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Optimizing Joint Maintenance and Stock Provisioning Policy for a Multi-Echelon Spare Part Logistics Network

多階備用零件物流網路聯合維修與存貨供應政策之最佳化

摘要


在機器維修保養策略中,備用零件庫存管理是一重要決策,其能夠維持機器的生產力水準。預防性替換政策主要在規劃最低成本之備用零件替換。若考慮設備之關鍵性,備用零件可以分成關鍵與非關鍵二類需求,系統可以保留一定的庫存提供予關鍵需求,此即為存貨比例政策。備用零件庫存顯著地影響生產系統之績效,特別是在機器當機會造成巨大生產損失的情況下。本研究探討採用聯合預防性替換與存貨比例政策在多階備用零件物流網路之最佳化問題。多階備用零件物流網路包括設備使用廠商、備用零件配送中心與備用零件供應商。整個備用零件物流網路的存貨模式非常複雜,因此,本研究以分散搜尋法為基礎之模擬最佳化方法求算在最大化備用零件供應鏈整體利潤之目標下之近似最佳解。並且,以一個範例驗證聯合維修與存貨供應政策之最佳化。

並列摘要


Spare part stock management attempts to ensure that the failed equipment items can be replaced immediately to maintain a sufficient productivity level. In maintenance, the inventory policy determination for spare parts is an important issue. The age-based preventive replacement policy may seek the least total cost for spare part replacement. Considering the criticality of equipment where it is installed, demand for a certain spare part can be categorized into critical and non-critical. The stock level for critical demand can be set to reserve certain spare parts in stock for critical equipment users. This stock policy is named the inventory rationing policy. The stock policy has a significant impact on production system performance, particularly when a machine breakdown causes a large amount of production lost. This study optimizes the joint age-based preventive replacement and inventory rationing policy in a multi-echelon spare part logistics network. In this study, there are equipment users, spare part distribution center and spare part suppliers in the multi-echelon system. Inventory policy optimization for the spare part logistics network is extremely complicated. This paper adopts the scatter search based simulation-optimization method to obtain the optimal configurations with respect to maximizing the total profit of the spare parts logistics network. An implementation example of a spare part logistics system is used to demonstrate the advantages of employing the joint policy.

參考文獻


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