A Queuing Model for an Automated Workstation Receiving Jobs from an Automated Workstation

Size: px
Start display at page:

Download "A Queuing Model for an Automated Workstation Receiving Jobs from an Automated Workstation"

Transcription

1 Intenatonal Jounal of Opeatons Reseach Intenatonal Jounal of Opeatons Reseach Vol. 7, o. 4, 918 (1 A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton Davd S. Km School of Mechancal, Industal and Manufactung Engneeng, Oegon State Unvesty, Covalls, Oegon, USA Receved June 1; Revsed Octobe 1; Accepted ovembe 1 Abstact In ths pape we develop queung model esults fo a sngle automated wokstaton that eceves jobs fom anothe automated wokstaton. An automated wokstaton s a seve wth detemnstc pocessng tmes that expeences andom opeatng tmes between falues, and then subsequent andom epa tmes. We develop analytcal expessons fo the queue sze dstbuton, the aveage numbe n system and the vaance of the numbe n system usng a dscete model of ths queung system. KeywodsQueung, automated wokstaton, poducton systems, makov chan aggegaton. 1. ITRODUCTIO In the analyss of poducton systems, the pesence of automated wokstatons s vey common. An automated wokstaton s a seve wth detemnstc pocessng tmes that expeences andom opeatng tmes between falues, and then subsequent andom epa tmes. In ths pape we develop analytcal expessons fo the queue sze dstbuton, the aveage numbe n system, and the vaance of the numbe n system fo a sngle automated wokstaton that eceves nput fom anothe automated wokstaton. The actual wokstaton that s consdeed s assumed to have fxed job pocessng tmes and exponentally dstbuted opeatng tmes between falues, and exponentally dstbuted epa tmes. These have been shown to be easonable assumptons n pactce (Inman 1999, Dalley and Geshwn 199. Much s known about such automated wokstatons opeatng n solaton. In Km and Alden (1997 a mxed dscete/contnuous pobablty mass/densty functon fo the tme to poduce a fxed numbe of jobs on such a wokstaton s deved (whch also ncludes the specal case of a sngle job. Fo a dscete model of such a wokstaton a fomula fo the vaance of the numbe of jobs poduced n a fxed tme peod s deved n Geshwn (199. In Km and Alden (1997 and Hopp and Speaman (1 fomulas can be found fo the mean and vaance of the tme a job spends n such a wokstaton that ncludes pocess and epa tme. One addtonal step n the analyss of automated wokstatons s the analyss of a wokstaton and ts nput buffe. In ths eseach we develop an analytcal model fo a sngle automated wokstaton that eceves ts nput fom an upsteam automated wokstaton and compae ths aganst commonly known G/G/1 appoxmatons wth espect to estmatng the aveage numbe of jobs n the system. Analytcal expessons fo the dstbuton of the numbe of jobs n the system (the wokstaton and ts nput buffe ae also deved. In a elated pape (agaajan and Km 6, lnkng equatons have been developed so that the esults developed hee can be appled to the analytcal analyss of a sees of automated wokstatons usng a two-wokstaton decomposton appoxmaton. Ths pape pesents the detals of the modelng appoach and devaton of the esults fo an automated wokstaton queung system utlzed n agaajan and Km (6. Smplfed fomulas as well as the esult fo the vaance of the numbe n system ae new. A lage amount eseach addessng the modelng of seal automated poducton systems focuses on modelng Coespondng autho s emal: davd.km@ost.edu X Copyght 1 ORSTW

2 Km: A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton IJOR Vol. 7, o. 4, 9 18 (1 1 two automated wokstatons n sees wth fnte buffe capactes between wokstatons. The goal of ths po eseach has focused on estmatng the thoughput of such systems, and ncludes contnuous and dscete appoxmatons of automated wokstatons. These models have seved as the foundaton fo models developed to analyze a longe sees of automated wokstatons (wth fnte buffes usng numecal two-wokstaton decomposton appoxmatons. A evew of such models can be found n Dalley and Geshwn (199. Thee has been less eseach dected at developng explct analytcal models of an automated wokstaton wth an nfnte nput buffe, wth a focus on pedctng the wok-n-pocess o tme-n-system. In Altok (1997 M/G/1 queung esults wee appled to a system consstng of a sngle (possbly automated wokstaton wth Posson avals. The dstbuton of the numbe n system fo a wokstaton wth Posson avals, exponentally dstbuted tme between falues (both opeatng tme and elapsed tme, and phase-type epa tme dstbutons s examned n Altok (1997 usng contnuous tme Makov chan analyss. Anothe analyss appoach fo a sngle automated wokstaton wth an nfnte capacty nput buffe s to apply exstng geneal queung appoxmaton methods. Such methods ae employed n Hopp and Speaman (1. In Hopp and Speaman (1 two-moment G/G/1 queung model appoxmatons ae appled. G/G/1 appoxmatons have also been used as pat of softwae packages that estmate the pefomance of netwoks of wokstatons wth nfnte buffe capactes (Whtt, Thee ae multple two-moment G/G/1 appoxmaton models n use, as well as lnkng equatons that estmate the paametes of the nput pocess to a wokstaton as a functon of the po wokstatons paametes. Vaous G/G/1 appoxmatons and lnkng equatons ae summazed n Shanthkuma and Buzacott (198 and Buzzacott and Shanthkuma (1993. Because these models do not explctly model the opeaton of an automated wokstaton t s expected that they may not always pefom accuately, n patcula when the coeffcent of vaaton (CV of the nteaval and/o sevce pocess s hgh (Buzzacott and Shanthkuma, The emande of ths pape s oganzed as follows. In secton we pesent a Makov chan model fo an automated wokstaton wth nfnte nput buffe capacty ecevng ts jobs fom anothe automated wokstaton (assumed to always have wok. In secton 3, the expessons fo queue sze dstbuton, the aveage numbe n system, and the vaance of the numbe n system ae deved. In secton 4, the accuacy of the model s examned by compasons to smulatons and exstng G/G/1 appoxmatons.. MARKOV CHAI MODEL OF TWO AUTOMATED WORKSTATIOS I SERIES We develop a Makov chan model of an automated wokstaton wth nfnte nput buffe space, ecevng jobs fom anothe automated wokstaton wth an nfnte supply of unpocessed jobs. By assumng that the fst wokstaton always has jobs to pocess, the output pocess fom the fst wokstaton epesents output fom an automated wokstaton wth no nfluence of a andom aval pocess. Modelng the output pocess n the pesence of vaable nput s addessed n agaajan and Km (6, whee a sees of automated wokstatons s analyzed. The Makov chan model s a dscete tme model whee the fxed wokstaton pocessng tme t, seves as the dscete tme unt (t s assumed that both wokstatons poduce at the same speed when up. By the dscete natue of the model, the opeatng tmes between falues, and epa tmes wll follow geometc dstbutons as appoxmatons to exponental dstbutons. In most automated wokstatons, ths type of dscete appoxmaton s suffcently accuate snce the fxed pocessng tmes ae nomally much smalle than the tme between falues and epa tmes. The mechancs of the dscete tme Makov chan ae as follows: State tanstons occu at the end of each tme step. Any wokstaton that s down at the begnnng of a tme step may be epaed even f the wokstaton s empty at the begnnng of the tme step. A wokstaton that s up and not empty at the begnnng of a tme step wll complete ts job even f t moves to a down state at the end of the tme step. Any jobs completed at the end of a tme step ae moved out of the wokstatons and new jobs ae moved nto the wokstatons even f a wokstaton moves to a down state. ote that a job may be moved out of both wokstatons, and a job moved nto both wokstatons at the end of a tme step. Wokstatons that ae up at the begnnng of a tme step but dle because they ae staved, cannot change to a down state at the end of a tme step. We assume that the long-un pocessng capacty of the fst wokstaton s stctly less than that of the second wokstaton. Ths ensues that the numbe of jobs n the second wokstatons nput buffe wll not steadly ncease ove tme. The objectve of the model s to analyze the behavo of the second wokstaton and ts nput buffe, whch we wll efe to as the system. We let the state of the Makov chan at tme unt n, X =( n x,, 1 x, whee x = status of wokstaton, =1,

3 Km: A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton IJOR Vol. 7, o. 4, 9 18 (1 11 and x {,1}. x f the wokstaton s down a the begnnng of a tme step, and x 1 f the wokstaton s up a the begnnng of a tme step. s the numbe of jobs n wokstaton plus the numbe n ts nput buffe. We let p p kj denote the tanston pobablty matx fo ths Makov chan. If wokstaton s up and opeatng (an unpocessed job s n the wokstaton at the begnnng of the tme step, t emans up dung the tme step and may tanston to a down state wth pobablty f at the end of the tme step. The job beng pocessed n ths cycle wll be completed and moved out of the wokstaton. If wokstaton s down and unde epa at the begnnng of the tme step, t emans down dung the tme step and s epaed wth pobablty at the end of the tme step. If an unpocessed job was pesent n ths wokstaton at the begnnng of the tme step, the job emans unpocessed and stays n the wokstaton untl the wokstaton s epaed befoe beng pocessed. A state tanston dagam of the Makov chan model s shown n Fgue 1. umbe In System 1 3 (1,1 Machne Status (1, (,1... (, Fgue 1. State tanston dagam fo the Makov chan model. State = ( x1, x, whee s a column label and ( x1, x ae ow label. Dffeent maked tanstons (e.g., dashed epesent tanston fom states wth the same ( x1, x values. The tanston pobabltes between any two states n fgue 1 ae functons of the wokstaton status at tme n and n+1. Fo example, p (1,1,,(1,, the tanston pobablty fom state (1,1, to (1,, equals(1 f1 f. When thee ae no customes n the system (.e., wokstaton s staved, the tanston pobabltes eflect the assumpton that wokstaton cannot fal f t s staved. Snce the actual wokstatons ae assumed to have exponentally dstbuted opeatng tmes between falues, and epa tmes, the pobabltes f and ae computed as a functon of the fxed pocessng tme t, MTBF, and MTTR, MTBF s the mean opeatng tme between falues fo wokstaton, and MTTR s the mean epa tme fo wokstaton (both paametes of exponental dstbutons. The pobabltes f and ae computed such that the mean tme to pocess a job, and the vaance of the tme to complete a job (whch ncludes wokstaton downtme n the dscete model match that fo the actual wokstaton. Wthout loss of genealty let t 1, and let T the total tme spent by a job n wokstaton. In Km and Alden (1997 and Hopp and Speaman (1 t s shown that, MTBF MTTR ET [ ] (1 MTBF

4 Km: A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton IJOR Vol. 7, o. 4, 9 18 (1 1 * MTTR Va[ T ] ( MTBF Fo the dscete model t s staghtfowad to show that f. ET [ ] 1 To deve Va[ T ] as a functon of f and, let I 1 f a job just moves nto a wokstaton that has just faled, and I = othewse. By condtonng on the ndcato vaable I we get (agaajan and Km 6, E[ T ] E[ T I 1]* p( I 1 E[ T I ]* p( I k1 f ( E[ T ] ( k 1 (1 * f (1 *(1 f. k1 f ( f Va[ T ]. f and as functons of MTBF and MTTR f MTBF MTTR * MTBF * MTTR MTBF MTBF MTTR * MTBF * MTTR MTTR can then be expessed as: 3. DERIVATIOS OF THE AVERAGE UMBER I SYSTEM AD THE DISTRIBUTIO OF THE UMBER I SYSTEM To deve analytcal expessons fo the aveage numbe n system and the dstbuton of the numbe of jobs n the system, we take advantage of the tanston stuctue of the Makov chan, and Makov chan aggegaton/dsaggegaton esults (Fenbeg and Chu, 1987, Km and Smth, Fgue 1 was dawn n such a way that the numbe n system defnes a natual pattonng of the system states. Followng the temnology defned n Km and Smth (1995, a set of fou states n the Makov chan that epesent the same numbe n system wll fom a macostate. A Makov chan s n a patcula macostate wheneve t s n any state contaned n the macostate. The tanstons fom macostate to macostate also consttute a Makov chan (Km and Smth, The soluton to ths macostate Makov chan epesents the soluton to the queung model snce the macostates epesent the numbe n system, and the macostate Makov chan steady state pobabltes wll equal the sum of the steady state pobabltes of all states contaned n the macostate (Km and Smth, A dagam of the macostate Makov chan s shown n fgue Fgue. Macostate Makov chan model. 3.1 Mcostate Makov Chan Tanston Pobabltes One method to compute the tanston pobabltes of the macostate Makov chan (tanston pobablty matx denoted by P, s to examne the states wthn each ndvdual macostate n solaton whee all tanstons afte a macostate s left ae gnoed. The states wthn a macostate ae efeed to as mcostates, and the pocess ealzed by vewng the mcostates n solaton consttutes a Makov chan (Km and Smth, These Makov

5 Km: A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton IJOR Vol. 7, o. 4, 9 18 (1 13 chans ae efeed to as mcostate Makov chans. If the steady state pobabltes of the mcostate Makov chan ae known, then they can be used to calculate the macostate Makov chan tanston pobabltes (Km and Smth, To fnd the tanston pobabltes of the mcostate Makov chans (denoted by p fo the mcostate chan assocated wth customes n system we take advantage of the tanston stuctue. Consde the mcostate chan that coesponds to zeo customes/jobs n the system. All tanstons leavng the set of states contaned n ths chan must eventually etun to these states (due to egodcty, and e-ente the set of states fom only a sngle state. Thus the tanston pobabltes fo those tanstons leavng the mcostate Makov chan ae known. Ths s shown n Fgue 3. umbe In System (1,1 (1, 1 ( 1 f 1 f 1 Tanstons leavng the mcostate chan Machne Status (,1 ( 1 (1 f 1 (, ( 1 f 1 Fgue 3. Fndng the mcostate Makov chan tanston pobabltes. The tanston pobablty matx fo the mcostate Makov chan fo zeo customes/jobs n the system s, p (1,1 (1, (,1 (, (1,1 1 (1 f 1 f (1 1 (1 f (1 1 f (1, 1 (1 f 1 f (1 1 (1 f (1 1 f (,1 1 (1 1 (, 1 1 (1 (1 1 (1 1 (1. We next addess the mcostate Makov chan tanston pobabltes when thee ae two o moe customes n the system. In fgue 1 t can be seen that all tanstons that ncease the numbe n system occu when wokstaton 1 s up and wokstaton s down. Smlaly all tanstons that decease the numbe n system occu when wokstaton 1 s down and wokstaton s up. Futhemoe the Makov chan stuctue (tanstons nto, wthn, leavng fo the mcostate Makov chans fo a numbe n system of two o geate s the same. Theefoe I J p p fo I, J. Usng smla easonng as used to fnd p, when tanstons leave the states n a mcostate chan to the left, they etun to the mcostate chan va a sngle state. Also when tanstons leave the states n a mcostate chan to the ght, they also etun to the mcostate chan va a sngle state. Theefoe we get,

6 Km: A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton IJOR Vol. 7, o. 4, 9 18 (1 14 p (1,1 (1, (,1 (, (1,1 (1 f1(1 f (1 f1 f f1(1 f f1 f (1, 1 (1 f 1 f (1 1 (1 f (1 1 f (,1 (1 f1 (1 f1(1 f1 f1(1 (, 1 1 (1 (1 1 (1 1 (1 f fo. I To fnd p eques knowledge of the steady state pobabltes of p snce tanstons leavng the mcostate chan (fo one n the system to the left n fgue 1 may etun to the mcostate chan va two dffeent states (as shown n fgues 1 and 3. Let [ 1,1, 1,,,1,,] epesent the steady state pobabltes of the mcostate Makov chan fo n the system, whee epesentng wokstaton 1 n state, and wokstaton n state j. Let Then, s the steady state pobablty fo the mcostate, j c 1,1. ( 1,1 1, (1,1 (1, (,1 (1,1 (1,1 (1 f1(1 f (1 f1 f f1(1 f f1 f 1 (1, 1 (1 f 1 f (1 1 (1 f (1 1 f p. (,1 c(1 f1 (1 c(1 f1 (1 c(1 f1(1 cf1 (1 c f1 (1 c f1(1 (, 1 1 (1 (1 1 (1 1 (1 3.. Mcostate Makov Chan Solutons It s possble to deve manageable analytcal solutons fo the mcostate Makov chans as functons of the wokstaton falue and epa pobabltes, snce they ae only fou-state Makov chans. The solutons fo the mcostate chans satsfy p,, 1,1 1,,1, 1, and thus epesent the unque steady state soluton to the mcostate Makov chans. Although we ae pmaly nteested n the steady state pobabltes fo those mcostates that have tanstons out of the set of mcostates, all mcostate steady state pobabltes have been deved. These steady state solutons ae pesented next. Let a f1 f f1 f and b 1 1 Mcostate Makov chan steady state pobabltes fo. f 1 1,1 1 b f 1 1, b ( f1 f1,1 1 b f1 f1, b (1 Mcostate Makov chan steady state pobabltes fo 1. (( a 1 ( 1 bf f f ( b f ,1 bf 1 b f 1 b 1 f1 f b f a f1 f1 ( 1 ( 1( ( (3 1

7 Km: A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton IJOR Vol. 7, o. 4, 9 18 ( f( b f1 1, bf 1 b f 1 b 1 f1 f b f a f1 f1 ( 1 ( 1( ( (3 1 b( b f ( a f 1 1 1,1 bf 1 b f 1 b 1 f1 f b f a f1 f1 ( 1 ( 1( ( (3 1 f ( b f ( a f 1 1 1, bf 1 b f 1 b 1 f1 f b f a f1 f1 ( 1 ( 1( ( (3 1 Mcostate Makov chan steady state pobabltes fo. ( b f *( b f 1 1 1,1 ( a b f1 f1 ( b f *( a f 1 1 1, ( a b f1 f1 ( a f *( b f 1 1,1 ( a b f1 f1 ( a f *( a f 1 1, ( a b f1 f Macostate Makov Chan Soluton and Queung Model Results Let P [ P IJ ] be the tanston pobablty matx fo the macostate Makov chan. The macostate Makov chan depcted n Fgue has the followng tanston pobablty matx stuctue and values fo P IJ. In ths secton s always ( ( P 1 1 ( ( The tanston pobabltes ae computed fom the esults of the mcostate Makov chan analyss. Tanston pobabltes fo a macostate ae computed as weghted aveages usng the mcostate chan steady pobabltes as weghts. Fo example, a tanston pobablty fo a tanston to the ght s the weghted sum ove the states wthn the mcostate chan, multpled by the pobablty of a tanston to the ght. That s, I I, I 1 (, j * p(, j, I,( m, n, I 1 (, j ( m, n P whee (, j,( m, n {(1,1,(1,,(,1,(,}. Let [, 1,, ] epesent the steady state pobabltes of P. Because of the smple stuctue (tme evesble of the macostate Makov chan, t s staghtfowad to show that,

8 Km: A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton IJOR Vol. 7, o. 4, 9 18 ( K * 1 11 (3 1 K * ( K whee fo (5 1 ( K ( ( (6 K can be expessed as a functon of f and, f ( f b ( f f K ( f a( f ( f b (7 Equatons 3-7 epesent the pobablty dstbuton of the numbe of jobs n the second wokstaton and ts nput buffe. Expessons fo the aveage and the vaance of the numbe n system can then be obtaned fom equatons 3-7. Lettng q 1, and s 1 to smplfy the notaton, and lettng C = the numbe n system gves, 3 K 1 s s s Aveage umbe n System E[ C] K 3K 4K 5K q 1 q q q Smplfyng we get, 1 q s Aveage umbe n System K 1 1 ( q s The aveage numbe n system can be expessed as a functon of f and, Aveage umbe n System 1( f f b f ( f f ( f The vaance of the numbe n system s found by fst fndng E[C ] and then subtactng E[C], 3 K 1 3 s 4 s 5 s E[ C ] K 3 K 4 K 5 K q 1 q q q q ( q s K. 1 3 s s 1 ( q s Subtactng EC gves, 1 1 q s 4q 3qs s Vaance of the umbe n System K K ( q s ( q s 4. COMPARISO WITH TWO-MOMET G/G/1 APPROXIMATIOS AD SIMULATIOS As mentoned n secton 1, one appoach fo analyzng automated wokstatons ecevng nput fom automated wokstatons s the applcaton of geneal two-moment G/G/1 appoxmatons. Anothe moe tme consumng appoach s to use smulaton. In ths secton we show how the cuent model pefoms wth espect to pedctng the aveage numbe n system when compaed aganst smulaton esults and two popula G/G/1 appoxmatons. The system used n these compasons can be thought of as two automated wokstatons n sees, whee the fst wokstaton always has jobs to pocess. Unde ths system descpton the mean and vaance of the job ntedepatue tmes fom the fst wokstaton may be found usng equatons (1 and (. Smlaly the mean and vaance of the pocessng tmes (actual wok tme plus downtme at the second wokstaton can be calculated. Wth these values computed a numbe of two-moment G/G/1 appoxmatons may be appled to estmate the numbe of jobs n the second wokstaton and ts queue. The two G/G/1 appoxmatons used hee ae appoxmatons,. (1 (8 (9

9 Km: A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton IJOR Vol. 7, o. 4, 9 18 (1 17 fo the aveage numbe n queue fom Sakasegawa (1977 and Yu (1977, and Kame and Lagenbach-Belz (1976. The appoxmatons n Sakasegawa (1977 and Yu (1977 ae the same as that used n Hopp and Speaman (1. Whtt (1983 uses an appoxmaton that s the appoxmaton n Kame and Lagenbach-Belz (1976 when the squaed coeffcent of vaaton of the nteaval tmes s less than one, and s the appoxmaton n Sakasegawa (1977 and Yu (1977 when the squae coeffcent of vaaton of the nteaval tmes s geate than one. By addng the wokstaton utlzaton to these appoxmatons we get an estmate fo the aveage numbe n system. The cuent model s compaed to smulaton esults of a contnuous tme system wth exponentally dstbuted opeatng tmes between falues and epa tmes, to estmate the mpact of the dscete model appoxmaton. The smulaton esults wll also seve as the best estmate of the aveage numbe n system. A vaety of systems wee smulated to epesent dffeent nteaval and sevce tme coeffcents of vaaton, and dffeent wokstaton-two utlzatons. Wthn each sevce tme coeffcent of vaaton and utlzaton ange, dffeent systems wee smulated. Each smulaton stated wth a 1, tme unt wam-up (the fxed pocessng tme fo a sngle job s one tme unt. Afte the wam-up peod, the smulatons wee un untl 1,, jobs wee completed on the second wokstaton. 3 eplcatons wee conducted and the best estmate fo a systems aveage numbe n system was taken as the aveage of the 3 eplcatons. A summay of the smulaton esults s pesented n Table 1. In Table 1, the smulaton esults ae sepaated nto test sets. Wthn each set the ange fo the wokstaton pocessng tme (wok tme plus downtme and nteaval tme coeffcents of vaaton, and utlzatons fo the second wokstaton ae shown. The esults pesented ae the aveage, maxmum, and mnmum (ove the numbe of systems wthn a test set absolute pecent dffeence fom smulaton. The aveage pecent dffeences n Table 1 ae plotted ove the test sets n Fgue 4. As can be seen, the pefomance of the model s vey consstent ove a ange of wokstaton coeffcents of vaaton and utlzatons. Also, the aveage eos when usng G/G/1 appoxmatons can be vey lage. In geneal the appoxmaton of Kame and Lagenbach-Belz (1976 outpefoms the appoxmaton n Sakasegawa (1977 and Yu (1977 although they ae vey smla n pefomance. Ths s not supsng snce they ae vey smla n functonal fom. Addtonally the esults confm that the G/G/1 appoxmatons do pefom bette fo hghe utlzatons. Both appoxmatons can be vewed as modfcatons of the uppe bound n Kngman (196 fo a G/G/1 queue, whch becomes tghte as utlzaton appoaches one. Table 1. Summay of compasons the model wth smulaton and two-moment G/G/1 appoxmatons Absolute Pecent Dffeence Fom Smulaton Test Set Wokstaton Wokstaton o. of ew Model Sakasegawa-Yu KLB umbe CV Range Utl. Range Systems Avg. Max Mn Avg. Max Mn Avg. Max Mn 1 to 1 8%-9% 3.14% 9.81%.6% 6.6% 59.4%.71%.8% 58.97%.77% 1 to 8%-9% 1.49% 5.35%.3% 18.1% 61.76%.6% 16.14% 6.99%.65% 3 to 3 8%-9%.1% 6.1%.3% 3.1% 91.44% 5.93% 8.31% 83.76% 3.% 4 3 to 4 8%-9%.37% 4.88%.8% 3.7% 78.73% 4.75%.16% 69.99% 3.49% 5 4 to 5 8%-9% 1.86% 5.84%.6%.8% 56.49%.1% 16.95% 5.96%.54% 6 to 1 9%-95% 1.83% 5.88%.1% 16.74% 6.95% 1.43% 1.67% 51.13%.87% 7 1 to 9%-95% 1.3%.6%.% 16.5% 69.88%.3% 15.3% 67.41%.46% 8 to 3 9%-95% 1.77% 4.4%.8% 1.% 69.39%.44% 1.98% 66.4%.8% 9 3 to 4 9%-95% 1.18% 3.89%.1% 1.56% 76.66%.15% 11.9% 7.36%.7% 1 4 to 5 9%-95%.44% 5.85%.% 13.18% 35.5% 1.97% 11.66% 33.6% 3.34% 11 to 5 8%-95% 1.7% 6.1%.4%.59% 19.74%.9% 18.4% 93.79%.4% 5. SUMMARY In ths eseach we have developed an analytcal model fo the aveage numbe n queue, the vaance of the numbe n queue, and queue sze dstbuton fo an automated seve, whch eceves nputs fom an automated wokstaton. The analytcal soluton s deved fom a dscete tme Makov chan model of two automated wokstatons n sees wth nfnte buffe capacty. We show that the analytcal model pefoms much bette on aveage than two-moment G/G/1 appoxmatons appled to such systems. In such automated systems t s vey possble to have lage coeffcents of vaaton fo the tme jobs spend n the wokstaton. The analytcal expessons deved ae moe complcated than exstng two-moment G/G/1 appoxmatons, yet they ae vey easly mplemented n speadsheets. The next step n ths eseach s to examne moe than two wokstatons n sees. Ths has been conducted n agaajan and Km (6, whee two-moment lnkng equatons ae developed to estmate the mean and vaance of wokstaton ntedepatue tmes. Addtonal extensons ae to wokstatons that can pocess multple jobs n paallel, and to sees of wokstatons that have dffeent fxed job pocessng tmes.

10 Abs. % Dffeence n Avg. # n System Km: A Queung Model fo an Automated Wokstaton Recevng Jobs fom an Automated Wokstaton IJOR Vol. 7, o. 4, 9 18 ( % Aveage % Dffeence Fom Smulaton ( Systems Pe Test Set 3.% 5.%.% 15.% 1.% ew Model Saka.- Yu KL-Belz 5.%.% Test Set umbe Fgue 4. Aveage pecent dffeence n the tme aveage numbe n system. The aveage pecent dffeence s taken ove systems wthn a test set. REFERECE 1. Altok, T. (1997. Pefomance Analyss of Manufactung Systems, Spnge-Velag, ew Yok... Buzacott, J. A. and Shanthkuma, J. G. (1993. Stochastc Models of Manufactung Systems, Pentce-Hall Intenatonal Sees n Industal Engneeng. 3. Dalley, Y. and Geshwn, S.B. (199. Manufactung Flow Lne Systems: A Revew of Models and Analytcal Results, Queueng Systems: Theoy and Applcatons, 1: Fenbeg, B.. and Chu, S.S. (1987. A Method to Calculate Steady State Dstbutons of Lage Makov Chans, Opeatons Reseach, 35(: Geshwn, S.B. (199. Vaance of Output of a Tandem Poducton System, Poceedngs of The Second Intenatonal Wokshop on Queung etwoks wth Fnte Capacty, IBM-Reseach Tangle Pak, oth Caolna, May Hopp, W.J. and Speaman, M.L. (1. Factoy Physcs, nd Edton, Iwn McGaw-Hll. 7. Inman, R.R. (1999. Empcal evaluaton of exponental and ndependence assumptons n queueng models of manufactung systems, Poducton and Opeatons Management, 8(4: Km, D.S. and Alden, J.M. (1997. Estmatng the Tme to Poduce a Fxed Lot Sze on a Wokstaton wth Detemnstc Pocessng Tmes and Random Falues and Repas, Intenatonal Jounal of Poducton Reseach, 35(1: Km, D.S. and Smth, R.L. (1995. An Exact Aggegaton/Dsaggegaton Algothm fo Lage Scale Makov Chans, aval Reseach Logstcs, 4: Kngman, J.F.C. (196. Some Inequaltes fo the Queue GI/G/1, Bometca, 49: Kame, W. and Lagenbach-Belz, M. (1976. Appoxmate Fomulae fo the Delay n the Queueng system GI/G/1, Poceedngs of the Eghth Intenatonal Teletaffc Congess, Melboune, 1-17 ovembe, 35: agaajan, R.D. (3. Lnkng equatons fo the analyss of a seal automated wokstaton system, Maste of Scence Thess, Depatment of Industal and Manufactung Engneeng, Oegon State Unvesty, ovembe agaajan, R.D.. and Km, D.S. (6. Two-Moment Appoxmatons fo Analyzng a Sees of Automated Wokstatons, Intenatonal Jounal of Poducton Reseach, 44(6: Sakasegawa, H. (1977. An Appoxmaton Fomula / (1, Ann. Inst Statstcal Math., Tokyo, 9, A. L q 15. Shanthkuma, J. G. and Buzacott, J. A., (198. On the Appoxmatons to the Sngle Seve Queue, Intenatonal Jounal of Poducton Reseach, 18(6: Whtt, W., (1983. The Queueng etwok Analyze, The Bell System Techncal Jounal, 6(9, Yu, P.S. (1977. On Accuacy Impovement and Applcablty Condtons of Dffuson Appoxmaton wth Applcatons to Modelng of Compute Systems, TR-19 (Dgtal Systems Laboatoy, Stanfod Unvesty.

Multistage Median Ranked Set Sampling for Estimating the Population Median

Multistage Median Ranked Set Sampling for Estimating the Population Median Jounal of Mathematcs and Statstcs 3 (: 58-64 007 ISSN 549-3644 007 Scence Publcatons Multstage Medan Ranked Set Samplng fo Estmatng the Populaton Medan Abdul Azz Jeman Ame Al-Oma and Kamaulzaman Ibahm

More information

Thermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering

Thermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering Themodynamcs of solds 4. Statstcal themodynamcs and the 3 d law Kwangheon Pak Kyung Hee Unvesty Depatment of Nuclea Engneeng 4.1. Intoducton to statstcal themodynamcs Classcal themodynamcs Statstcal themodynamcs

More information

Analysis of Queuing Model for Machine Repairing System with Bernoulli Vacation Schedule

Analysis of Queuing Model for Machine Repairing System with Bernoulli Vacation Schedule Intenatonal Jounal of Mathematcs Tends and Technology Volume 10 Numbe 2 Jun 2014 Analyss of Queung Model fo Machne epang System wth Benoull Vacaton Schedule.K. Shvastava #1, Awadhesh Kuma Msha *2 1# Pofesso

More information

P 365. r r r )...(1 365

P 365. r r r )...(1 365 SCIENCE WORLD JOURNAL VOL (NO4) 008 www.scecncewoldounal.og ISSN 597-64 SHORT COMMUNICATION ANALYSING THE APPROXIMATION MODEL TO BIRTHDAY PROBLEM *CHOJI, D.N. & DEME, A.C. Depatment of Mathematcs Unvesty

More information

N = N t ; t 0. N is the number of claims paid by the

N = N t ; t 0. N is the number of claims paid by the Iulan MICEA, Ph Mhaela COVIG, Ph Canddate epatment of Mathematcs The Buchaest Academy of Economc Studes an CECHIN-CISTA Uncedt Tac Bank, Lugoj SOME APPOXIMATIONS USE IN THE ISK POCESS OF INSUANCE COMPANY

More information

Optimal System for Warm Standby Components in the Presence of Standby Switching Failures, Two Types of Failures and General Repair Time

Optimal System for Warm Standby Components in the Presence of Standby Switching Failures, Two Types of Failures and General Repair Time Intenatonal Jounal of ompute Applcatons (5 ) Volume 44 No, Apl Optmal System fo Wam Standby omponents n the esence of Standby Swtchng Falues, Two Types of Falues and Geneal Repa Tme Mohamed Salah EL-Shebeny

More information

UNIT10 PLANE OF REGRESSION

UNIT10 PLANE OF REGRESSION UIT0 PLAE OF REGRESSIO Plane of Regesson Stuctue 0. Intoducton Ojectves 0. Yule s otaton 0. Plane of Regesson fo thee Vaales 0.4 Popetes of Resduals 0.5 Vaance of the Resduals 0.6 Summay 0.7 Solutons /

More information

Correspondence Analysis & Related Methods

Correspondence Analysis & Related Methods Coespondence Analyss & Related Methods Ineta contbutons n weghted PCA PCA s a method of data vsualzaton whch epesents the tue postons of ponts n a map whch comes closest to all the ponts, closest n sense

More information

The Greatest Deviation Correlation Coefficient and its Geometrical Interpretation

The Greatest Deviation Correlation Coefficient and its Geometrical Interpretation By Rudy A. Gdeon The Unvesty of Montana The Geatest Devaton Coelaton Coeffcent and ts Geometcal Intepetaton The Geatest Devaton Coelaton Coeffcent (GDCC) was ntoduced by Gdeon and Hollste (987). The GDCC

More information

Bayesian Assessment of Availabilities and Unavailabilities of Multistate Monotone Systems

Bayesian Assessment of Availabilities and Unavailabilities of Multistate Monotone Systems Dept. of Math. Unvesty of Oslo Statstcal Reseach Repot No 3 ISSN 0806 3842 June 2010 Bayesan Assessment of Avalabltes and Unavalabltes of Multstate Monotone Systems Bent Natvg Jøund Gåsemy Tond Retan June

More information

A. Thicknesses and Densities

A. Thicknesses and Densities 10 Lab0 The Eath s Shells A. Thcknesses and Denstes Any theoy of the nteo of the Eath must be consstent wth the fact that ts aggegate densty s 5.5 g/cm (ecall we calculated ths densty last tme). In othe

More information

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints.

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints. Mathematcal Foundatons -1- Constaned Optmzaton Constaned Optmzaton Ma{ f ( ) X} whee X {, h ( ), 1,, m} Necessay condtons fo to be a soluton to ths mamzaton poblem Mathematcally, f ag Ma{ f ( ) X}, then

More information

Set of square-integrable function 2 L : function space F

Set of square-integrable function 2 L : function space F Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,

More information

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS ultscence - XXX. mcocd Intenatonal ultdscplnay Scentfc Confeence Unvesty of skolc Hungay - pl 06 ISBN 978-963-358-3- COPLEENTRY ENERGY ETHOD FOR CURVED COPOSITE BES Ákos József Lengyel István Ecsed ssstant

More information

3. A Review of Some Existing AW (BT, CT) Algorithms

3. A Review of Some Existing AW (BT, CT) Algorithms 3. A Revew of Some Exstng AW (BT, CT) Algothms In ths secton, some typcal ant-wndp algothms wll be descbed. As the soltons fo bmpless and condtoned tansfe ae smla to those fo ant-wndp, the pesented algothms

More information

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences Geneatng Functons, Weghted and Non-Weghted Sums fo Powes of Second-Ode Recuence Sequences Pantelmon Stăncă Aubun Unvesty Montgomey, Depatment of Mathematcs Montgomey, AL 3614-403, USA e-mal: stanca@studel.aum.edu

More information

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c nd Intenatonal Confeence on Electcal Compute Engneeng and Electoncs (ICECEE 15) Dstnct 8-QAM+ Pefect Aays Fanxn Zeng 1 a Zhenyu Zhang 1 b Lnje Qan 1 c 1 Chongqng Key Laboatoy of Emegency Communcaton Chongqng

More information

4 Recursive Linear Predictor

4 Recursive Linear Predictor 4 Recusve Lnea Pedcto The man objectve of ths chapte s to desgn a lnea pedcto wthout havng a po knowledge about the coelaton popetes of the nput sgnal. In the conventonal lnea pedcto the known coelaton

More information

Space-time Queuing Theoretic Modeling of Opportunistic Multi-hop Coexisting Wireless Networks With and Without Cooperation

Space-time Queuing Theoretic Modeling of Opportunistic Multi-hop Coexisting Wireless Networks With and Without Cooperation Space-tme Queung Theoetc Modelng of Oppotunstc Mult-hop Coexstng Weless Netwoks Wth and Wthout Coopeaton 1 Dbaka Das, Electcal, Compute and Systems Engneeng Rensselae Polytechnc Insttute Toy, NY 12180

More information

8 Baire Category Theorem and Uniform Boundedness

8 Baire Category Theorem and Uniform Boundedness 8 Bae Categoy Theoem and Unfom Boundedness Pncple 8.1 Bae s Categoy Theoem Valdty of many esults n analyss depends on the completeness popety. Ths popety addesses the nadequacy of the system of atonal

More information

Learning the structure of Bayesian belief networks

Learning the structure of Bayesian belief networks Lectue 17 Leanng the stuctue of Bayesan belef netwoks Mlos Hauskecht mlos@cs.ptt.edu 5329 Sennott Squae Leanng of BBN Leanng. Leanng of paametes of condtonal pobabltes Leanng of the netwok stuctue Vaables:

More information

Variability, Randomness and Little s Law

Variability, Randomness and Little s Law Vaalty, Randomness and Lttle s Law Geoge Leopoulos Lttle s Law Assumptons Any system (poducton system) n whch enttes (pats) ave, spend some tme (pocessng tme + watng) and eventually depat Defntons = (long-un

More information

A Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions

A Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions A Bef Gude to Recognzng and Copng Wth Falues of the Classcal Regesson Assumptons Model: Y 1 k X 1 X fxed n epeated samples IID 0, I. Specfcaton Poblems A. Unnecessay explanatoy vaables 1. OLS s no longe

More information

Khintchine-Type Inequalities and Their Applications in Optimization

Khintchine-Type Inequalities and Their Applications in Optimization Khntchne-Type Inequaltes and The Applcatons n Optmzaton Anthony Man-Cho So Depatment of Systems Engneeng & Engneeng Management The Chnese Unvesty of Hong Kong ISDS-Kolloquum Unvestaet Wen 29 June 2009

More information

an application to HRQoL

an application to HRQoL AlmaMate Studoum Unvesty of Bologna A flexle IRT Model fo health questonnae: an applcaton to HRQoL Seena Boccol Gula Cavn Depatment of Statstcal Scence, Unvesty of Bologna 9 th Intenatonal Confeence on

More information

A Study about One-Dimensional Steady State. Heat Transfer in Cylindrical and. Spherical Coordinates

A Study about One-Dimensional Steady State. Heat Transfer in Cylindrical and. Spherical Coordinates Appled Mathematcal Scences, Vol. 7, 03, no. 5, 67-633 HIKARI Ltd, www.m-hka.com http://dx.do.og/0.988/ams.03.38448 A Study about One-Dmensonal Steady State Heat ansfe n ylndcal and Sphecal oodnates Lesson

More information

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle 1 PHYS 705: Classcal Mechancs Devaton of Lagange Equatons fom D Alembet s Pncple 2 D Alembet s Pncple Followng a smla agument fo the vtual dsplacement to be consstent wth constants,.e, (no vtual wok fo

More information

Tian Zheng Department of Statistics Columbia University

Tian Zheng Department of Statistics Columbia University Haplotype Tansmsson Assocaton (HTA) An "Impotance" Measue fo Selectng Genetc Makes Tan Zheng Depatment of Statstcs Columba Unvesty Ths s a jont wok wth Pofesso Shaw-Hwa Lo n the Depatment of Statstcs at

More information

V. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. "Flux": = da i. "Force": = -Â g a ik k = X i. Â J i X i (7.

V. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. Flux: = da i. Force: = -Â g a ik k = X i. Â J i X i (7. Themodynamcs and Knetcs of Solds 71 V. Pncples of Ievesble Themodynamcs 5. Onsage s Teatment s = S - S 0 = s( a 1, a 2,...) a n = A g - A n (7.6) Equlbum themodynamcs detemnes the paametes of an equlbum

More information

On Maneuvering Target Tracking with Online Observed Colored Glint Noise Parameter Estimation

On Maneuvering Target Tracking with Online Observed Colored Glint Noise Parameter Estimation Wold Academy of Scence, Engneeng and Technology 6 7 On Maneuveng Taget Tacng wth Onlne Obseved Coloed Glnt Nose Paamete Estmaton M. A. Masnad-Sha, and S. A. Banan Abstact In ths pape a compehensve algothm

More information

PARAMETER ESTIMATION FOR TWO WEIBULL POPULATIONS UNDER JOINT TYPE II CENSORED SCHEME

PARAMETER ESTIMATION FOR TWO WEIBULL POPULATIONS UNDER JOINT TYPE II CENSORED SCHEME Sept 04 Vol 5 No 04 Intenatonal Jounal of Engneeng Appled Scences 0-04 EAAS & ARF All ghts eseed wwweaas-ounalog ISSN305-869 PARAMETER ESTIMATION FOR TWO WEIBULL POPULATIONS UNDER JOINT TYPE II CENSORED

More information

INTERVAL ESTIMATION FOR THE QUANTILE OF A TWO-PARAMETER EXPONENTIAL DISTRIBUTION

INTERVAL ESTIMATION FOR THE QUANTILE OF A TWO-PARAMETER EXPONENTIAL DISTRIBUTION Intenatonal Jounal of Innovatve Management, Infomaton & Poducton ISME Intenatonalc0 ISSN 85-5439 Volume, Numbe, June 0 PP. 78-8 INTERVAL ESTIMATION FOR THE QUANTILE OF A TWO-PARAMETER EXPONENTIAL DISTRIBUTION

More information

Scalars and Vectors Scalar

Scalars and Vectors Scalar Scalas and ectos Scala A phscal quantt that s completel chaacteed b a eal numbe (o b ts numecal value) s called a scala. In othe wods a scala possesses onl a magntude. Mass denst volume tempeatue tme eneg

More information

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS Intenatonal Jounal of Mathematcal Engneeng Scence ISSN : 22776982 Volume Issue 4 (Apl 202) http://www.mes.com/ https://stes.google.com/ste/mesounal/ APPLICATIONS OF SEMIGENERALIZED CLOSED SETS G.SHANMUGAM,

More information

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M Dola Bagayoko (0) Integal Vecto Opeatons and elated Theoems Applcatons n Mechancs and E&M Ι Basc Defnton Please efe to you calculus evewed below. Ι, ΙΙ, andιιι notes and textbooks fo detals on the concepts

More information

Queueing Networks II Network Performance

Queueing Networks II Network Performance Queueng Networks II Network Performance Davd Tpper Assocate Professor Graduate Telecommuncatons and Networkng Program Unversty of Pttsburgh Sldes 6 Networks of Queues Many communcaton systems must be modeled

More information

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems Engneeng echancs oce esultants, Toques, Scala oducts, Equvalent oce sstems Tata cgaw-hll Companes, 008 Resultant of Two oces foce: acton of one bod on anothe; chaacteed b ts pont of applcaton, magntude,

More information

On the Latency Bound of Deficit Round Robin

On the Latency Bound of Deficit Round Robin Poceedngs of the Intenatonal Confeence on Compute Communcatons and Netwoks Mam, Floda, USA, Octobe 4 6, 22 On the Latency Bound of Defct Round Robn Sall S. Kanhee and Hash Sethu Depatment of ECE, Dexel

More information

Chapter Fifiteen. Surfaces Revisited

Chapter Fifiteen. Surfaces Revisited Chapte Ffteen ufaces Revsted 15.1 Vecto Descpton of ufaces We look now at the vey specal case of functons : D R 3, whee D R s a nce subset of the plane. We suppose s a nce functon. As the pont ( s, t)

More information

Physics 2A Chapter 11 - Universal Gravitation Fall 2017

Physics 2A Chapter 11 - Universal Gravitation Fall 2017 Physcs A Chapte - Unvesal Gavtaton Fall 07 hese notes ae ve pages. A quck summay: he text boxes n the notes contan the esults that wll compse the toolbox o Chapte. hee ae thee sectons: the law o gavtaton,

More information

ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION

ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION IJMMS 3:37, 37 333 PII. S16117131151 http://jmms.hndaw.com Hndaw Publshng Cop. ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION ADEM KILIÇMAN Receved 19 Novembe and n evsed fom 7 Mach 3 The Fesnel sne

More information

Rigid Bodies: Equivalent Systems of Forces

Rigid Bodies: Equivalent Systems of Forces Engneeng Statcs, ENGR 2301 Chapte 3 Rgd Bodes: Equvalent Sstems of oces Intoducton Teatment of a bod as a sngle patcle s not alwas possble. In geneal, the se of the bod and the specfc ponts of applcaton

More information

Chapter 13 - Universal Gravitation

Chapter 13 - Universal Gravitation Chapte 3 - Unesal Gataton In Chapte 5 we studed Newton s thee laws of moton. In addton to these laws, Newton fomulated the law of unesal gataton. Ths law states that two masses ae attacted by a foce gen

More information

An Approach to Inverse Fuzzy Arithmetic

An Approach to Inverse Fuzzy Arithmetic An Appoach to Invese Fuzzy Athmetc Mchael Hanss Insttute A of Mechancs, Unvesty of Stuttgat Stuttgat, Gemany mhanss@mechaun-stuttgatde Abstact A novel appoach of nvese fuzzy athmetc s ntoduced to successfully

More information

Approximate Abundance Histograms and Their Use for Genome Size Estimation

Approximate Abundance Histograms and Their Use for Genome Size Estimation J. Hlaváčová (Ed.): ITAT 2017 Poceedngs, pp. 27 34 CEUR Wokshop Poceedngs Vol. 1885, ISSN 1613-0073, c 2017 M. Lpovský, T. Vnař, B. Bejová Appoxmate Abundance Hstogams and The Use fo Genome Sze Estmaton

More information

Analytical and Numerical Solutions for a Rotating Annular Disk of Variable Thickness

Analytical and Numerical Solutions for a Rotating Annular Disk of Variable Thickness Appled Mathematcs 00 43-438 do:0.436/am.00.5057 Publshed Onlne Novembe 00 (http://www.scrp.og/jounal/am) Analytcal and Numecal Solutons fo a Rotatng Annula Ds of Vaable Thcness Abstact Ashaf M. Zenou Daoud

More information

Professor Wei Zhu. 1. Sampling from the Normal Population

Professor Wei Zhu. 1. Sampling from the Normal Population AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple

More information

Exact Simplification of Support Vector Solutions

Exact Simplification of Support Vector Solutions Jounal of Machne Leanng Reseach 2 (200) 293-297 Submtted 3/0; Publshed 2/0 Exact Smplfcaton of Suppot Vecto Solutons Tom Downs TD@ITEE.UQ.EDU.AU School of Infomaton Technology and Electcal Engneeng Unvesty

More information

Vibration Input Identification using Dynamic Strain Measurement

Vibration Input Identification using Dynamic Strain Measurement Vbaton Input Identfcaton usng Dynamc Stan Measuement Takum ITOFUJI 1 ;TakuyaYOSHIMURA ; 1, Tokyo Metopoltan Unvesty, Japan ABSTRACT Tansfe Path Analyss (TPA) has been conducted n ode to mpove the nose

More information

AN EXACT METHOD FOR BERTH ALLOCATION AT RAW MATERIAL DOCKS

AN EXACT METHOD FOR BERTH ALLOCATION AT RAW MATERIAL DOCKS AN EXACT METHOD FOR BERTH ALLOCATION AT RAW MATERIAL DOCKS Shaohua L, a, Lxn Tang b, Jyn Lu c a Key Laboatoy of Pocess Industy Automaton, Mnsty of Educaton, Chna b Depatment of Systems Engneeng, Notheasten

More information

Physics 11b Lecture #2. Electric Field Electric Flux Gauss s Law

Physics 11b Lecture #2. Electric Field Electric Flux Gauss s Law Physcs 11b Lectue # Electc Feld Electc Flux Gauss s Law What We Dd Last Tme Electc chage = How object esponds to electc foce Comes n postve and negatve flavos Conseved Electc foce Coulomb s Law F Same

More information

Machine Learning. Spectral Clustering. Lecture 23, April 14, Reading: Eric Xing 1

Machine Learning. Spectral Clustering. Lecture 23, April 14, Reading: Eric Xing 1 Machne Leanng -7/5 7/5-78, 78, Spng 8 Spectal Clusteng Ec Xng Lectue 3, pl 4, 8 Readng: Ec Xng Data Clusteng wo dffeent ctea Compactness, e.g., k-means, mxtue models Connectvty, e.g., spectal clusteng

More information

Some Approximate Analytical Steady-State Solutions for Cylindrical Fin

Some Approximate Analytical Steady-State Solutions for Cylindrical Fin Some Appoxmate Analytcal Steady-State Solutons fo Cylndcal Fn ANITA BRUVERE ANDRIS BUIIS Insttute of Mathematcs and Compute Scence Unvesty of Latva Rana ulv 9 Rga LV459 LATVIA Astact: - In ths pape we

More information

Test 1 phy What mass of a material with density ρ is required to make a hollow spherical shell having inner radius r i and outer radius r o?

Test 1 phy What mass of a material with density ρ is required to make a hollow spherical shell having inner radius r i and outer radius r o? Test 1 phy 0 1. a) What s the pupose of measuement? b) Wte all fou condtons, whch must be satsfed by a scala poduct. (Use dffeent symbols to dstngush opeatons on ectos fom opeatons on numbes.) c) What

More information

A NOVEL DWELLING TIME DESIGN METHOD FOR LOW PROBABILITY OF INTERCEPT IN A COMPLEX RADAR NETWORK

A NOVEL DWELLING TIME DESIGN METHOD FOR LOW PROBABILITY OF INTERCEPT IN A COMPLEX RADAR NETWORK Z. Zhang et al., Int. J. of Desgn & Natue and Ecodynamcs. Vol. 0, No. 4 (205) 30 39 A NOVEL DWELLING TIME DESIGN METHOD FOR LOW PROBABILITY OF INTERCEPT IN A COMPLEX RADAR NETWORK Z. ZHANG,2,3, J. ZHU

More information

The Forming Theory and the NC Machining for The Rotary Burs with the Spectral Edge Distribution

The Forming Theory and the NC Machining for The Rotary Burs with the Spectral Edge Distribution oden Appled Scence The Fomn Theoy and the NC achnn fo The Rotay us wth the Spectal Ede Dstbuton Huan Lu Depatment of echancal Enneen, Zhejan Unvesty of Scence and Technoloy Hanzhou, c.y. chan, 310023,

More information

STRATEGIC R&D IN COMPETITIVE RESOURCE MARKETS

STRATEGIC R&D IN COMPETITIVE RESOURCE MARKETS STRATEGIC R&D IN COMPETITIVE RESOURCE MARKETS MARK C. DUGGAN Abstact. In today s economc clmate, enegy s at the foefont of publc attenton. Renewable enegy s a feld whose technology s constantly changng.

More information

A NOTE ON ELASTICITY ESTIMATION OF CENSORED DEMAND

A NOTE ON ELASTICITY ESTIMATION OF CENSORED DEMAND Octobe 003 B 003-09 A NOT ON ASTICITY STIATION OF CNSOD DAND Dansheng Dong an Hay. Kase Conell nvesty Depatment of Apple conomcs an anagement College of Agcultue an fe Scences Conell nvesty Ithaca New

More information

On a New Definition of a Stochastic-based Accuracy Concept of Data Reconciliation-Based Estimators

On a New Definition of a Stochastic-based Accuracy Concept of Data Reconciliation-Based Estimators On a New Defnton of a Stochastc-based Accuacy Concept of Data Reconclaton-Based Estmatos M. Bagajewcz Unesty of Olahoma 100 E. Boyd St., Noman OK 73019, USA Abstact Tadtonally, accuacy of an nstument s

More information

VParC: A Compression Scheme for Numeric Data in Column-Oriented Databases

VParC: A Compression Scheme for Numeric Data in Column-Oriented Databases The Intenatonal Aab Jounal of Infomaton Technology VPaC: A Compesson Scheme fo Numec Data n Column-Oented Databases Ke Yan, Hong Zhu, and Kevn Lü School of Compute Scence and Technology, Huazhong Unvesty

More information

Part V: Velocity and Acceleration Analysis of Mechanisms

Part V: Velocity and Acceleration Analysis of Mechanisms Pat V: Velocty an Acceleaton Analyss of Mechansms Ths secton wll evew the most common an cuently pactce methos fo completng the knematcs analyss of mechansms; escbng moton though velocty an acceleaton.

More information

LASER ABLATION ICP-MS: DATA REDUCTION

LASER ABLATION ICP-MS: DATA REDUCTION Lee, C-T A Lase Ablaton Data educton 2006 LASE ABLATON CP-MS: DATA EDUCTON Cn-Ty A. Lee 24 Septembe 2006 Analyss and calculaton of concentatons Lase ablaton analyses ae done n tme-esolved mode. A ~30 s

More information

COST EVALUATION OF A TWO-ECHELON INVENTORY SYSTEM WITH LOST SALES AND NON-IDENTICAL RETAILERS

COST EVALUATION OF A TWO-ECHELON INVENTORY SYSTEM WITH LOST SALES AND NON-IDENTICAL RETAILERS Mehd SEIFBARGHY, PhD Emal : M.Sefbaghy@qazvnau.ac. Nma ESFANDIARI, PhD Canddate Emal: n.esfanda@yahoo.com Depatment of Industal and Mechancal Engneeng Qazvn Islamc Azad Unvesty Qazvn, Ian CST EVALUATIN

More information

Summer Workshop on the Reaction Theory Exercise sheet 8. Classwork

Summer Workshop on the Reaction Theory Exercise sheet 8. Classwork Joned Physcs Analyss Cente Summe Wokshop on the Reacton Theoy Execse sheet 8 Vncent Matheu Contact: http://www.ndana.edu/~sst/ndex.html June June To be dscussed on Tuesday of Week-II. Classwok. Deve all

More information

On the Distribution of the Product and Ratio of Independent Central and Doubly Non-central Generalized Gamma Ratio random variables

On the Distribution of the Product and Ratio of Independent Central and Doubly Non-central Generalized Gamma Ratio random variables On the Dstbuton of the Poduct Rato of Independent Cental Doubly Non-cental Genealzed Gamma Rato om vaables Calos A. Coelho João T. Mexa Abstact Usng a decomposton of the chaactestc functon of the logathm

More information

Stellar Astrophysics. dt dr. GM r. The current model for treating convection in stellar interiors is called mixing length theory:

Stellar Astrophysics. dt dr. GM r. The current model for treating convection in stellar interiors is called mixing length theory: Stella Astophyscs Ovevew of last lectue: We connected the mean molecula weght to the mass factons X, Y and Z: 1 1 1 = X + Y + μ 1 4 n 1 (1 + 1) = X μ 1 1 A n Z (1 + ) + Y + 4 1+ z A Z We ntoduced the pessue

More information

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S Fomulae Fo u Pobablty By OP Gupta [Ida Awad We, +91-9650 350 480] Impotat Tems, Deftos & Fomulae 01 Bascs Of Pobablty: Let S ad E be the sample space ad a evet a expemet espectvely Numbe of favouable evets

More information

CS649 Sensor Networks IP Track Lecture 3: Target/Source Localization in Sensor Networks

CS649 Sensor Networks IP Track Lecture 3: Target/Source Localization in Sensor Networks C649 enso etwoks IP Tack Lectue 3: Taget/ouce Localaton n enso etwoks I-Jeng Wang http://hng.cs.jhu.edu/wsn06/ png 006 C 649 Taget/ouce Localaton n Weless enso etwoks Basc Poblem tatement: Collaboatve

More information

Re-Ranking Retrieval Model Based on Two-Level Similarity Relation Matrices

Re-Ranking Retrieval Model Based on Two-Level Similarity Relation Matrices Intenatonal Jounal of Softwae Engneeng and Its Applcatons, pp. 349-360 http://dx.do.og/10.1457/sea.015.9.1.31 Re-Rankng Reteval Model Based on Two-Level Smlaty Relaton Matces Hee-Ju Eun Depatment of Compute

More information

4 SingularValue Decomposition (SVD)

4 SingularValue Decomposition (SVD) /6/00 Z:\ jeh\self\boo Kannan\Jan-5-00\4 SVD 4 SngulaValue Decomposton (SVD) Chapte 4 Pat SVD he sngula value decomposton of a matx s the factozaton of nto the poduct of thee matces = UDV whee the columns

More information

Recursive Least-Squares Estimation in Case of Interval Observation Data

Recursive Least-Squares Estimation in Case of Interval Observation Data Recusve Least-Squaes Estmaton n Case of Inteval Obsevaton Data H. Kuttee ), and I. Neumann 2) ) Geodetc Insttute, Lebnz Unvesty Hannove, D-3067 Hannove, Gemany, kuttee@gh.un-hannove.de 2) Insttute of Geodesy

More information

GENERALIZED MULTIVARIATE EXPONENTIAL TYPE (GMET) ESTIMATOR USING MULTI-AUXILIARY INFORMATION UNDER TWO-PHASE SAMPLING

GENERALIZED MULTIVARIATE EXPONENTIAL TYPE (GMET) ESTIMATOR USING MULTI-AUXILIARY INFORMATION UNDER TWO-PHASE SAMPLING Pak. J. Statst. 08 Vol. (), 9-6 GENERALIZED MULTIVARIATE EXPONENTIAL TYPE (GMET) ESTIMATOR USING MULTI-AUXILIARY INFORMATION UNDER TWO-PHASE SAMPLING Ayesha Ayaz, Zahoo Ahmad, Aam Sanaullah and Muhammad

More information

Pattern Analyses (EOF Analysis) Introduction Definition of EOFs Estimation of EOFs Inference Rotated EOFs

Pattern Analyses (EOF Analysis) Introduction Definition of EOFs Estimation of EOFs Inference Rotated EOFs Patten Analyses (EOF Analyss) Intoducton Defnton of EOFs Estmaton of EOFs Infeence Rotated EOFs . Patten Analyses Intoducton: What s t about? Patten analyses ae technques used to dentfy pattens of the

More information

Transport Coefficients For A GaAs Hydro dynamic Model Extracted From Inhomogeneous Monte Carlo Calculations

Transport Coefficients For A GaAs Hydro dynamic Model Extracted From Inhomogeneous Monte Carlo Calculations Tanspot Coeffcents Fo A GaAs Hydo dynamc Model Extacted Fom Inhomogeneous Monte Calo Calculatons MeKe Ieong and Tngwe Tang Depatment of Electcal and Compute Engneeng Unvesty of Massachusetts, Amhest MA

More information

19 The Born-Oppenheimer Approximation

19 The Born-Oppenheimer Approximation 9 The Bon-Oppenheme Appoxmaton The full nonelatvstc Hamltonan fo a molecule s gven by (n a.u.) Ĥ = A M A A A, Z A + A + >j j (883) Lets ewte the Hamltonan to emphasze the goal as Ĥ = + A A A, >j j M A

More information

Experimental study on parameter choices in norm-r support vector regression machines with noisy input

Experimental study on parameter choices in norm-r support vector regression machines with noisy input Soft Comput 006) 0: 9 3 DOI 0.007/s00500-005-0474-z ORIGINAL PAPER S. Wang J. Zhu F. L. Chung Hu Dewen Expemental study on paamete choces n nom- suppot vecto egesson machnes wth nosy nput Publshed onlne:

More information

Groupoid and Topological Quotient Group

Groupoid and Topological Quotient Group lobal Jounal of Pue and Appled Mathematcs SSN 0973-768 Volume 3 Numbe 7 07 pp 373-39 Reseach nda Publcatons http://wwwpublcatoncom oupod and Topolocal Quotent oup Mohammad Qasm Manna Depatment of Mathematcs

More information

Efficiency of the principal component Liu-type estimator in logistic

Efficiency of the principal component Liu-type estimator in logistic Effcency of the pncpal component Lu-type estmato n logstc egesson model Jbo Wu and Yasn Asa 2 School of Mathematcs and Fnance, Chongqng Unvesty of Ats and Scences, Chongqng, Chna 2 Depatment of Mathematcs-Compute

More information

Ranks of quotients, remainders and p-adic digits of matrices

Ranks of quotients, remainders and p-adic digits of matrices axv:1401.6667v2 [math.nt] 31 Jan 2014 Ranks of quotents, emandes and p-adc dgts of matces Mustafa Elshekh Andy Novocn Mak Gesbecht Abstact Fo a pme p and a matx A Z n n, wte A as A = p(a quo p)+ (A em

More information

GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS

GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS #A39 INTEGERS 9 (009), 497-513 GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS Mohaad Faokh D. G. Depatent of Matheatcs, Fedows Unvesty of Mashhad, Mashhad,

More information

Unconventional double-current circuit accuracy measures and application in twoparameter

Unconventional double-current circuit accuracy measures and application in twoparameter th IMEKO TC Wokshop on Techncal Dagnostcs dvanced measuement tools n techncal dagnostcs fo systems elablty and safety June 6-7 Wasaw Poland nconventonal double-cuent ccut accuacy measues and applcaton

More information

CEEP-BIT WORKING PAPER SERIES. Efficiency evaluation of multistage supply chain with data envelopment analysis models

CEEP-BIT WORKING PAPER SERIES. Efficiency evaluation of multistage supply chain with data envelopment analysis models CEEP-BIT WORKING PPER SERIES Effcency evaluaton of multstage supply chan wth data envelopment analyss models Ke Wang Wokng Pape 48 http://ceep.bt.edu.cn/englsh/publcatons/wp/ndex.htm Cente fo Enegy and

More information

THE REGRESSION MODEL OF TRANSMISSION LINE ICING BASED ON NEURAL NETWORKS

THE REGRESSION MODEL OF TRANSMISSION LINE ICING BASED ON NEURAL NETWORKS The 4th Intenatonal Wokshop on Atmosphec Icng of Stuctues, Chongqng, Chna, May 8 - May 3, 20 THE REGRESSION MODEL OF TRANSMISSION LINE ICING BASED ON NEURAL NETWORKS Sun Muxa, Da Dong*, Hao Yanpeng, Huang

More information

(8) Gain Stage and Simple Output Stage

(8) Gain Stage and Simple Output Stage EEEB23 Electoncs Analyss & Desgn (8) Gan Stage and Smple Output Stage Leanng Outcome Able to: Analyze an example of a gan stage and output stage of a multstage amplfe. efeence: Neamen, Chapte 11 8.0) ntoducton

More information

The optimal delay of the second test is therefore approximately 210 hours earlier than =2.

The optimal delay of the second test is therefore approximately 210 hours earlier than =2. THE IEC 61508 FORMULAS 223 The optmal delay of the second test s therefore approxmately 210 hours earler than =2. 8.4 The IEC 61508 Formulas IEC 61508-6 provdes approxmaton formulas for the PF for smple

More information

The Unique Solution of Stochastic Differential Equations With. Independent Coefficients. Dietrich Ryter.

The Unique Solution of Stochastic Differential Equations With. Independent Coefficients. Dietrich Ryter. The Unque Soluton of Stochastc Dffeental Equatons Wth Independent Coeffcents Detch Ryte RyteDM@gawnet.ch Mdatweg 3 CH-4500 Solothun Swtzeland Phone +4132 621 13 07 SDE s must be solved n the ant-itô sense

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology Int. J. Pue Appl. Sc. Technol., 9( (, pp. -8 Intenatonal Jounal of Pue and Appled Scences and Technology ISSN 9-67 Avalable onlne at www.jopaasat.n Reseach Pape Soluton of a Pobablstc Inventoy Model wth

More information

State Estimation. Ali Abur Northeastern University, USA. Nov. 01, 2017 Fall 2017 CURENT Course Lecture Notes

State Estimation. Ali Abur Northeastern University, USA. Nov. 01, 2017 Fall 2017 CURENT Course Lecture Notes State Estmaton Al Abu Notheasten Unvesty, USA Nov. 0, 07 Fall 07 CURENT Couse Lectue Notes Opeatng States of a Powe System Al Abu NORMAL STATE SECURE o INSECURE RESTORATIVE STATE EMERGENCY STATE PARTIAL

More information

Density Functional Theory I

Density Functional Theory I Densty Functonal Theoy I cholas M. Hason Depatment of Chemsty Impeal College Lonon & Computatonal Mateals Scence Daesbuy Laboatoy ncholas.hason@c.ac.uk Densty Functonal Theoy I The Many Electon Schönge

More information

24-2: Electric Potential Energy. 24-1: What is physics

24-2: Electric Potential Energy. 24-1: What is physics D. Iyad SAADEDDIN Chapte 4: Electc Potental Electc potental Enegy and Electc potental Calculatng the E-potental fom E-feld fo dffeent chage dstbutons Calculatng the E-feld fom E-potental Potental of a

More information

Effect of a Frequency Perturbation in a Chain of Syntonized Transparent Clocks

Effect of a Frequency Perturbation in a Chain of Syntonized Transparent Clocks Effect of a Fequency Petubaton n a Chan of Syntonzed anspaent Clocs Geoffey M. Gane SAMSUNG Electoncs (Consultant) EEE 80. AVB G 007.03.0 gmgane@comcast.net : Outlne ntoducton ansfe functon fo a chan of

More information

Improving the efficiency of the ratio/product estimators of the population mean in stratified random samples

Improving the efficiency of the ratio/product estimators of the population mean in stratified random samples STATISTICS RESEARCH ARTICLE Impovng the effcency of the ato/poduct estmatos of the populaton mean statfed andom samples Receved: 10 Decembe 2017 Accepted: 08 July 2018 Fst Publshed 16 July 2018 *Coespondng

More information

Location-Aware Cross-Tier Coordinated Multipoint Transmission in Two-Tier Cellular Networks

Location-Aware Cross-Tier Coordinated Multipoint Transmission in Two-Tier Cellular Networks Locaton-Awae Coss-Te Coodnated Multpont Tansmsson n Two-Te Cellula Netwoks Ahmed Hamd Sak and Ekam Hossan axv:45.876v cs.ni] 8 Sep 4 Abstact Mult-te cellula netwoks ae consdeed as an effectve soluton to

More information

EE 5337 Computational Electromagnetics (CEM)

EE 5337 Computational Electromagnetics (CEM) 7//28 Instucto D. Raymond Rumpf (95) 747 6958 cumpf@utep.edu EE 5337 Computatonal Electomagnetcs (CEM) Lectue #6 TMM Extas Lectue 6These notes may contan copyghted mateal obtaned unde fa use ules. Dstbuton

More information

Minimal Detectable Biases of GPS observations for a weighted ionosphere

Minimal Detectable Biases of GPS observations for a weighted ionosphere LETTER Eath Planets Space, 52, 857 862, 2000 Mnmal Detectable Bases of GPS obsevatons fo a weghted onosphee K. de Jong and P. J. G. Teunssen Depatment of Mathematcal Geodesy and Postonng, Delft Unvesty

More information

Chapter 23: Electric Potential

Chapter 23: Electric Potential Chapte 23: Electc Potental Electc Potental Enegy It tuns out (won t show ths) that the tostatc foce, qq 1 2 F ˆ = k, s consevatve. 2 Recall, fo any consevatve foce, t s always possble to wte the wok done

More information

Energy in Closed Systems

Energy in Closed Systems Enegy n Closed Systems Anamta Palt palt.anamta@gmal.com Abstact The wtng ndcates a beakdown of the classcal laws. We consde consevaton of enegy wth a many body system n elaton to the nvese squae law and

More information

Detection and Estimation Theory

Detection and Estimation Theory ESE 54 Detecton and Etmaton Theoy Joeph A. O Sullvan Samuel C. Sach Pofeo Electonc Sytem and Sgnal Reeach Laboatoy Electcal and Sytem Engneeng Wahngton Unvety 411 Jolley Hall 314-935-4173 (Lnda anwe) jao@wutl.edu

More information

Many Fields of Battle: How Cost Structure Affects Competition Across Multiple Markets

Many Fields of Battle: How Cost Structure Affects Competition Across Multiple Markets Many Felds of Battle: ow Cost Stuctue Affects Competton Acoss Multple Makets Annual Foum 2004 Tanspotaton Reseach Foum Matn Desne Robet Wndle L Zou Robet. Smth School of Busness Unvesty of Mayland Multmaket

More information

Dirichlet Mixture Priors: Inference and Adjustment

Dirichlet Mixture Priors: Inference and Adjustment Dchlet Mxtue Pos: Infeence and Adustment Xugang Ye (Wokng wth Stephen Altschul and Y Kuo Yu) Natonal Cante fo Botechnology Infomaton Motvaton Real-wold obects Independent obsevatons Categocal data () (2)

More information