DocumentCode :
3241347
Title :
Cooperative Supply Chain management using a Grid-based optimizer
Author :
Sepehri, Mehran ; Najmi, Manoochehr ; Fayazbakhsh, Kaveh
Author_Institution :
Grad. Sch. of Manage. & Econ., Sharif Univ. of Technol., Tehran, Iran
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
1300
Lastpage :
1305
Abstract :
A cooperative supply chain seeks to coordinate its members to produce and distribute products along the chain, for minimum overall costs to satisfy customer demand. An integrated multi-period, multiple product and multiple stage supply chain is formulated using a flow networks framework. A Cooperative Supply Chain Optimizer (CSCO), as a central software entity taking advantage of Grid technology, connects and gathers necessary operational information from members of the corporate supply chain. The CSCO then guides supply chain members on ordering decisions, for a minimum overall cost of the entire supply chain, while continuously re-directing the members as new data becomes available. The system has been implemented in a cooperative supply chain, with a diverse and dynamic set of member systems connecting to the Grid, with an approximately 26% reduction in total costs of the supply chain.
Keywords :
customer satisfaction; grid computing; production engineering computing; supply and demand; supply chain management; central software entity; cooperative supply chain management; cooperative supply chain optimizer; customer demand satisfaction; flow networks framework; grid based optimizer; integrated multiperiod multiple product multiple stage supply chain; operational information; Adaptation model; Analytical models; Computational modeling; Genetics; Numerical models; Supply chains; Cooperative Supply Chain; Grid Optimizer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
Type :
conf
DOI :
10.1109/ICIEEM.2010.5645993
Filename :
5645993
Link To Document :
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