Tehnički vjesnik, Vol. 33 No. 3, 2026.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20250525002698
An Intelligent Purchasing Decision Model for Railway Wagon Components Using a Markov Decision Process
Shuo Zhang
; School of Economics and Management, Beijing Jiaotong University, Haidian, 100044, China
Chen Li
; Energy Railway Equipment CO., LTD, China
Hao Hua
; Energy Railway Equipment CO., LTD, China
Ping Gao
; Energy Railway Equipment CO., LTD, China
Wenzhuo Wang
; China Merchants Bank Co., Limited Jinan Branch, 250010, China
Qiuli Qin
; School of Economics and Management, Beijing Jiaotong University, Haidian, 100044, China
*
* Dopisni autor.
Sažetak
Overcoming the inefficiency in the procurement of railway wagon components is a crucial step in promoting the modernization of railway enterprises' governance capabilities. This study formulates components purchasing for railway wagon as a two-stage Markov Decision Process (MDP) that jointly optimizes planned purchase quantities and supplier selection. Inputs to the MDP (demand signals and inventory) are treated as pre-processed operational forecasts from the enterprise data platform; the paper therefore focuses on the design of state/action spaces, reward construction, and the value-iteration solution for producing actionable purchasing decision. Using real business records from a large railway equipment group, simulation results demonstrate that the MDP-based decision reduces total purchasing cost, shortens purchasing lead time, and improves supplier quality metrics compared with legacy manual strategies.
Ključne riječi
Markov decision process; purchasing decision; railway wagon condition-based maintenance; smart purchase
Hrčak ID:
346710
URI
Datum izdavanja:
30.4.2026.
Posjeta: 0 *