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