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Inventory Planning Policy for Spare Part Using Classification Scheme Model Subject to Stochastic Demand and Lead Time in Aircraft Industry
Zharalin Suryaputri (a*), Ari Yanuar Ridwan (b), Budi Santosa (c)

(a), (b), (c) Industrial Engineering, School of Industrial Engineering, Telkom University, Bandung, Indonesia 40257


Spare part is an important component in maintenance, repair and operating activities in manufacturing company. There are some cases in aircraft industry which the lead time and demand of spare part is stochastic and it lead to stockouts condition. Due to this condition, a research is needed. The research aims to obtain optimal inventory policy under stochastic demand and lead time. Inventory policy was done by classify the spare part using classification scheme model for stochastic demand and lead time with continuous review (s, Q) policy to address the problem. Distribution approach is conducted for describe the pattern of demand of spare part also to define the fit equation so the optimal inventory system is capable of generating order quantities and reorder points to minimize stockouts and total inventory cost that caused by stochastic demand and lead time. The models are applied to data from aircraft industry in Indonesia. The results of the inventory policy proposed in this research can save 28 % of total inventory cost.

Keywords: Inventory policy, spare parts, Stochastic, Continuous review (s,Q), Inventory cost

Topic: Innovation, IT, Operations and Supply Chain Management


Conference: The 4th Global Conference on Business, Management and Entrepreneurship (GCBME 2019)

Plain Format | Corresponding Author (Zharalin Suryaputri)

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