Neuro-Fuzzy Model of Reliability Evaluation of the Sales Planning
- Resource Type
- Conference
- Authors
- Yudin, P.V.; Grinyak, V.M.
- Source
- 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) Industrial Engineering and Modern Technologies (FarEastCon), 2020 International Multi-Conference on. :1-4 Oct, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Planning
Reliability
Training
Reliability engineering
Fuzzy neural networks
Stability analysis
Market research
sales management
purchase management
reliability planning
neuro-fuzzy
neuro-fuzzy model
- Language
The article is devoted to the application of the theory of fuzzy sets and neural networks to evaluate the degree of reliability in purchases and sales planning. Moreover, this article describes the model of separation of reliability levels depending on the sales stability, correctness of the selected interval and frequency of planning. The stability of sales is a key indicator allowing manager to decide about carrying out planning “by hand”. Automatic planning of purchases for future periods is possible if the sales for the prior period are stable. The result is a description of the configuration of a neuro-fuzzy network, in order to make a decision about the level of planning reliability. During this study the neuro-fuzzy network is trained on real sales data from a large trade and purchasing enterprise.