scholarly journals On the optimal ordering policy of a dual-sourcing system considering stochastic supply disruption together with stochastic ordering yield

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Chirakiat Saithong ◽  
Wipha Rukanna
Keyword(s):  
Stochastic Ordering ◽  
Supply Disruption ◽  
Dual Sourcing ◽  
Ordering Policy ◽  
Optimal Ordering Policy ◽  
Optimal Ordering

Formulation of an optimal ordering policy with generalised time-dependent demand, quadratic holding cost and partial backlogging

2021 ◽  
Vol 42 (5) ◽  
pp. 1163-1179
Author(s):  
Prachi Swain ◽  
Chittaranjan Mallick ◽  
Trailokyanath Singh ◽  
Pandit Jagatananda Mishra ◽  
Hadibandhu Pattanayak
Keyword(s):  
Time Dependent ◽  
Partial Backlogging ◽  
Ordering Policy ◽  
Holding Cost ◽  
Optimal Ordering Policy ◽  
Optimal Ordering ◽  
Dependent Demand

Retail Ordering Policy Risk

2017 ◽  
pp. 197-225
Keyword(s):  
Simulation Models ◽  
Stochastic Optimisation ◽  
Control Stage ◽  
Ordering Policy ◽  
Stochastic Techniques ◽  
Ordering Policies ◽  
Optimal Ordering Policy ◽  
Policy Risk ◽  
Associated Risk Factors ◽  
Optimal Ordering

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.

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