Expert Systems
A knowledge-based decision support system for the management of parts and tools in FMS
Decision Support Systems
Rubber tired gantry crane deployment for container yard operation
Computers and Industrial Engineering
A decision support system for operations in a container terminal
Decision Support Systems
Designing a knowledge-based system for strategic planning: A balanced scorecard perspective
Expert Systems with Applications: An International Journal
International Journal of Computer Applications in Technology
A berth allocation strategy using heuristics algorithm and simulation optimisation
International Journal of Computer Applications in Technology
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Knowledge-Based System to Support Emergency Medical Services for Disabled Patients
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Rough sets based association rules application for knowledge-based system design
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
A decomposition method to analyze the performance of frame bridge based automated container terminal
Expert Systems with Applications: An International Journal
Advanced Engineering Informatics
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To resolve the problems of operational efficiency, energy consumption and operational cost of an entire container terminal, the yard crane scheduling secures a crucial position during terminal operational process. Accordingly, it is imperative to develop an efficient yard crane scheduling strategy. In this study, the knowledge acquisition was initially conducted. Subsequently, a knowledge sorting process, including the taxonomic tree generation and organization of acquired knowledge, was completed. Afterwards, the rules were extracted for the purpose of yard crane scheduling. Furthermore, a mechanism was deployed for knowledge reasoning. Consequently, a knowledge-based system was established with regard to yard crane scheduling. To this end, a case study was used to illustrate the proposed knowledge-based system.