سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات158
تعداد شماره‌ها6,232
تعداد مقالات67,790
تعداد مشاهده مقاله115,263,301
تعداد دریافت فایل اصل مقاله90,005,218
Esmaeili, Maryam, Mohajeri, Maryam. (1402). A robust model for supplier selection and inventory management in a discrete space. , (), -. doi: 10.22059/aie.2023.361821.1875
Maryam Esmaeili; Maryam Mohajeri. "A robust model for supplier selection and inventory management in a discrete space". , , , 1402, -. doi: 10.22059/aie.2023.361821.1875
Esmaeili, Maryam, Mohajeri, Maryam. (1402). 'A robust model for supplier selection and inventory management in a discrete space', , (), pp. -. doi: 10.22059/aie.2023.361821.1875
Esmaeili, Maryam, Mohajeri, Maryam. A robust model for supplier selection and inventory management in a discrete space. , 1402; (): -. doi: 10.22059/aie.2023.361821.1875

A robust model for supplier selection and inventory management in a discrete space

Advances in Industrial Engineering
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 28 آذر 1402
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/aie.2023.361821.1875
نویسندگان
Maryam Esmaeili* 1؛ Maryam Mohajeri2
1Associate Professor, Faculty of engineering, Alzahra university
2Ph.D candidate of industrial engineering, Engineering department, Alzahra university
چکیده
Uncertainty in the form demand fluctuation has been determined as one of a most affecting source of risk in supply chain management problems. This paper aims at determining the optimal supplier selection, order allocation and synchronizing delivery process of a single product in a supply chain with several suppliers and a single buyer considering uncertain demand. The complexity of the model is related to the lot sizing scheme in which the inventory is accumulated at the buyer’s warehouse. Proposed model considers total cost of the whole supply chain under demand sets related to different economic situations. A robust model is then proposed using a convex nonlinear scenario based stochastic programming where the objective is to minimize the total system expected cost. Finally, we conduct several numerical studies to evaluate the performance of the proposed model and study the effect of variation of the scenario set data on the model outputs.
کلیدواژه‌ها
Lot sizing؛ Order allocation؛ Robust optimization؛ Supplier selection؛ Uncertain demand
آمار
تعداد مشاهده مقاله: 40


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب