Name
Abstract | ||
|---|---|---|
The paper deals with a lot sizing problem with ill-known demands modeled by fuzzy intervals whose membership functions are possibility distributions for the values of the uncertain demands. Optimization criteria, in the setting of possibility theory, that lead to choose robust production plans under fuzzy demands are given. Some algorithms for determining optimal robust production plans with respect to the proposed criteria, and for evaluating production plans are provided. Some computational experiments are presented. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.fss.2012.01.015 | Fuzzy Sets and Systems |
Keywords | DocType | Volume |
robust production plan,fuzzy interval,optimal robust production plan,ill-known demand,possibility theory,membership function,robust lot,computational experiment,fuzzy demand,possibility distribution,production plan | Journal | 206, |
ISSN | Citations | PageRank |
Fuzzy Sets and Systems 206 (2012) 39-57 | 4 | 0.39 |
References | Authors | |
21 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Romain Guillaume | 1 | 19 | 8.64 |
| Przemysław Kobylanski | 2 | 35 | 5.92 |
| Paweł Zieliński | 3 | 274 | 19.73 |