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Journal of Applied Mathematics and Computation

Special Issue

Special Issue “Transforming the Manufacturing Industry: Innovations, Challenges, and Future”

Efficient and reliable process monitoring is of paramount importance in the manufacturing industry. Accurate monitoring of production processes enables manufacturers to optimize productivity, ensure product quality, minimize waste, and enhance overall operational efficiency. In recent years, sensor technologies, data analytics, and artificial intelligence advancements have revolutionized process monitoring, offering unprecedented opportunities for real-time control, predictive maintenance, and continuous improvement. This special issue aims to explore the latest developments, applications, and challenges associated with process monitoring tools in the manufacturing industry.

The overarching theme of this special issue is to showcase the advancements in process monitoring tools and their impact on various aspects of the manufacturing industry. The focus is on providing insights into cutting-edge technologies, methodologies, and case studies that demonstrate the potential and effectiveness of process monitoring tools in optimizing manufacturing processes, ensuring product quality, and enabling proactive decision-making.

Potential topics included, but not limited to:

1.Sensor technologies for process monitoring in manufacturing

2.Data analytics and machine learning for real-time control and predictive maintenance

3.Case studies on the implementation of process monitoring tools in manufacturing plants

4.Challenges and opportunities associated with the adoption of process monitoring tools in the manufacturing industry

5.Integration of process monitoring tools with other Industry 4.0 technologies such as robotics and automation

6.Human factors and the role of operators in process monitoring

7.Cybersecurity considerations for process monitoring in manufacturing

8.Impact of process monitoring on sustainability and environmental performance in manufacturing

9.Future perspectives and emerging trends in process monitoring for the manufacturing industry.

Guest Editor(s)

Dr. Tahir Abbas

Department of mathematics, University of Sharjah, UAE.

Topics of Interest:
Sensor Technologies for Process Monitoring
Data Analytics and Machine Learning for Process Monitoring
Process Monitoring in Smart Manufacturing Environments
Intelligent Fault Diagnosis and Predictive Maintenance
Real-time Quality Control and Defect Detection
Human-Machine Interaction in Process Monitoring
Case Studies and Industrial Applications

Manuscript Submission Information

Authors should submit their manuscripts for the special issue by emailing them as an attachment to specialissue@hillpublish.com or by using the online submission system. The manuscript should be submitted by one of the authors, and submissions by anyone other than the authors will not be accepted. Additionally, the submitted manuscript should include a cover letter that specifies the special issue to which the manuscript is being submitted.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). The submitted papers should be properly formatted and written in fluent English. All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Guidelines page.

Deadline for manuscript submissions

December 31, 2023

List of Publications in This Special Issue