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Condition-based maintenance policy for leased equipment considering usage rate
Iskandar B.P.a, Husniah H.b
a Industrial Engineering Department, Bandung Institute of Technology, Bandung, Indonesia
b Industrial Engineering Department, Langlangbuana University, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019, Computers and Industrial Engineering. All rights reserved.We study a condition based maintenance (CBM) for a leased equipment. Many companies are willing to lease rather than own the equipment as it does not require an initial investment, and saves significantly maintenance cost. To keep competitive, the lessor offers a lease contract which ensures high performance of the leased equipment. An effective maintenance policy is needed to ensure a high performance (e.g. availability) of the equipment. The condition based maintenance (CBM) policy is used in order to reduce failures and unnecessary maintenance actions, and hence results in high availability and minimum maintenance cost. We propose a condition based maintenance (CBM) policy with periodic inspections, in order to control the level of degradation. The degradation process is considered to be influenced by age, usage and operating condition where the equipment is operated, and it is modelled by a Gamma process with the shape parameter being a function of age and usage. As the lessor ensures a high availability, then the lessor incurs a penalty cost if the downtime exceeds a threshold value. We study the lease contract from the lessor’s viewpoint, and find the optimal maintenance policy (i.e. an inspection interval and a preventive maintenance threshold) minimizing the total costs while keeping to meet the availability target. We present numerical examples for illustrating the optimal inspection interval and the preventive maintenance threshold minimizing the expected total costs for the lessor for a given availability target.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Condition based maintenance,Condition-based maintenance policy,Gamma process,Inspection intervals,Minimum maintenances,Operating condition,Optimal maintenance policies,Periodic inspection[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]A Gamma process,Availability,Condition based maintenance,Lease contract,Total cost[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]This work is funded by the Ministry of Research, Technology, and Higher Education of the Republic of Indonesia through the scheme of “PUPT 2019” with contract number SP DIPA-042.06.1.401516/ 2019.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]