@article{(Open Science Index):https://publications.waset.org/pdf/7854, title = {Optimal Aggregate Production Planning with Fuzzy Data}, author = {Wen-Lung Huang and Shih-Pin Chen}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Industrial and Manufacturing Engineering}, volume = {6}, number = {8}, year = {2012}, pages = {1633 - 1638}, ee = {https://publications.waset.org/pdf/7854}, url = {https://publications.waset.org/vol/68}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 68, 2012}, }