Dear Colleagues,
Happy New Year!We sincerely call for your submissions to the Special Issue on "Modeling and Data Analytics in Manufacturing and Supply Chain Operations" at Flexible Services and Manufacturing Journal. The deadline for submission is January 31, 2020. Please see the submission details on the attached CFP.
This special issue invites researchers to contribute state-of-the-art research in the general area of using data analytics to improve the efficiency of optimization algorithms. The data analytics are broadly defined here to include quantitative methods in machine learning, data mining, predictive analytics, and simulation-based analytics. We also welcome newly emerging areas in operations. Both theoretical and applied research are welcome, as long as the improved efficiency is rigorously proved or computationally shown. The special issue includes, but not limited to, the following topics.
- Design of manufacturing system and supply chain
- Production planning and control
- Supply chain networks (e.g., using real-time data)
- Manufacturing and supply chain predictive tools
- Inventory control and management (e.g., using sensing data)
- Dynamic resource allocation
- Improving forecasting models using big data
- Machine learning techniques for process control
- Supply chain risk control
- Optimizing systems based on predictive information (e.g., predictive maintenance)
- Newly emerging areas in operations, such as service operations
- Combining optimization and machine learning algorithms
- Simulation-based modeling and optimization for stochastic systems
If there are any questions, please feel free to reach out the guest editors:
We thank you in advance for your consideration, and look forward to receiving your submission!
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Weiwei Chen, Ph.D.
Associate Professor
Department of Supply Chain Management
Rutgers Business School – Newark and New Brunswick
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