Title of article :
A two-player competitive discrete location model with simultaneous decisions
Author/Authors :
Pedro Godinho، نويسنده , , Joana Dias، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
14
From page :
1419
To page :
1432
Abstract :
In this paper we will describe and study a competitive discrete location problem in which two decision-makers (players) will have to decide where to locate their own facilities, and customers will be assigned to the closest open facilities. We will consider the situation in which the players must decide simultaneously, unsure about the decisions of one another, and we will present the problem in a franchising environment. Most problems described in the literature consider sequential rather than simultaneous decisions. In a competitive environment, most problems consider that there is a set of known and already located facilities, and new facilities will have to be located, competing with the existing ones. In the presence of more than one decision-maker, most problems found in the literature belong to the class of Stackelberg location problems, where one decision-maker, the leader, locates first and then the other decision-maker, the follower, locates second, knowing the decisions made by the first. These types of problems are sequential and differ significantly from the problem tackled in this paper, where we explicitly consider simultaneous, non-cooperative discrete location decisions. We describe the problem and its context, propose some mathematical formulations and present an algorithmic approach that was developed to find Nash equilibria. Some computational tests were performed that allowed us to better understand some of the features of the problem and the associated Nash equilibria. Among other results, we conclude that worsening the situation of a player tends to benefit the other player, and that the inefficiency of Nash equilibria tends to increase with the level of competition.
Keywords :
Location , Game theory , Simultaneous decisions , Nash equilibrium , Optimization algorithms
Journal title :
European Journal of Operational Research
Serial Year :
2010
Journal title :
European Journal of Operational Research
Record number :
1313003
Link To Document :
بازگشت