A case-based approach using inductive indexing for corporate bond rating
Decision Support Systems - Decision-making and E-commerce systems
Refining Initial Points for K-Means Clustering
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
A case-based reasoning framework for workflow model management
Data & Knowledge Engineering - Special issue: Advances in business process management
Efficiency and effectiveness of query processing in cluster-based retrieval
Information Systems
Cross-border logistics with fleet management: a goal programming approach
Computers and Industrial Engineering
Learning adaptation knowledge to improve case-based reasoning
Artificial Intelligence
Expert Systems with Applications: An International Journal
Cluster-based patent retrieval
Information Processing and Management: an International Journal
A genetic algorithm that exchanges neighboring centers for k-means clustering
Pattern Recognition Letters
A recommender system using GA K-means clustering in an online shopping market
Expert Systems with Applications: An International Journal
A fuzzy case-based reasoning model for sales forecasting in print circuit board industries
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Order-batching methods for an order-picking warehouse with two cross aisles
Computers and Industrial Engineering
Order picking plan to maximize the order fill rate
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
A temporal case retrieval model to predict railway passenger arrivals
Expert Systems with Applications: An International Journal
A genetic algorithm with gene rearrangement for K-means clustering
Pattern Recognition
Loss and gain functions for CBR retrieval
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A method of learning weighted similarity function to improve the performance of nearest neighbor
Information Sciences: an International Journal
Design of a RFID case-based resource management system for warehouse operations
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
A RFID-based Resource Allocation System for garment manufacturing
Expert Systems with Applications: An International Journal
A real-time risk control and monitoring system for incident handling in wine storage
Expert Systems with Applications: An International Journal
An application of case-based reasoning with machine learning for forensic autopsy
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
The decision-making process is one of the complicated processes involved in warehouse operation for efficiently fulfilling various specific customer orders. This is especially true if the orders require cross-border delivery activities, such as palletization of the delivery goods according to regulation requirements. Case-based reasoning is an intelligent method for complex problem solving that uses past cases to find a solution to new problems. To achieve an appropriate solution, retrieving useful prior cases effectively for the problem is essential. However, current case retrieval methods are mainly based on a fixed set of attributes for different type of orders in which specific order features for case groups are neglected. In this paper a hybrid approach called the case-genetic algorithm-based decision support model (C-GADS), is proposed in classifying new customer orders into case groups with the highest similarity value, allowing for effectively selecting the most similar cases among the group. The proposed model also suggests the types of features considered in each case group. It helps enhance the effectiveness of formulating warehouse order operations based on grouping similar cases. To validate the feasibility of the proposed model, a case study is conducted and the results show that planning effectiveness is enhanced.