Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
The strategic design and development of the ERP and RTMS
Computers and Industrial Engineering
A case study in the design of BTO/CTO shop floor control system
Information and Management
Hybrid multi-agent architecture as a real-time problem-solving model
Expert Systems with Applications: An International Journal
Diagnosability study for quality improvement based on distributed sensing and information technology
International Journal of Computer Applications in Technology
Expert Systems with Applications: An International Journal
The design of a fuzzy system shell using a database approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
In many manufacturing processes, real-time information can be obtained from process control computers and other monitoring devices. However, production control problems are frequently accompanied by certain and uncertain conditions. Problems with uncertainty conditions generally include difficulty in identifying an optimal solution in real-time using conventional mathematical approaches. This study presents a fuzzy logic approach for decision-making of maintenance. Some linguistic variables and rules-of-thumb are used to form the fuzzy logic models, based on the domain experts' experiences in production line and maintenance department. The historical production data are used to train and tune the fuzzy models. The tuned fuzzy models are then embedded into an internet-based and event-oriented information system as fuzzy agent. The production controller can easily make suitable production control decisions based on the inference results of fuzzy agents to satisfy the quick response requirement.