Title :
Inventory model optimization by considering different modelling strategies for defective percentage
Author :
Li, Qunxia ; Zhang, Qun
Author_Institution :
School of Economics and Management, University of Science and Technology Beijing, Beijing, China
Abstract :
The paper provides an inventory model, by allowing defective items and completely shortage backordering and investigates the features of the inventory model by modeling the defective percentage as the crisp number, the random variable and the fuzzy number, respectively. The optimization algorithms are developed and the optimum solutions in three modelling cases are given respectively. Finally, the numerical examples are illustrated the features of the model and quantitative comparisons are performed.
Keywords :
Biological system modeling; Industrial economics; Mathematical model; Numerical models; Production; Random variables; Backorder; Defective percentage; Inventory; Shortage quantity;
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
DOI :
10.1109/ICEBEG.2011.5877023
