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An Optimum Condition-Based Maintenance and Spare Parts Provisioning Based on Markov Chains
Hasna Nurhasanah (a*), Ari Yanuar Ridwan (a), Budi Santosa (a)

(a) Industrial Engineering, School of Industrial and System Engineering, Telkom University
Jalan Telekomunikasi, Jalan Terusan Buah Batu Nomor 01, Sukapura, Dayeuhkolot, Bandung, Jawa Barat, 40257, Indonesia


Machine is a vital tool of the company in helping the production process. Every company expects the production to run smoothly, but sometimes it is hampered by damage that happened to the machine, so that the production process is disrupted and causes losses to the company. Engine damage can be minimized by regularly evaluating the condition of the spare parts. In practice, if the inventory policy is not accurate it will causes stockouts or overstocks, which can lead to more costs for the company. This research aims to obtain an optimal preventive maintenance schedule and inventory policy for any spare parts by determine the reorder point (r) and the economic order quantity (EOQ) using the Markov Chains to analyse the reliability of the spare parts and the probability for the corrective maintenance will be needed. After the optimal inventory policy (r,Q) is found, the result of this research is the reduction of the total inventory system costs. If in reality the company is facing the stockouts problem, this research can help to decrease the shortage cost. And if the problem is overstocks that the company is facing, then this research can help to decrease the holding cost.

Keywords: Inventory Policy; Spare Parts; Reliability; Markov Chains

Topic: Industrial Engineering


Conference: Broad Exposure on Science and Technology (BEST 2019)

Plain Format | Corresponding Author (Hasna Nurhasanah)

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