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2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application
A Stochastic Constrained Programming Approach for Vendor Selection Problem
December 19-December 20
ISBN: 978-0-7695-3490-9
| ASCII Text | x | ||
| Fang Wu, Changxi Ma, Rong Lu, "A Stochastic Constrained Programming Approach for Vendor Selection Problem," Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE, vol. 1, pp. 959-962, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/PACIIA.2008.301, author = {Fang Wu and Changxi Ma and Rong Lu}, title = {A Stochastic Constrained Programming Approach for Vendor Selection Problem}, journal ={Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE}, volume = {1}, year = {2008}, isbn = {978-0-7695-3490-9}, pages = {959-962}, doi = {http://doi.ieeecomputersociety.org/10.1109/PACIIA.2008.301}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE TI - A Stochastic Constrained Programming Approach for Vendor Selection Problem SN - 978-0-7695-3490-9 SP959 EP962 A1 - Fang Wu, A1 - Changxi Ma, A1 - Rong Lu, PY - 2008 KW - vendor selection problem KW - multi-objective programming KW - stochastic chance constrained programming KW - hybrid intelligent algorithm KW - stochastic simulation KW - neural networks KW - genetic algorithm VL - 1 JA - Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE ER - | |||
The new approach for vendor selection problem was established under the stochastic environment. After establishing the traditional multi-objective programming model, through minimizing the optimistic value of the net cost of the total order quantity, rejected quantity and late delivered quantity, the multi-objective stochastic constrained integer programming model was established based on the stochastic chance constrained programming theory, then a hybrid intelligent algorithm was designed by integrating the stochastic simulation, neural networks and genetic algorithm. The numerical example confirms the model is rational and the algorithm is valid. The stochastic constrained programming approach is feasible. It can solve the vendor selection problem.
Index Terms:
vendor selection problem, multi-objective programming, stochastic chance constrained programming, hybrid intelligent algorithm, stochastic simulation, neural networks, genetic algorithm
Citation:
Fang Wu, Changxi Ma, Rong Lu, "A Stochastic Constrained Programming Approach for Vendor Selection Problem," paciia, vol. 1, pp.959-962, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
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