Abstract
Optimization models based on fuzzy set theory are relevant to the process industry, where there are many uncertainties that are inherently fuzzy. In this paper, we incorporate backorders (i.e the inventory to go below zero) and cycle time in a fuzzy Economic Production Quantity (EPQ) model. The uncertainties in the backorders and in the demand for different products are modeled using triangular possibility distributions. We illustrate the model with an example that describes a typical decision making problem in the paper industry.
| Original language | English |
|---|---|
| Title of host publication | Advances in Information Systems and Technologies |
| Number of pages | 10 |
| Place of Publication | Berlin, Heidelberg |
| Publisher | Springer Verlag |
| Publication date | 01.01.2013 |
| Pages | 557-566 |
| ISBN (Print) | 978-3-642-36980-3 |
| ISBN (Electronic) | 978-3-642-36981-0 |
| DOIs | |
| Publication status | Published - 01.01.2013 |
| MoE publication type | A4 Article in conference proceedings |
| Event | 2013 World Conference on Information Systems and Technologies, WorldCIST 2013 - Olhao, Algarve, Portugal Duration: 27.03.2013 → 30.03.2013 |
Publication series
| Name | Advances in Intelligent Systems and Computing (AISC) |
|---|---|
| Volume | 206 |
| ISSN (Print) | 2194-5357 |
Keywords
- 512 Business and Management
- Economic Production Quantity
- Fuzzy Sets
- Signed Distance
- Production optimization
- Supply Chain Management