PRODUCTION PLANNING & CONTROL
Scope & Guideline
Driving Efficiency Through Research and Innovation
Introduction
Aims and Scopes
- Supply Chain Management Innovations:
The journal emphasizes research on innovative supply chain management practices, including the adoption of technologies such as blockchain, Industry 4.0, and AI, aimed at enhancing operational efficiency and transparency. - Lean and Agile Manufacturing Practices:
A core area of focus is the integration of lean and agile methodologies within manufacturing and service contexts, exploring their impact on efficiency, waste reduction, and responsiveness to market demands. - Sustainability and Circular Economy:
Research on sustainable production practices and the transition towards circular economy principles is prevalent, examining how organizations can balance profitability with environmental and social responsibilities. - Digital Transformation in Operations:
The journal highlights the role of digital technologies in transforming production and supply chain operations, including studies on data analytics, IoT, and smart manufacturing. - Risk Management in Supply Chains:
Another key area is the exploration of risk management strategies in supply chains, particularly in response to disruptions caused by global crises such as the COVID-19 pandemic. - Inter-organizational Collaboration:
The journal also addresses the dynamics of collaboration among various stakeholders in supply chains, focusing on governance mechanisms, partnerships, and relational management.
Trending and Emerging
- Integration of AI and Machine Learning:
There is a burgeoning interest in the application of AI and machine learning within supply chain and production processes, focusing on predictive analytics, optimization, and automated decision-making. - Sustainability and Resilience:
Research on sustainability practices and resilience in supply chains is on the rise, particularly in the context of environmental impacts, resource efficiency, and the circular economy. - Digital Supply Chain Transformation:
The transformation of supply chains through digital technologies, including IoT and big data analytics, is gaining momentum. This trend emphasizes real-time data utilization and smart supply chain solutions. - Collaboration and Network Governance:
Increasingly, studies are exploring the complexities of inter-organizational collaboration and governance mechanisms, particularly in multi-tier supply chains, to enhance performance and innovation. - Crisis Management in Supply Chains:
The impact of global crises, such as the COVID-19 pandemic, on supply chain management practices has become a significant area of research, focusing on developing frameworks for crisis resilience.
Declining or Waning
- Traditional Manufacturing Practices:
Research focused solely on traditional manufacturing practices has waned as the industry increasingly embraces digitalization and innovative methodologies. Papers that do not incorporate modern technologies or sustainability aspects are less frequently published. - Single-Faceted Approaches to Supply Chain Issues:
There is a noticeable decline in studies that approach supply chain challenges from a singular perspective, such as purely cost-focused analyses, as interdisciplinary and holistic approaches gain traction. - Static Supply Chain Models:
The use of static models that do not account for the dynamic nature of supply chains is becoming less common. Researchers are favoring models that incorporate variability, uncertainty, and real-time data. - Localized Supply Chain Studies:
Research limited to localized supply chain studies without a broader context or implications for global supply chains is diminishing, as there is a growing emphasis on global interconnectedness and comparative analyses.
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