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@article{(International Science Index):http://waset.org/publications/7854,
  title    = {Optimal Aggregate Production Planning with Fuzzy Data},
  author    = {Wen-Lung Huang and  Shih-Pin Chen},
  country   = {Taiwan},
  institution={National Chung Cheng University},
  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 Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering},  volume    = {6},
  number    = {8},
  year      = {2012},
  pages     = {1633 - 1638},
  ee        = {http://waset.org/publications/7854},
  url       = {http://waset.org/Publications?p=68},
  bibsource = {http://waset.org/Publications},
  issn      = {PISSN:2010-376X, EISSN:2010-3778},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 68, 2012},