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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alizadeh, Mohammad Mahdi Eskandari, Hamidreza Sajadifar, S. Mehdi |
| Copyright Year | 2010 |
| Description | Author affiliation: Tarbiat Modares University, School of Industrial Engineering, Tehran, 14117-13116, IRAN (Alizadeh, Mohammad Mahdi; Eskandari, Hamidreza) || Science and Culture University, Department of Industrial Engineering, Tehran, 13145-871, IRAN (Sajadifar, S. Mehdi) |
| Abstract | We consider an inventory system with one warehouse which faces independent Poisson demand. Inventory items are deteriorating at a constant rate and lead times are stochastic. Shortage is allowed and all the unsatisfied demands are backlogged. In addition replenishment is one for one. Our objective is to minimize long-run expected costs. We develop the analytical model for deterministic lead time. Since the stochastic lead time model is complicated especially when lead time has non-exponential distribution and it is difficult to prove convexity of our objective function, we have established simulation model which has no limitation for lead time or any other parameters. We validate our simulation model by comparing simulation and analytical models' results when lead time is deterministic. The results are very close. Furthermore, we try to find near optimal solutions for a number of examples with stochastic lead time by applying optimization module of the applied software. |
| Starting Page | 1860 |
| Ending Page | 1871 |
| File Size | 314883 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781424498666 |
| ISSN | 15584305 |
| e-ISBN | 9781424498659 |
| DOI | 10.1109/WSC.2010.5678886 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stochastic processes Analytical models Mathematical model Software Exponential distribution Density functional theory Industrial engineering |
| Content Type | Text |
| Resource Type | Article |
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