighting the importance of smart manufacturing and data analytics. - Sustainable Supply Chain Practices:
Increased attention to sustainability in supply chains, including circular economy models and eco-friendly production practices, reflects a broader industry trend towards environmental responsibility. - Resilience in Supply Chains:
Research on enhancing supply chain resilience in response to disruptions, such as pandemics and natural disasters, has emerged as a critical area of study. - Robust Optimization under Uncertainty:
The development of optimization frameworks that effectively handle uncertainty in production and supply chain environments is gaining importance, addressing the complexities of real-world applications. - Human-Centric Design and Ergonomics:
There is a rising interest in the intersection of ergonomics and production engineering, focusing on optimizing worker conditions and enhancing productivity through better design practices.
Declining or Waning
- Traditional Manufacturing Techniques:
Research focused on conventional manufacturing methods is becoming less prevalent as the journal shifts towards innovative technologies and modern practices. - Basic Inventory Management:
Studies centered on basic inventory control concepts are diminishing, likely due to the increasing complexity and integration of advanced analytics and AI in inventory systems. - Single-Factor Optimization Models:
There is a noticeable decline in research that focuses solely on single-factor optimization without considering multi-objective or system-wide impacts, as the field moves towards holistic approaches. - Discipline-Specific Applications:
Research that concentrates on narrow, discipline-specific applications is waning, with a growing emphasis on interdisciplinary approaches that incorporate broader industrial applications. - Static Production Models:
The prevalence of static models that do not account for dynamic changes in production environments is decreasing, as there is a shift towards adaptive and responsive modeling techniques.
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