Optimal ordering policies with two suppliers when lead times and demands are all stochastic

1993 ◽  
Vol 68 (1) ◽  
pp. 120-133 ◽  
Author(s):  
Hon-Shiang Lau ◽  
Long-Geng Zhao
2007 ◽  
Vol 176 (2) ◽  
pp. 892-910 ◽  
Author(s):  
Guillermo Gallego ◽  
Yue Jin ◽  
Ana Muriel ◽  
Ge Zhang ◽  
V. Taylan Yildiz

2014 ◽  
Vol 10 (4) ◽  
pp. 1147-1168 ◽  
Author(s):  
Xiaoming Yan ◽  
◽  
Minghui Zhang ◽  
Ke Liu ◽  
Yong Wang ◽  
...  

The method is applied to Retail Ordering Policy to manage the associated risk. DMAIC framework applies stochastic techniques. Stochastic optimisation determines the optimal retail ordering policies to maximise profit. Simulate every determined optimal ordering policy and calculate profits, risks, and Six Sigma metrics to measure against specified target limits. Analyse simulation results and identify and quantify the main contributors to the profits variability by using sensitivity analysis. The optimal retail ordering policies are ranked based on their profits and associated risk factors. The technically best optimal retail ordering policy is recommended to the management for implementation. Control stage is elaborated by reusing the data and presented stochastic optimisation and simulation models for ongoing management of the optimal strategy. Some changes are applied to the data and models however, in order to emulate the scenario of an implemented strategy.


1981 ◽  
Vol 21 (5) ◽  
pp. 737-741 ◽  
Author(s):  
S. Kalpakam ◽  
M.A. Shahul Hameed
Keyword(s):  

2009 ◽  
Vol 18 (5) ◽  
pp. 546-559 ◽  
Author(s):  
Alain Bensoussan ◽  
Metin Çakanyιldιrιm ◽  
Qi Feng ◽  
Suresh P. Sethi

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