Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment

• Published in: Complexity (New York, N.Y.) Vol. 2020; no. 2020; pp. 1 - 10
• Main Authors: Ge, Jianqiao, Zhang, Songtao
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 29.07.2020; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Accuracy; Adaptive control; Analysis; Artificial neural networks; Computer simulation; Control algorithms; Control theory; Controllers; Fuzzy control; Fuzzy logic; Fuzzy sets; Inventory; Inventory control; Inventory management; Laplace transforms; Laws, regulations and rules; Mathematical models; Methods; Neural networks; Supply chains; Tracking

In order to achieve the actual inventory effectively tracking the target inventory under uncertain environment, this paper investigates an adaptive inventory controller for the production-inventory system. First, an uncertain production-inventory model is constructed, and then, the uncertainty of th...