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Optimal number of fleet maintenance contract with policy limit cost
Husniah H.a, Supriatna A.K.b, Pasaribu U.S.c, Iskandar B.P.c
a Department of Industrial Engineering, Langlangbuana University, Bandung, Indonesia
b Department of Mathematic, Padjadjaran University, Bandung, Indonesia
c Department of Mathematic, 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]© 2017 IEEE.In this paper, we study a two-dimensional maintenance contract for a fleet of trucks such as dump truck operated in a mining industry. The trucks are sold with a two-dimensional warranty. The warranty and the maintenance contract are characterized by two parameters (i.e. age and usage limits) which define a 2-dimensional region. The maintenance service contracts studied is the one which offers policy limit cost to protect a service provider (an agent) from over claim and to pursue the owner to do maintenance under specified cost in-house. This in turn gives benefit for both the owner of the trucks and the agent of service contract. The decision problem for an agent is to determine the optimal price for each options offered and for the owner is to select the best contract option. We use a Nash game theory formulation in order to obtain a win-win solution – i.e. the optimal price for the agent and the optimal option for the owner.[/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,Fleet maintenance,Maintenance contracts,Maintenance services,Nash equilibria,Penalty,Two-dimensional warranty,Win-win solutions[/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]Maintenance contract,Nash equilibrium,Penalty,Policy limit 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]The authors would like to thank the anonymous referee for the valuable comments which improved significantly the earlier version of the paper. This work is funded through the scheme of “Hibah PUPT 2017”, from KEMENRISTEKDIKTI Indonesia.[/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/10.1109/CoDIT.2017.8102706[/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]