A neural network approach for smoothing and categorizing noisy data
Computers in Industry
Neural network applications in business: a review and analysis of the literature (1988-95)
Decision Support Systems
Implementation of fuzzy logic systems and neural networks in industry
Computers in Industry
Computers in Industry - special issue ASI'94 selection of papers presented at the advanced summer institute “computer integrated manufacturing and industrial automation” Patras, Greece, 26 June—1 July 1994
Neural network applications in finance: a review and analysis of literature (1990-1996)
Information and Management
Fuzzy neural networks with application to sales forecasting
Fuzzy Sets and Systems
A bibliography of neural network business applications research: 1994–1998
Computers and Operations Research - Neural networks in business
Agent-based demand forecast in multi-echelon supply chain
Decision Support Systems
Improved supply chain management based on hybrid demand forecasts
Applied Soft Computing
Supply chain integration in vendor-managed inventory
Decision Support Systems
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Intelligent profitable customers segmentation system based on business intelligence tools
Expert Systems with Applications: An International Journal
Intelligent supply chain management using adaptive critic learning
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy classification using the data envelopment analysis
Knowledge-Based Systems
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This paper proposes a methodology for supply chain (SC) integration from customers to suppliers through warehouses, retailers, and plants via both adaptive network based fuzzy inference system and artificial neural networks approaches. The methodology presented provides this integration by finding the requested supplier capacities using the demand and order lead time information across the whole SC in an uncertain environment. The SC structure is investigated stage by stage. The sensitivity analysis is made by comparing the obtained results with the traditional statistical techniques. A company serving in durable consumer goods industry that produces consumer electronics in Istanbul, Turkey was examined to demonstrate the applicability of the proposed methodology.