Introduction to Grey system theory
The Journal of Grey System
Fundamentals of neural networks: architectures, algorithms, and applications
Fundamentals of neural networks: architectures, algorithms, and applications
Neurofuzzy adaptive modelling and control
Neurofuzzy adaptive modelling and control
Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Value of Information in Capacitated Supply Chains
Management Science
Decentralized supply chains subject to information delays
Management Science
Business Dynamics
Fuzzy Sets Engineering
Supply Chain Inventory Management and the Value of Shared Information
Management Science
An adaptive tool-based telerobot control system
An adaptive tool-based telerobot control system
Fuzzy Applications in Industrial Engineering (Studies in Fuzziness and Soft Computing)
Fuzzy Applications in Industrial Engineering (Studies in Fuzziness and Soft Computing)
Information Distortion in a Supply Chain: The Bullwhip Effect
Management Science
The effects of fuzzy forecasting models on supply chain performance
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Fuzzy forecasting applications on supply chains
WSEAS TRANSACTIONS on SYSTEMS
Expert Systems with Applications: An International Journal
Fuzzy time series-based trajectory estimation of a moving object
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
A fuzzy prediction based trajectory estimation
WSEAS TRANSACTIONS on SYSTEMS
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Demand forecasting and decision making processes are among the key activities which directly affect the performance of successful supply chain networks. The variability of the demand information between the stages of the supply chains and the increase in this variability as the demand data moves upstream from the customer to consequent stages of the supply chain networks is called Bullwhip Effect. As demand pattern varies due to the field of activity and architecture of supply chains networks, determining the appropriate forecasting and order decision model for system interested in is complicated. This paper analyzes the response of bullwhip effect to a hybrid grey GM (1, 1) forecasting and ANFIS based order decision model under demand with relatively medium variation in a two stage supply chain network simulation.