Uncertain Environment of Enterprise Alliance in Supply Chain Network Optimization

According to the actual situation of the enterprise alliance of supply chain networks and considering the complexity of the various links in the supply chain of uncertain factors, it should be take a solution on decomposition strategy - coordination of the supply chain system optimization and focus...

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Main Authors: Qiong, Sun (Author), Runxiang, Long (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2014-03-01.
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042 |a dc 
100 1 0 |a Qiong, Sun  |e author 
100 1 0 |e contributor 
700 1 0 |a Runxiang, Long  |e author 
245 0 0 |a Uncertain Environment of Enterprise Alliance in Supply Chain Network Optimization 
260 |b Institute of Advanced Engineering and Science,   |c 2014-03-01. 
520 |a According to the actual situation of the enterprise alliance of supply chain networks and considering the complexity of the various links in the supply chain of uncertain factors, it should be take a solution on decomposition strategy - coordination of the supply chain system optimization and focus on the supply cost analysis facility decision on supplier selection and cost, the two a problem of coordination through the integration of activity-based costing. Then establish the supply chain network design of robust model. Finally, using stochastic simulation method and the particle swarm algorithm based on hybrid intelligent algorithm for solving the robust optimal solutions of the model, and an example is used to demonstrate the feasibility and effectiveness of the model and algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4510 
540 |a Copyright (c) 2013 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a Supply Chain, Uncertainty, Robust Model, The Hybrid Intelligent Algorithm 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 3: March 2014; 2127-2132 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3237/1391 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3237/1391  |z Get fulltext