1979
DOI: 10.1287/trsc.13.2.85
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Locations of Medians on Stochastic Networks

Abstract: The definition of network medians is extended to the case where travel times on network links are random variables with known discrete probability distributions. Under a particular set of assumptions, it is shown that the well-known theorems of HAKIMI and of LEVY can be extended to such stochastic networks. The concepts are further extended to the case of stochastic oriented networks. A particular set of applications as well as formulations of the problem for solution using mathematical programming techniques … Show more

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Cited by 141 publications
(35 citation statements)
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“…Mirchandani and Odoni [44] extended the -median problem to account for stochastic travel times. Their model assumes travel times to be known when a demand for service arises; however, the state of the system (as described by the link travel times) changes over time according to a Markov process.…”
Section: Ambulance Location Modelsmentioning
confidence: 99%
“…Mirchandani and Odoni [44] extended the -median problem to account for stochastic travel times. Their model assumes travel times to be known when a demand for service arises; however, the state of the system (as described by the link travel times) changes over time according to a Markov process.…”
Section: Ambulance Location Modelsmentioning
confidence: 99%
“…Levy [8], A. Goldman [3], L. Hakimi and S, Maheshwari [6], and R. Wendell and A. Hurter [14]; and a concise abstract of these extensions can be consulted in the paper of B. Tansel, R. Francis and T. Lowe [12]. Furthermore, that property has been extended to stochastic networks by P. Mirchandani and A. Odoni [11] and to absolute conditional problems by E. Minieka [10]. On the other hand, P. Hansen and M. Labbé [7] consider continuous p-medians which were introduced as absolute gênerai médians by E. Minieka [9], and were defined so that they minimize the sum of the distances from each link to the closest facility.…”
Section: Introductionmentioning
confidence: 99%
“…Hooker, Garfinkel and Chen (1991) studied a large number of continuous network location problems in an effort to identify a finite set of points on the network which would contain the new facility locations in an optimal solution. They called such a set of points for a given problem a. finite domination set Problem 1. m-Median Problem (Hakimi, 1964(Hakimi, ,1965 (Goldman, 1971) (Mirchandani and Odoni, 1979) (Dearing, Francis, and Lowe, 1976;Kolen, 1986;Fernandez-Baca, 1989;Chhajed and Lowe, 1990) Problem 6. m-C enter Problem (Hakimi, 1965) (Hooker, Garfinkel and Chen, 1991). Let C be the union of all such points for all i,j and pe AinAj.…”
mentioning
confidence: 99%