Inventory Control Model for Mobile Supply Chain Management

Author

LI, Jizi ; Guo, Peiling ; Zuo, Zhijun

Author_Institution

Sch. of Econ. & Manage., Wuhan Univ. of Sci. & Eng., Wuhan

fYear

2008

fDate

29-31 July 2008

Firstpage

459

Lastpage

463

Abstract

Uncertainties inherent in customer demands make it difficult for mobile supply chains to achieve JIT inventory replenishment, resulting in loosing sales opportunities or keeping excessive chain-wide inventories. In this paper, we propose a inventory-control model for a mobile supply chain through using a reinforcement learning technique, the control parameters are designed to change as customer demand patterns changes, A simulation-based experiment was performed to investigate the performance of the inventory control model.

Keywords

just-in-time; learning (artificial intelligence); stock control; supply chain management; JIT inventory replenishment; customer demand patterns; inventory control model; mobile supply chain management; reinforcement learning technique; Environmental economics; Inventory control; Inventory management; Learning; Marketing and sales; Safety; Supply chain management; Supply chains; Transportation; Uncertainty; inventory control; mobile supply chain; reinforcement learning; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Embedded Software and Systems Symposia, 2008. ICESS Symposia '08. International Conference on

Conference_Location

Sichuan

Print_ISBN

978-0-7695-3288-2

Type

conf

DOI

10.1109/ICESS.Symposia.2008.85

Filename

4627204