@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},
	}