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Lease contract in usage based remanufactured equipment service system
Husniah H.a, Pasaribu U.S.b, Iskandar B.P.b
a Langlangbuana University, Bandung, Indonesia
b Bandung Institute of Technology, 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]© 2018, IFIP International Federation for Information Processing.In this paper we study a usage based lease contract for remanufactured equipment as an implementation of product service system. Under this lease contract, the equipment is leased for a period of Γ with a maximum usage, U. If the usage of the equipment exceeds U at time Γ, then lessee will be charged some additional cost. Otherwise there will be no additional cost. The price of the lease contract for the remanufactured equipment is much cheaper than that of a new one. As a result, the lease contract for the remanufactured equipment would be a more attractive option to the lessee. The decision problem for the lessee is to select the best option suitable to its requirement, and the decision problem for the lessor is find the optimal maintenance policy and the price for each length of periods offered. We provide numerical examples for illustrating the optimal decisions for the lessee, and the lessor, which maximizes the expected profit for each party.[/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]Decision problems,Expected profits,Lease,Optimal decisions,Optimal maintenance policies,Product-service systems,Remanufactured,Service systems[/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]Game theory,Lease,Preventive maintenance,Remanufactured,Usage based service system[/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][{‘$’: ‘Acknowledgements. This work is funded by the Ministry of Research, Technology, and Higher Education of the Republic of Indonesia through the scheme of “PUPT 2018” with contract number SP DIPA-042.06.1.401516/2018.’}, {‘$’: ‘This work is funded by the Ministry of Research, Technology, and Higher Education of the Republic of Indonesia through the scheme of “PUPT 2018” with contract number SP DIPA-042.06.1.401516/2018.’}][/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]https://doi.org/10.1007/978-3-319-99707-0_25[/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]