Abstract
In this paper, we will develop a new multi-item economic production quantity model with limited storage space. This new model will then be extended to allow for fuzzy demand and solved numerically with a non-linear programming solver for two cases: in the first case the optimization problem will be defuzzified with the signed distance measure and in the second case, the storage constraint needs to be fulfilled, only to a certain degree of possibility. Both cases are solved and illustrated with an example.
| Original language | English |
|---|---|
| Title of host publication | Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings |
| Number of pages | 10 |
| Place of Publication | Cham |
| Publisher | Springer Verlag |
| Publication date | 01.01.2014 |
| Edition | PART 1 |
| Pages | 406-415 |
| ISBN (Print) | 978-3-319-08794-8 |
| ISBN (Electronic) | 978-3-319-08795-5 |
| DOIs | |
| Publication status | Published - 01.01.2014 |
| MoE publication type | A4 Article in conference proceedings |
| Event | 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2014 - Montpellier, France Duration: 15.07.2014 → 19.07.2014 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Number | PART 1 |
| Volume | 442 CCIS |
| ISSN (Print) | 1865-0929 |
Keywords
- 512 Business and Management
- Economic Production Quantity
- Triangular fuzzy numbers
- Inventory constraint
- Signed distance
- Chance constrained optimization