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An EOQ model for deteriorating items with time varying demand and partial backlogging
Abstract
In the classical economic order quantity model, it is often assumed that the shortages are either completely backlogged or completely lost. However, in some inventory systems, it is more reasonable to assume that the backlogging rate is dependent on the length of the waiting time for the next replenishment. The longer the waiting time is, the smaller the backlogging rate would be. In this paper, we focus on the effect of the backlogging rate on the economic order quantity decision. Numerical examples are presented to illustrate the model.
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Citations
Cited by
Recent trends in modeling of deteriorating inventory
Goyal, S. K., & Giri, B. C. (2001) · European Journal of Operational Research · doi:10.1016/s0377-2217(00)00248-4 · Cited by 1,323
State-of-the-art literature review on inventory models for perishable products
Chaudhary, V., Kulshrestha, R., & Routroy, S. (2018) · Journal of Advances in Management Research · doi:10.1108/jamr-09-2017-0091 · Cited by 107
Metadata
- Authors
- Chang, H.-J., & Dye, C.-Y.
- Venue
- Journal of the Operational Research Society
- Publisher
- Informa UK Limited
- Published
- 1999-11
- Volume
- 50
- Issue
- 11
- Pages
- 1176-1182
- ISSN
- 0160-5682 (ISSN-L)
- 1476-9360
- OpenAlex
- W1995342995
- Cited by
- 307
- References
- 0
- FWCI
- 9.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chang, H.-J., & Dye, C.-Y. (1999). An EOQ model for deteriorating items with time varying demand and partial backlogging. Journal of the Operational Research Society. https://doi.org/10.1057/palgrave.jors.2600801
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.