The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
An Economic Order Quantity Model with Demand-Dependent Unit Production Cost and Imperfect Production Processes
Abstract
The classical economic order quantity (EOQ) model assumes that items produced are of perfect quality and that die unit cost of production is independent of demand. Product quality is not always perfect but directly affected by the reliability of the production process used to produce the products. In addition, a relationship between unit production cost and demand may exist under certain circumstances. We propose an EOQ model with demand-dependent unit production cost and imperfect production processes. We formulate this inventory decision problem as a geometric program (GP) and solve it to obtain closed-form optimal solutions. An illustrative example is provided to demonstrate the point that GP has potential as a valuable analytical tool for studying a certain class of inventory control problems. We also discuss the aspect of sensitivity analysis based on the GP approach.
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Economic Production Cycles with Imperfect Production Processes
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Economic production quantity model for items with imperfect quality
Salameh, M. K., & Jaber, M. Y. (2000) · International Journal of Production Economics · doi:10.1016/s0925-5273(99)00044-4 · Cited by 1,048
Dynamic model for a defective production system with Poka-Yoke
Tsou, J.-C., & Chen, J.-M. (2005) · Journal of the Operational Research Society · doi:10.1057/palgrave.jors.2601877 · Cited by 32
Metadata
- Authors
- CHENG, T. C. E.
- Venue
- IIE Transactions
- Publisher
- Informa UK Limited
- Published
- 1991-03
- Volume
- 23
- Issue
- 1
- Pages
- 23-28
- ISSN
- 0740-817X (ISSN-L)
- 1545-8830
- OpenAlex
- W2128469089
- Cited by
- 287
- References
- 12
- FWCI
- 2.42
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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