MARC record from Internet Archive

LEADER: 02227nam 2200409Ia 4500
001 ocn436279106
003 OCoLC
005 20090911135309.0
008 090911s1973 cau bt f000 0 eng d
007 cr bn|||||||||
040 $aAD#$cAD#
037 $aAD0764540$bDTI
086 0 $aD 208.14/2:NPS-55GV73051A
088 $aNPS-55GV73051A
049 $aAD#A
100 1 $aGaver, Donald Paul.
245 10 $aTransitory service systems /$cby Donald P. Gaver, John P. Lehoczky [and] Manuel Perlas.
260 $aMonterey, California :$bNaval Postgraduate School,$c1973.
300 $a38 p. ;$c28 cm.
500 $aTitle from cover.
500 $a"May 1973"--Cover.
500 $a"NPS-55GV73051A"--Cover.
500 $aAuthor(s) key words: Service systems, delays, probability, queues, stochastic processes.
504 $aIncludes bibliographical references (p. 32).
506 $a"Approved for public release; distribution unlimited"--Cover.
513 $aTechnical report; 1973.
520 $aMany (perhaps most) service systems, such as repair and job shops, computation centers, and transportation networks, experience demand that is non-stationary in time. The paper describes models for situations in which demands made are by a finite number of individuals, who, having been served, do not return until much later. Such a transitory demand or arrival process describes many phenomena, among them being commuter rush hours, and also perhaps the effect on a population of individuals their simultaneous exposure to a dosage of medicine, a disease, or even a pollutant. The paper formulates several models for the service of such demands and describes the manner in which system state may be approximated by Gaussian processes, in particular the Ornstein-Uhlenbeck and Wiener diffusions. (Author)
592 $akmc/kmc 9/11/09.
650 0 $aQueuing theory.
650 0 $aStochastic processes.
700 1 $aLehoczky, John P.
700 1 $aPerlas, Manuel.
710 2 $aNaval Postgraduate School (U.S.)
994 $aC0$bAD#
035 $a(CStRLIN)CDKGR6050693-B
949 $lgen$nL$aT57.9$b.G2$s1$tnorm$c00001$u00001$i32768001622392
926 $aNPS-LIB$bDIGIPROJ$cD 208.14/2:NPS-55GV73051A$dTECH_RPT$eNEVER$f1