Optimal Aggregate Production Planning with Fuzzy Data
| Main Authors: | Wen-Lung Huang, Shih-Pin Chen |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2012
|
| Online Access: |
https://zenodo.org/record/1334548 |
Daftar Isi:
- This paper investigates the optimization problem of multi-product aggregate production planning (APP) with fuzzy data. From a comprehensive viewpoint of conserving the fuzziness of input information, this paper proposes a method that can completely describe the membership function of the performance measure. The idea is based on the well-known Zadeh-s extension principle which plays an important role in fuzzy theory. In the proposed solution procedure, a pair of mathematical programs parameterized by possibility level a is formulated to calculate the bounds of the optimal performance measure at a . Then the membership function of the optimal performance measure is constructed by enumerating different values of a . Solutions obtained from the proposed method contain more information, and can offer more chance to achieve the feasible disaggregate plan. This is helpful to the decision-maker in practical applications.