TY - JOUR
T1 - A Condition-based maintenance and spare parts provisioning based on markov chains
AU - Nurhasanah, H.
AU - Ridwan, A. Y.
AU - Santosa, B.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/12/10
Y1 - 2019/12/10
N2 - 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 spare parts inventory policy is not accurate it will cause stock outs or overstocks, which can lead to more costs for the company. The worst case is if there is no spare part stored in the warehouse when it is needed, it can make the production floor stopped, which in the end makes the company can't fulfil their production target. This research aims to obtain an optimal preventive maintenance schedule by calculating the machine's reliability and inventory provisioning policy for the spare parts according to predicted amount that will be needed in the future calculated using Markov chains so the company can determine the reorder point (r) and the economic order quantity (EOQ).
AB - 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 spare parts inventory policy is not accurate it will cause stock outs or overstocks, which can lead to more costs for the company. The worst case is if there is no spare part stored in the warehouse when it is needed, it can make the production floor stopped, which in the end makes the company can't fulfil their production target. This research aims to obtain an optimal preventive maintenance schedule by calculating the machine's reliability and inventory provisioning policy for the spare parts according to predicted amount that will be needed in the future calculated using Markov chains so the company can determine the reorder point (r) and the economic order quantity (EOQ).
UR - http://www.scopus.com/inward/record.url?scp=85078254278&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/673/1/012101
DO - 10.1088/1757-899X/673/1/012101
M3 - Conference article
AN - SCOPUS:85078254278
SN - 1757-8981
VL - 673
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012101
T2 - Broad Exposure to Science and Technology 2019, BEST 2019
Y2 - 7 August 2019 through 8 August 2019
ER -