DocumentCode :
3272640
Title :
Analyzing a stochastic inventory system for deteriorating items with stochastic lead time using simulation modeling
Author :
Alizadeh, Mohammadmahdi ; Eskandari, Hamidreza ; Sajadifar, S. Mehdi ; Geiger, Christopher D.
Author_Institution :
Sch. of Ind. Eng., Tarbiat Modares Univ., Tehran, Iran
fYear :
2011
fDate :
11-14 Dec. 2011
Firstpage :
1645
Lastpage :
1657
Abstract :
We consider an inventory system for continuous decaying items with stochastic lead time and Poisson demand. Shortage is allowed and all the unsatisfied demands are backlogged. Moreover, replenishment is one for one. Our objective is to minimize the long-run total expected cost of the system. Firstly, we have developed the mathematical model with deterministic lead time. Since the stochastic lead time makes the model complex especially when lead time has complicated probability distribution and it is difficult to prove convexity of the objective function, we have applied simulation modeling approach. The simulation model has no limitation on lead time or any other parameters. The simulation model is validated by comparing its outputs and analytical model´s results for the deterministic lead time case. Furthermore, we use optimizer module of the applied software to find near optimal solutions for a number of examples with stochastic lead time.
Keywords :
inventory management; statistical distributions; stochastic processes; Poisson demand; continuous decaying items; deteriorating items; deterministic lead time; mathematical model; objective function convexity; probability distribution; simulation modeling; stochastic inventory system; stochastic lead time; Analytical models; Educational institutions; Exponential distribution; Industrial engineering; Mathematical model; Software; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2011 Winter
Conference_Location :
Phoenix, AZ
ISSN :
0891-7736
Print_ISBN :
978-1-4577-2108-3
Electronic_ISBN :
0891-7736
Type :
conf
DOI :
10.1109/WSC.2011.6147881
Filename :
6147881
Link To Document :
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