Simple solution procedures for a class of two-echelon inventory problems
Operations Research
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Neural networks: algorithms, applications, and programming techniques
Neural networks: algorithms, applications, and programming techniques
Expert systems applications in engineering and manufacturing
Expert systems applications in engineering and manufacturing
Introduction to Artificial Neural Systems
Introduction to Artificial Neural Systems
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Optimal Policies for a Capacitated Two-Echelon Inventory System
Operations Research
Neuro-fuzzy rule generation: survey in soft computing framework
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
Pricing decisions with retail competition in a fuzzy closed-loop supply chain
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An experience-based system supporting inventory planning: A fuzzy approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Solution of fuzzy integrated production and marketing planning based on extension principle
Computers and Industrial Engineering
| Hi-index | 12.06 |
In this paper, for effective multi-echelon supply chains under stochastic and fuzzy environments, an inventory management framework and deterministic/stochastic-neuro-fuzzy cost models within the context of this framework are structured. Then, a numerical application in a three-echelon tree-structure chain is presented to show the applicability and performance of proposed framework. It can be said that, by our framework, efficient forecast data is ensured, realistic cost titles are considered in proposed models, and also the minimum total supply chain cost values under demand, lead time and expediting cost pattern changes are presented and examined in detail.