The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders
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 fin...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2012/876230 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832550718927536128 |
|---|---|
| author | Kaj-Mikael Björk |
| author_facet | Kaj-Mikael Björk |
| author_sort | Kaj-Mikael Björk |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b0740607c3fb4049a9dc8cbfc30dedab |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-b0740607c3fb4049a9dc8cbfc30dedab2025-02-03T06:06:05ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322012-01-01201210.1155/2012/876230876230The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and BackordersKaj-Mikael Björk0Åbo Akademi University, IAMSR, 20520 Turku, FinlandThe 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.http://dx.doi.org/10.1155/2012/876230 |
| spellingShingle | Kaj-Mikael Björk The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders Applied Computational Intelligence and Soft Computing |
| title | The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders |
| title_full | The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders |
| title_fullStr | The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders |
| title_full_unstemmed | The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders |
| title_short | The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders |
| title_sort | fuzzy economic order quantity problem with a finite production rate and backorders |
| url | http://dx.doi.org/10.1155/2012/876230 |
| work_keys_str_mv | AT kajmikaelbjork thefuzzyeconomicorderquantityproblemwithafiniteproductionrateandbackorders AT kajmikaelbjork fuzzyeconomicorderquantityproblemwithafiniteproductionrateandbackorders |