1
Department of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran
2
Department of Industrial Management, Imam Khomeini International University, Qazvin, Iran.
Abstract
Aggregate production planning is a medium-term production planning to determine the production plan to satisfy fluctuating demand. In this paper, a robust approach is used to formulate the aggregate production planning that some parameters such as production costs and customer demand are fuzzy variables. The concept of entropy is used to reduce the sensitivity of noisy data and to obtain a more robust aggregate production plan based on the proposed model. Finally, a numerical example is presented to explain the model solution. In addition the robustness of proposed model solutions are compared with other classical fuzzy programming approach.
Rahmani, D., Yousefli, A., & Ramezanian, R. (2014). A new robust fuzzy approach for aggregate production planning. Scientia Iranica, 21(6), 2307-2314.
MLA
Donya Rahmani; Amir Yousefli; Reza Ramezanian. "A new robust fuzzy approach for aggregate production planning". Scientia Iranica, 21, 6, 2014, 2307-2314.
HARVARD
Rahmani, D., Yousefli, A., Ramezanian, R. (2014). 'A new robust fuzzy approach for aggregate production planning', Scientia Iranica, 21(6), pp. 2307-2314.
VANCOUVER
Rahmani, D., Yousefli, A., Ramezanian, R. A new robust fuzzy approach for aggregate production planning. Scientia Iranica, 2014; 21(6): 2307-2314.
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