Computational algorithm for inventory model with a service level constraint, lead time demand with the mixture of distributions and controllable negative exponential backorder rate-Reference-Cited by-同舟云学术

Computational algorithm for inventory model with a service level constraint, lead time demand with the mixture of distributions and controllable negative exponential backorder rate

Published:2006-04 Issue:2 Volume:175 Page:1125-1138
ISSN:0096-3003
Container-title:Applied Mathematics and Computation
language:en
Short-container-title:Applied Mathematics and Computation

Author:

Lee Wen-Chuan,Wu Jong-Wuu,Hsu Jye-Wei

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference15 articles.

1. Optimal inventory policies with service-level constraint;Aardal;Journal of the Operational Research Society,1989

2. Inventory models involving lead time as decision variable;Ben-Daya;Journal of the Operational Research Society,1994

3. Finite Mixture Distribution;Everitt,1981

4. Operations Research in Production Planning, Scheduling, and Inventory Control;Johnson,1974

5. Microsoft Developer Studio Fortran Powerstation 4.0 and IMSL, 1995, Microsoft Corporation.

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