TY - JOUR ID - 3623 TI - A new robust fuzzy approach for aggregate production planning JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Rahmani, Donya AU - Yousefli, Amir AU - Ramezanian, Reza AD - Department of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran AD - Department of Industrial Management, Imam Khomeini International University, Qazvin, Iran. Y1 - 2014 PY - 2014 VL - 21 IS - 6 SP - 2307 EP - 2314 KW - Aggregate production planning KW - robust optimization KW - Fuzzy programming KW - Fuzzy entropy DO - N2 - 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.  UR - https://scientiairanica.sharif.edu/article_3623.html L1 - https://scientiairanica.sharif.edu/article_3623_d630ba497e471df5894b4d97033a4e65.pdf ER -