Inventory Control for a Manufacturing System under Uncertainty: Adaptive Approach

作     者：Azarskov V.N. Zhiteckii L.S. Solovchuk K.Y. Sushchenko O.A. Lupoi R.O. 

作者机构：National Aviation University Kiev 03058 Ukraine Int. Centre of Inform. Technologies & Systems Institute of Cybernetics MSP Kiev 03680 Ukraine 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2017年第50卷第1期

页      面：10154-10159页

主　　题：Adaptation estimation algorithms identifiers inventory control production planning scheduling uncertainty 

摘      要：This paper deals with controlling the in-process inventories for the manufacturing system of a typical machine-building enterprise which includes the machining, the transport, the storage bunker and the assembly line. The decision-making is implemented under uncertainty associated with the absence of exact machining model assuming that machine failures are also possible. To cope with this uncertainty, the adaptive control approach is proposed. Within this approach, a new adaptive reorder policy which makes it possible to improve the performance of the inventory control system is developed. Simulation experiments are conducted to demonstrate the advantage of this policy. © 2017