Fuzzy Applications in Industrial Engineering
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Fuzzy Sets, Systems and Decision Making".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 59330
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: statistical fuzzy methodology; statistical process control; process quality analysis; six sigma methodology and applications
Special Issues, Collections and Topics in MDPI journals
Interests: statistical fuzzy methodology; statistical process control; process quality analysis; six sigma methodology and applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues
Industrial engineering (IE) is concerned with the design, improvement, and installation of integrated systems of people, material, equipment, and energy. Industrial engineers are concerned with reducing production costs, increasing efficiency, and improving the quality of products and services. Fuzzy set approaches are usually most appropriate when human evaluations and the modeling of human knowledge are needed. IE uses a significant number of applications of fuzzy set theory.
The purpose of this Special Issue is to gather a collection of articles reflecting the latest developments in different fields of industrial engineering by applying fuzzy theory for control and reliability, manufacturing systems and technology management, optimization techniques, quality management, process capability analysis, statistical decision-making, and others.
Prof. Dr. Kuen-Suan ChenProf. Dr. Chun-Min Yu
Prof. Dr. Tsang-Chuan Chang
Guest Editors
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Keywords
- Fuzzy Applications
- Fuzzy Control and Reliability
- Fuzzy Manufacturing Systems
- Fuzzy Optimization Techniques
- Fuzzy Service Performance Evaluation
- Fuzzy Process Capability Analysis
- Fuzzy Statistical Decision-making
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