Geodesic
Optimal pricing structure in a maintenance contract: a game theory approach
Contributions to game theory and management, Tome 13 (2020), pp. 388-401

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This essay presents a novel look at Murthy and Asgharizadeh's study (Murthy Asgharizadeh, 1998). The authors developed a decision problem applied to maintenance outsourcing involving two decision-makers (players). If a consumer buys a product, then outsources the maintenance actions to a maintenance agent (agent) who offers two maintenance options; a maintenance contract that holds a penalty clause which is activated if the agent's time to repair is higher than a specified time, and services on-demand. The model yields equilibrium strategies based on the subgame-perfect Nash equilibrium. The agent defines the optimal pricing structure for the maintenance options considering the equipment's useful life while the consumer maximizes their expected payoff by choosing one maintenance option. Our contribution to this research branches in three ways. First, once the model deals with random variables, it represents a stochastic optimization problem. We propose a different approach to estimate this penalty time by using the Monte Carlo method. The second contribution is to present a formal definition of this decision problem as a game, emphasizing the game theory's components. Finally, we reinterpret the players' equilibrium strategies.
Keywords: game theory, maintenance outsourcing, simulation, equilibrium strategies, expected payoffs. 
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     author = {Henrique P. Z. Santos and Bruno N. Guedes and Claudio T. Cristino},
     title = {Optimal pricing structure in a maintenance contract: a game theory approach},
     journal = {Contributions to game theory and management},
     pages = {388--401},
     publisher = {mathdoc},
     volume = {13},
     year = {2020},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/CGTM_2020_13_a20/}
}
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Henrique P. Z. Santos; Bruno N. Guedes; Claudio T. Cristino. Optimal pricing structure in a maintenance contract: a game theory approach. Contributions to game theory and management, Tome 13 (2020), pp. 388-401. http://geodesic.mathdoc.fr/item/CGTM_2020_13_a20/