TY - JFULL AU - Mohammad Mahdi Paydar and Armin Cheraghalipour and Mostafa Hajiaghaei-Keshteli PY - 2018/4/ TI - A Bi-Objective Stochastic Mathematical Model for Agricultural Supply Chain Network T2 - International Journal of Industrial and Manufacturing Engineering SP - 261 EP - 267 VL - 12 SN - 1307-6892 UR - https://publications.waset.org/pdf/10008715 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 135, 2018 N2 - Nowadays, in advanced countries, agriculture as one of the most significant sectors of the economy, plays an important role in its political and economic independence. Due to farmers' lack of information about products' demand and lack of proper planning for harvest time, annually the considerable amount of products is corrupted. Besides, in this paper, we attempt to improve these unfavorable conditions via designing an effective supply chain network that tries to minimize total costs of agricultural products along with minimizing shortage in demand points. To validate the proposed model, a stochastic optimization approach by using a branch and bound solver of the LINGO software is utilized. Furthermore, to accumulate the data of parameters, a case study in Mazandaran province placed in the north of Iran has been applied. Finally, using ɛ-constraint approach, a Pareto front is obtained and one of its Pareto solutions as best solution is selected. Then, related results of this solution are explained. Finally, conclusions and suggestions for the future research are presented. ER -