Title :
Multi-objective Optimization on Supply Chain Based on Stochastic Flow Network
Author :
Qiang, Liu ; Wenke, Zang
Author_Institution :
Sch. of Inf. Manage., Shandong Economic Univ., Jinan, China
Abstract :
We describe a kind of supply chain optimization problem as a commodity stream routing problem upon a stochastic flow network. We divide the optimization problem to two parts: Firstly, establish model to calculate the optimal commodity stream allocation policy on all minimal paths; secondly, convert these allocation policy on all minimal paths to the optimal routing policy on all arcs. A multi-objective genetic algorithm based stochastic simulation is proposed to solve the established model. We analyze the computational complexity of proposed algorithm and test it by examples in various sizes.
Keywords :
genetic algorithms; logistics; optimisation; supply chains; commodity stream routing; computational complexity; genetic algorithm; minimal path; multiobjective optimization; stochastic flow network; supply chain; Computational modeling; Computer networks; Cost function; Genetic algorithms; Logistics; Manufacturing; Routing; Stochastic processes; Supply and demand; Supply chains; multi-objective optimization; optimization of supply chain; stochastic flow network; stochastic simulation;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.378
