Smart Service Technology for Industrial Applications, 3rd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 November 2025) | Viewed by 1189
Special Issue Editors
Interests: statistical process control; fuzzy decision making; quality management; process capability analysis; six sigma; service management
Special Issues, Collections and Topics in MDPI journals
Interests: reliability engineering; software reliability; statistical inferences; fault-tolerant computing
Special Issues, Collections and Topics in MDPI journals
Interests: lean management; operations strategy; decision making; supply chain risk management
Special Issues, Collections and Topics in MDPI journals
Interests: international business and business organization
Special Issues, Collections and Topics in MDPI journals
Interests: reliability; maintenance; multi-state systems; optimization; quality control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As technologies associated with the Internet of Things (IoT) have gradually matured, the measurement and analysis of production data have continued to advance, enabling the collection of big production data. Effective data analysis and application can enhance manufacturing and management technologies, which not only accelerate the development of intelligent manufacturing for Industry 4.0, but are also conducive to the improvement of process quality. In addition, the rapid development of and advances in emerging technologies, such as the Internet of Things, big data, and artificial intelligence, have fostered innovation and high levels of competition in various industries around the world. Many manufacturing companies are becoming more service oriented to offer new, innovative value offerings such as smart services. Smart services are a new type of digital service that use and combine the ever-growing amount of internal and external data of industrial companies to create individual solutions for customers. Smart services offer various new possibilities for manufacturing industries. In view of this, this Special Issue focuses on the latest developments and applications of smart service management for industrial applications. We invite researchers to contribute original research articles, as well as review articles, to this Special Issue. The topics of this Special Issue include, but are not limited to, the following:
- Smart service technology;
- Manufacturing service technology;
- Digital services;
- Internet of Things;
- Big data;
- Artificial intelligence applications;
- Machine learning and deep learning;
- Fuzzy applications in smart service technology;
- Smart service quality evaluation;
- Smart service performance evaluation;
- Statistical production data analysis;
- Statistical decision-making.
Prof. Dr. Kuen-Suan Chen
Prof. Dr. Hoang Pham
Prof. Dr. Kimhua Tan
Dr. Leanne Chung
Prof. Dr. Shey-Huei Sheu
Guest Editors
Manuscript Submission Information
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Keywords
- statistical inferences
- fuzzy decision making
- quality management
- process capability analysis
- six sigma
- reliability engineering
- reliability analysis
- stochastic proces
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