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Two dimensional maintenance contracts for a fleet of dump trucks used in mining industry
Husniah H.a, Pasaribu U.S.b, Cakravastia A.b, Iskandar B.P.b
a Department of Industrial Engineering, Langlangbuana University, Indonesia
b Department of Mathematics and Life Sience, Bandung Institute of Technology, 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]© (2014) Trans Tech Publications, Switzerland.In this paper, we study two dimensional maintenance contracts for a fleet of dump trucks operated in a mining industry. The two-dimensional contract is charaterised by two parameters (i.e. age and usage limits) which define a region. Two different shapes of the contract region are studied, where one region favors the customer, and the other the service provider. The maintenance service contracts studied is the performance based contract which offers incentives to motivate a service provider (an agent) to increase the equipment’s performance beyond the target. This in turn gives benefit for both the owner of the trucks and the agent of service contract. The decision problem under study is that an agent offers several two dimensional service contract options and the owner of the trucks has to select the optimal option. We use a Nash game theory formulation in order to obtain a win-win solution – i.e. the optimal strategy (pricing structure) 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 contracts,Maintenance services,Optimal strategies,Performance-based contracts,Pricing structures,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]Fleet,Maintenance contract,Nash game theory,Performance based contract[/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][/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/10.4028/www.scientific.net/AMM.660.1026[/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]