The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders

Author

Björk, Kaj-Mikael

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