Title :
A Study on Stability of Closed-Loop Supply Chain Based on Markov Chain
Author :
Yin Xiangzhou ; Tian Xinwei ; Chen Yun
Author_Institution :
Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
Abstract :
There are a large number of uncertain factors when the closed-loop supply chain works. For the internal closed-loop supply chain, as we can see in accordance with the process of forward and reverse are marked Markov and stability of the closed-loop supply chain is evaluated. For the whole course closed-loop supply chain, by calculating the transition probability between the different modes, we can get probability at the limit state, that is the long-term selection probability in each cooperate mode, and we can get the long-term stable cooperation mode in the closed-loop supply chain.
Keywords :
Markov processes; closed loop systems; probability; risk management; stability; supply chains; Markov chain; closed-loop supply chain stability; forward process; long-term selection probability; reverse process; transition probability; uncertain risk assessment; Fluctuations; Joints; Markov processes; Probability; Stability analysis; Supply chains;
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
DOI :
10.1109/ICMSS.2010.5575601