A forward-reverse repairable spare part network considering inventory management
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 296
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شناسه ملی سند علمی:
JR_IJIEPR-32-4_006
تاریخ نمایه سازی: 19 دی 1400
چکیده مقاله:
Productions of the industries around the world depend on using equipment and machines. Therefore, it is vital to support the supply of equipment and spare parts for maintenance operations, especially in strategic industries that separate optimization of inventory management, supplier selection, network design, and planning decisions may lead to sub-optimal solutions. The integration of forward and reverse spare part logistics network can help optimize total costs. In this paper, a mathematical model is presented for designing and planning an integrated forward-reverse repairable spare parts supply chain to make optimal decisions. The model considers the uncertainty in demand during the lead-time and the optimal assignment of repairable equipment to inspection, disassembly, and repair centers. A METRIC (Multi-Echelon Technique for recoverable Item Control) model is integrated into the forward-reverse supply chain to handle inventory management. A case study of National Iranian Oil Company (NIOC) is presented to validate the model. The non-linear constraints are linearized by using a linearization technique; then the model is solved by an iterative procedure in GAMS. A prominent outcome of the analyses shows that the same policies for repair and purchase of all the equipment and spare parts do not result in optimal solutions. Also, considering supply, repair, and inventory management decisions of spare parts simultaneously helps decision-makers enhance the supply chain's performance by applying a well-balanced repairing and purchasing policy.
کلیدواژه ها:
نویسندگان
Gholamreza Moini
Department of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Ebrahim Teimoury
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Seyed Mohammad Seyedhosseini
Department of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Reza Radfar
Department of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Mahmood Alborzi
Department of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran