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The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders
Author
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
The track of developing Economic Order Quantity (EOQ) models with uncertainties described as fuzzy numbers has been very lucrative.
In this paper, a fuzzy Economic Production Quantity (EPQ) model is developed to address a specific problem in a theoretical setting.
Not only is the production time finite, but also backorders are allowed.
The uncertainties, in the industrial context, come from the fact that the production availability is uncertain as well as the demand.
These uncertainties will be handled with fuzzy numbers and the analytical solution to the optimization problem will be obtained.
A theoretical example from the process industry is also given to illustrate the new model.
American Psychological Association (APA)
Björk, Kaj-Mikael. 2012. The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-505470
Modern Language Association (MLA)
Björk, Kaj-Mikael. The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-505470
American Medical Association (AMA)
Björk, Kaj-Mikael. The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-505470
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505470