Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment
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...
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Online Access: | http://dx.doi.org/10.1155/2020/6190936 |
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doaj-56343d5abbe742ae9ca55600fcbbd00b2020-11-25T03:07:54ZengHindawi-WileyComplexity1076-27871099-05262020-01-01202010.1155/2020/61909366190936Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain EnvironmentJianqiao Ge0Songtao Zhang1School of Management, Harbin University of Commerce, Harbin 150028, ChinaSchool of Logistics, Linyi University, Linyi 276005, ChinaIn 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 the production-inventory model is approximated by a fuzzy neural network. Secondly, in terms of the design of adaptive control law, the adaptive inventory controller is developed. Under the adaptive inventory controller, the actual inventory can track the target inventory in real time and the production-inventory system can be robustly stable in uncertain environment. Finally, the results of three simulation experiments show that the proposed adaptive inventory controller can realize both the fast tracking speed and the high tracking accuracy.http://dx.doi.org/10.1155/2020/6190936 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jianqiao Ge Songtao Zhang |
spellingShingle |
Jianqiao Ge Songtao Zhang Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment Complexity |
author_facet |
Jianqiao Ge Songtao Zhang |
author_sort |
Jianqiao Ge |
title |
Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment |
title_short |
Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment |
title_full |
Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment |
title_fullStr |
Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment |
title_full_unstemmed |
Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment |
title_sort |
adaptive inventory control based on fuzzy neural network under uncertain environment |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1076-2787 1099-0526 |
publishDate |
2020-01-01 |
description |
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 the production-inventory model is approximated by a fuzzy neural network. Secondly, in terms of the design of adaptive control law, the adaptive inventory controller is developed. Under the adaptive inventory controller, the actual inventory can track the target inventory in real time and the production-inventory system can be robustly stable in uncertain environment. Finally, the results of three simulation experiments show that the proposed adaptive inventory controller can realize both the fast tracking speed and the high tracking accuracy. |
url |
http://dx.doi.org/10.1155/2020/6190936 |
work_keys_str_mv |
AT jianqiaoge adaptiveinventorycontrolbasedonfuzzyneuralnetworkunderuncertainenvironment AT songtaozhang adaptiveinventorycontrolbasedonfuzzyneuralnetworkunderuncertainenvironment |
_version_ |
1715298168238768128 |