Title :
A Markov model for supply planning of assembly systems
Author :
Ould-Louly, M.A. ; Dolgui, A.
Author_Institution :
Ind. Syst. Optimization Lab., Univ. of Technol. of Troyes, France
Abstract :
We study the assembly systems with one type of finished products and several types of components. The lead times of components are random variables, and the finished product demand is constant. We proposed a Markov chain that enables the determination of system performance measures such as average holding cost and backlogging cost. We show how to exploit the Markov chain results to obtain optimal supply planning of this type of assembly systems. The used criteria is the sum of average holding cost for the components and average backlogging cost for the finished product
Keywords :
Markov processes; assembling; optimisation; stock control; Markov chain; Markov model; assembly systems; average backlogging cost; average holding cost; component lead times; optimal supply planning; random variables; supply planning; system performance measure determination; Assembly systems; Cost function; Demand forecasting; Industrial engineering; Mass production; Procurement; Production planning; Random variables; Raw materials; System performance;
Conference_Titel :
Assembly and Task Planning, 2001, Proceedings of the IEEE International Symposium on
Conference_Location :
Fukuoka
Print_ISBN :
0-7803-7004-X
DOI :
10.1109/ISATP.2001.929039
