Modelling of repairable items for production inventory with random deterioration

Size: px
Start display at page:

Download "Modelling of repairable items for production inventory with random deterioration"

Transcription

1 IOSR Journal of Mahmaics IOSR-JM -ISSN: 78-78, p-issn: 9-7X. Volum, Issu Vr. IV Jan - Fb., PP -9 Modlling of rpairabl ims for producion invnory wih random drioraion Dr.Ravish Kumar Yadav, RajvKumar, ssocia Profssor,Dparmn of mahmaics,hindu Collg, Moradbad, Dva Mahavidhyal, Bijnoor bsrac: Kping in viw h concrn abou nvironmnal procion, h sudy incorpora h concp of rpairing in a producion invnory modl consising of producion sysm and rpairing sysm ovr infini planning horizon. his sudy prsns a forward producion and rvrs rpairing sysm invnory modl wih a im dpndn random drioraion funcion and incrasing xponnially dmand wih h fini producion ra is proporional o h dmand ra a any insan. h shorags allow and xcss dmand is backloggd. Exprssions for opimal paramr ar obaind.w also obaind Producion and rpairing schduling priod, maximum invnory lvl and oal avrag cos. Using calculus, opimum producion policy is drivd, which minimizs h oal cos incurrd I. Inroducion n invnory sysm h ffc of drioraion plays an imporan rol. Drioraion is drivd as dcay or damag such ha h im canno b usd for is original propos. Foods, pharmacuicals, chmicals, blood, drugs ar a fw xampls of such ims in which sufficin drioraion can ak plac during h sorag priod of h unis and h imporanc of his loss mus b akn ino accoun whn analyzing h sysm. Whn dscribing opimum policis for drioraing ims Ghar and Schradr 9 proposd a consan ra of drioraion and consan ra dmand. In rcn yar, invnory problm for drioraion ims hav bn widly sudid afr Ghar and Schradr 9, Covr and Philip 97 formulad h modl for variabl drioraion ra wih wo paramrs Wibull disurbaion Goswami and Chaudhuri 99, Bos al 99 assumd ihr insananous or fini producion wih diffrn assumpion on h parn of drioraion. Balkhi and Bnkhroo 99 considrd a producion a producion lo siz invnory modl wih arbirary producion and dmand ra dpnds on h im funcion. Bhunia and Maii s 977 modl o formula a producion invnory modl. Chang and Dv 999 invsigad an EOQ modl allow shorag and backlogging. I is assumd ha h backlogging ra is variabl and dpndn on h lngh of waiing im for h nx rplnishmn. Rcnly, many rsarchrs hav modifid invnory policis by considring h im proporional parial backlogging ra such as Wang, Prumal, ng al, Skouri and Papachrisos c. Schrady 97 firs sudid h problm on opimal lo sizs for producion/procurmn and rcovry. For issus in h grning procss, Nahmias and Rivra 979 sudid an EPQ varian of Schrady s modl 97 wih a fini rcovry ra. Richr 99a, 99b, 997 and Richr and Dobos 999 invsigad a was disposal modl by considring h rurnd ra as a dcision variabl. Dobos and Richr, invsigad a producion/rmanufacuring sysm wih consan dmand ha is saisfid by noninsananous producion and rmanufacuring for singl and mulipl rmanufacuring and producion cycl. Dobos and Richr xndd hir prvious modl and assumd ha h qualiy of collcd rurnd ims is no always suiabl for furhr rpairing. Konsanaras and Skouri prsnd a modl by considring a gnral cycl parn in which a variabl numbr of rproducion los of qual siz wr followd by a variabl numbr of manufacuring los of qual siz. hy also sudid a spcial cas whr shorags wr allowd in ach manufacuring and rproducion cycl and similar sufficin condiions, as h non-shorags cas, ar givn.el Saadany and Jabr xndd h modls dvlopd by Dobos and Richr, by assuming ha h collcion ra of rurnd ims is dpndn on h purchasing pric and h accpanc qualiy lvl of hs rurns. ha is, h flow of usd/rurnd ims incrass as h purchasing pric incrass, and dcrass as h corrsponding accpanc qualiy lvl incrass. lamri dvlopd a gnral rvrs logisics invnory modl. Chung and W dvlopd an invnory modl on shor lif-cycl drioraing produc rmanufacuring in a grn supply chain modl In his papr w prsn a ralisic invnory modl in which h producion ra dpnds on h dmand and dmand is an xponnially incrasing funcion im and drioraion is random funcion says ha drioraion of an im dpnds upon h flucuaion of humidiy, mpraur, c. I would b mor rasonabl and ralisic if w assum h drioraion funcion o dpnd upon a paramr "" in addiion o im DOI:.979/ Pag

2 Modlling of rpairabl ims for producion invnory wih random drioraion.his modl is dvlopd for drioraing im by assuming ha h drioraion ra is uniform and h fini producion ra is proporional o h dmand ra & h dmand ra incrasing xponnially. Rpairabl Ims ar collcd a im of producion run and rpairs a im of no producion no shorag complly. hs rpaird ims as good as nw and consumd a im of shorag. Whn shorags is maximum producion sar and ims consumd from boh h channls forward producion and rpaird ims as wll. W driv an xprssions for diffrn cos associad in h modl and oal avrag cos.w driv quaions, soluion of hs quaions givs h opimal cycl and opimal cos of rpairabl ims. Fig.. Flow of invnory in h ingrad supply sysm II. ssumpion and Noaion h mahmaical modl of h producion invnory problm wih rpairabl sysm considrd hrin is dvlopd on h basic of h following assumpions-: a. singl im is considrd ovr a prscribd priod of unis of im, which is subjc o a im dpndn Random drioraion ra. b. Driora D is known and incrasing xponnially D,, is iniial dmand, is a consan govrning h incrasing ra of dmand. c. Producion ra P a any insan dpnds on h dmand ha is, a im, >, P a bd, a >, b and P > D. d. Drioraion of h unis is considrd only afr hy hav bn rcivd ino h invnory.. Ims ar rurnabl and ar rpaird. Rpaird ims ar as good as nw ons and hy ar usd during h shorag priod of forward producion. f. h im horizon of h invnory sysm is infini. Only a ypical planning schdul of lngh is considrd, all rmaining cycls ar idnical. g. Shorags ar allowd and backloggd. h. h producion im inrval for forward producion coincids wih h collcion im inrval for rvrs rpairing sysm. Noaions for producion sysm and rpairing sysm: I = Invnory lvl a any im, h ims drioraion ra is random. I m = Maximum invnory lvl. I b = Maximum shorags lvl. C = Sup cos for nw cycl. C S = Shorag cos pr uni. 7 K = h oal avrag cos of sysm. 8 C HP =Holding cos pr uni pr uni of im during h producion. 9 C DP =Drioraing cos pr uni pr uni of im during h producion. P cp = Producion cos pr im. C HC = Holding cos pr uni pr uni of im during h collcing and consuming procss for h rpairing sysm. C DC = Drioraing cos pr uni pr uni of im during h collcing and consuming procss for h rpairing sysm. C HR = Drioraing cos pr uni pr uni of im during h rpairing procss for h rpairing sysm. C DR =Holding cos pr uni pr uni of im during h rpairing procss for h rpairing sysm. I c = Invnory lvl during h collcing procss for h rurnabl ims. I = Invnory lvl during h rpairing procss for h rurnabl ims. 7 z =Fracion of h producion lo siz <z<. 8 R c =Ra of collcion of rurnabl ims. 9 M =Ra of rpair of rurnabl ims o b rpaird. DOI:.979/ Pag

3 Modlling of rpairabl ims for producion invnory wih random drioraion = im whn producion sops and also h im whn collcing procss for rurnabl ims sops. his vry im rpairing of collcd ims sar. = im priod whn rpairing of rurnabl ims sops and also h im whn accumulad invnory of producion sysm vanishs. = im whn shorags is maximum.= + + = Priod of im whn producion sars again during h priod of shorag. = is h cycl im. I S = Maximum invnory lvl of rpaird ims. P cc = Cos of purchasing h rurnabl ims pr uni. 7 P cr =Rpair cos of rpaird ims pr uni. III. Mahmaical Modl : Iniially, h invnory lvl is sar wih zro. h forward producion invnory lvl sars a im = and i rachs a maximum invnory lvl I m uni afr im. ha im producion is soppd and h invnory lvl is dcrasing coninuously and rachs zro a im, a his im shorags sar dvloping a im i rachs o maximum shorag lvl I b. his im frsh producion sar o rmov backlog by h im. h bginning of ach cycl, h invnory is zro. h producion sars a h vry bginning of h cycl. s producion progrsss h invnory of finishd goods pils up vn afr ming h mark dmand, drioraion. h bginning of ach cycl, h procss of collcing rurnabl ims in a spara sor also bgins. a poin whr h producion from h forward producion sysm sops; h collcion procss of rurnabl ims also sops a h sam poin.i is assumd hr is no collcion of usd ims onc h rpairing of collcd ims sars. his vry poin h rpairing of rusabl ims bgin a a consan ra. h accumulad invnory producd from h advancd producion sysm in h manwhil sars ging consumd and ulimaly bcoms nil. h accumulad invnory of rpairing producs, which ar assumd o b as good as h nwly producd producs, is consumd whn h shorags from h forward producion sysm bgin o surfac. hrafr, producion sars whn shorags is maximum in forward invnory sysm and shorags ar gradually clard afr ming dmand by rpairabl ims and producd im from forward sysm simulanously and h cycl nds wih zro invnoris. Hr our aim is o find ou h opimal valus of,,,, I m & I b ha minimiz h oal avrag cos K ovr h im planning horizon cycl,. Forward producion sysm Rpairing Sysm Fig.. Invnory of producion and rpairing sysm h diffrnial quaion govrning h sock saus during h priod can b wrin as di a b I, I =, I =I m, d DOI:.979/ Pag

4 Modlling of rpairabl ims for producion invnory wih random drioraion di I, I =I m, I =, d di, I =o, I =I b, d,. di a b, I = I b,i =, d. Diffrnial quaions rprsning rpairing sysm in collcing im & consuming im dic Rc Ic, I c = d dic M Ic, I c = Bz, d Whr B=Producion lo siz during producion sysm=producion- Drioraion Pd Pd a b d {a b a b } d b a b { } { } Diffrnial quaions rprsning invnory of rpaird ims. di M I I =, I =I s, d,.7, di I,I =I s,i I d, =I b, 8 Soluion of quaion,,. and by adjusing h consan of ingraion using boundary condiion ar givn by b I a 9, I, I, b I a, Solving and DOI:.979/ Pag

5 Modlling of rpairabl ims for producion invnory wih random drioraion Ic Rc, Ic Rc Bz, Bz RC Ic Bz M M, Soluion of quaion 7 and 8 by adjusing h consan of ingraion using boundary condiion ar givn by I M, I, Ib, h invnory lvl of producion sar iniially a im uni = o = a maximum lvl I m is obaind by quaion 9 I m a b 7 and afr im h producion is soppd and sock lvl is dcrasing coninuously and bcom zro a im is obaind. = a ha im shorags ar dvlop and raching o I b a im b I I a.8 b b hus by quaion 7 w obsrvd ha and ar dpndn so hy ar rlad by h quaion R 9 and by quaion 8 and ar dpndn o ach ohr so rlad by h quaion R oal amoun of driorad unis I DP of producion invnory, is givn by I I d I d DP DOI:.979/ Pag

6 Modlling of rpairabl ims for producion invnory wih random drioraion DOI:.979/ Pag a b 7 b oal amoun of driorad unis DC I of collcd ims of rpairabl invnory channl in, is givn by DC C C c c I I d I d R d Bz M M d Bz R M M oal amoun of driorad unis DR I of Rpaird ims of rpairabl invnory channl is givn by

7 Modlling of rpairabl ims for producion invnory wih random drioraion DOI:.979/ Pag During priod, oal invnory of producd ims HP I in forward producion channl can b obaind as HP I I d I d 7 b a a 7 During priod, oal invnory of collcd ims HC I can b obaind as HC C C c c I I d I d R d Bz M M d R Bz M M DR I I d I d M d d M 8

8 Modlling of rpairabl ims for producion invnory wih random drioraion During priod, oal invnory of rpaird ims I can b obaind as I I d I d HR M d d M oal amoun of shorag unis I s during h priod, is givn by HR I S I d I d P=Producion cos +Collcion cos +Rpaird cos CP CC c CR P P a b d P R d P Md a b 7 b PCP a PCCRc PCRM Hnc h oal avrag cos of h invnory sysm is K = sup cos +producion cos+ drioraion cos + invnory carrying cos + shorag cos C P CDPI DP CDCI DC CDR IDR CHPI HP CHCI HC CHRI HR CSIS 8 and puing h valu of I DP, I DC, I DR, I HP, I HC, I HR and I S w ging h oal avrag cos of h invnory sysm. In many cass and IV. h pproximaion Soluion Procdur ar xrmly small hnc o us Maclaurin sris for approximaion By using quaion.9 h oal avrag cos of sysm b C [ ] DP K C PCP a PCC Rc PCR M a b Bz Rc M C DC M 9 DOI:.979/ Pag

9 Modlling of rpairabl ims for producion invnory wih random drioraion C DR M 8 C HP a b a Rc Bz M C HC + M H HR M C S a b nd b C [ ] DP K C PCP a PCC Rc PCR MR a b R R R BzR R R Rc M C DC R M R R C DR R R M R 8 C HP a b a R R DOI:.979/ Pag

10 Modlling of rpairabl ims for producion invnory wih random drioraion R R R R R R R Rc Bz M C HC + R M R R H HR R R M R C S R a b ccording o quaion conain four variabls,, and and hs ar dpndn variabl and rlad by quaion 9 and. lso w hav K >, hnc h opimum valu of and which minimiz oal avrag cos ar h soluions of h quaions K K and. Providd ha hs valus of saisfy h condiions K K, and K K K. Now diffrniaing wih rspc o and, w g K C b [ ] DP C PCP a PCC Rc PCR MR R a b R R R R BzR R R Rc M C DC R M R R R M C DR R R R R 8 DOI:.979/ Pag

11 Modlling of rpairabl ims for producion invnory wih random drioraion C HP a a b R R R R R R Rc BzR C R R HC R R M R M R R H HR R R M R R C S R a b R [ C ] DP PCP a b PCC Rc PCR MR b a R R R R R BzR R Rc R R R R M C DC R R M R M R M C DR R R R R M DOI:.979/ Pag

12 Modlling of rpairabl ims for producion invnory wih random drioraion C HP a b a R R R R R R R R R R R R R R R Rc BzR M C HC R M R M + R M H HR R R R R M K C b [ ] DP C PCP a PCCRc PCRMR R a b R R R R BzR Rc C DC R R M R R M R R M C DR R R R R 8 DOI:.979/ Pag

13 Modlling of rpairabl ims for producion invnory wih random drioraion C HP a a b R R R R R R R R R R Rc BzR M C HC M R R R M H HR R R R R C S R a b R R R R R C DR R R H R R + HR R R R C S R R a b Hr w obain wo simulanous non-linar quaion in of and can b find ou opimal valu by using som suiabl compuaional numrical mhod and h opimum valu of,, I m, I b and minimum oal avrag cos K can b obaind from quaions. V. Spcial Cass: Cas I : If b = hn h discussd modl convr o producion invnory modl in which producion ra is consan and indpndn on h dmand. Cas II : If hn h discussd modl rducs o producion invnory modl wih ou drioraion Cas III : If, b h modl rduc o uniform producion ra and consan dmand. DOI:.979/ Pag

14 Modlling of rpairabl ims for producion invnory wih random drioraion VI. Conclusion In h proposd modl a producion invnory modl is formulad for random drioraing im wih a incrasing mark dmand ra wih im and producion ra is dpndn on h dmand. Rsul in his sudy can provid a valuabl rfrnc for dcision markrs in planning h producion and conrolling h invnory. h modl proposd hr in is rsolvd by using maclaurin sris and cos minimizaion chniqu is usd o g h approxima xprssion for oal avrag cos and ohr paramrs & som spcial cass of modl ar also discussd. W driv an xprssions for diffrn cos associad in h modl. W driv quaions, soluion of hs quaions givs h opimal cycl and opimal cos of rpairabl ims. fuur sudy will incorpora mor ralisic assumpion in h proposd modl. Rfrncs []. lamri,... hory and mhodology on h global opimal soluion o a Rvrs logisics invnory modl for drioraing ims and im varying ras. Compur & Indusrial Enginring,, -7. []. Balkhi, Z.. and Bnkhrouf, L. 99 bon h opimal rplnishmn schdul for an invnoy sysm wih drioraing ims and im varying dmand and producion ras.compurs & Indusrial Enginring, ; []. Bhunia,. K. and Maii, M. 998 wo warhous invnory modl for drioraing ims wih a linar rnd in dmand and shorags.jour of Opl. Rs. Soc., 9 : []. Chang, H. J. and Dy, C. Y. 999 n EOQ modl for drioraing ims wih im varying dmand and parial backlogging.j o ur, o f O pl. R s. So c., : 7-8. []. Chung, C. J., & W, H. M.. Shor lif-cycl drioraing produc rmanufacuring in a grn supply chain invnory conrol sysm. Inrnaional Journal of Producion Economics, 9, 9-. []. Covr, R.P., and Philip, G.C., 97, n EOQ Modl for Im wih Wibull Disribuion Drioraion, IIE ransacions,,, -, [7]. Dobos, I., & Richr, K., producion/rcycling modl wih saionary dmand and rurn ras.cnral Europan journal of Opraions Rsarch,, -. [8]. Dobos, I., & Richr, K., n xndd producion/rcycling modl wih saionary dmand and rurn ras. Inrnaional Journal of producion Economics, 9, -. [9]. Dobos, I., & Richr, K., producion/rcycling modl wih qualiy considraions. Inrnaional Journal of Producion Economics,, []. El Saadany. M.., & Jabr M. Y.., producion/ rmanufacuring invnory modl wih pric and qualiy dpndan rurn ra. Compurs and Indusrial Enginring, 8,. []. Ghar, P.M., and Schradr, G.F.,9, Modl for n Exponnially Dcaying Invnory, h Journal of Indusrial Enginring,,, 8-. []. Goswami, and Chaudhuri, K. S. 99 EOQ modl for an invnory wih a linar rnd in dmand and fini ra of rplnishmn considring shorags.in. J our. Sys ScL,, []. Konsanaras, I., & Skouri, K., Lo sizing for a singl produc rcovry sysm wih variabl s up numbrs. Europan Journal of Opraions Rsarch,, -. []. Prumal, V. and rivarignan, G. producion invnory modl wih wo ras of producion and backordrs.in. Jo ur of Mg. & Sys., 8 : 9-9. []. Pyk, D. 99 Prioriy Rpair and Dispach Policis for Rparabl-Im Logisics Sysms. Naval Rsarch Logisics v7 n - Fb. []. Raafa, F., Wolf, P.M. and Eldin, H.K. n Invnory Modl for Drioraing Im, Compurs & Indusrial Enginring,,, 89-9, 99. [7]. Richr, K, 99b. h xndd EOQ rpair and was disposal modl. Inrnaional Journal of Producion Economics, -, -7. [8]. Richr, K. 99, h EOQ rpair and was disposal modl wih variabl sup numbrs. Europan Journal of Opraional Rsarch, 9, -. [9]. Richr, K., & Dobos, I nalysis of h EOQ rpair and was disposal modl wih ingr s up numbrs. Inrnaional journal of producion conomics, 9-, -7. []. Schrady, D drminisic invnory modl for rpairabl ims. Naval Rsarch Logisics Quarrly,, []. ng, J.. & Chang, C... Economic producion quaniy modls for drioraing ims wih pric and sock-dpndn dmand. Compuaional Opraions Rsarch,, []. ng, J.. 99 drminisic rplnishmn modl wih linar rnd in dmand. O pns. Rs. L. 9 : -. DOI:.979/ Pag

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35 MATH 5 PS # Summr 00.. Diffrnial Equaions and Soluions PS.# Show ha ()C #, 4, 7, 0, 4, 5 ( / ) is a gnral soluion of h diffrnial quaion. Us a compur or calculaor o skch h soluions for h givn valus of h

More information

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER A THREE COPARTENT ATHEATICAL ODEL OF LIVER V. An N. Ch. Paabhi Ramacharyulu Faculy of ahmaics, R D collgs, Hanamonda, Warangal, India Dparmn of ahmaics, Naional Insiu of Tchnology, Warangal, India E-ail:

More information

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors Boc/DiPrima 9 h d, Ch.: Linar Equaions; Mhod of Ingraing Facors Elmnar Diffrnial Equaions and Boundar Valu Problms, 9 h diion, b William E. Boc and Richard C. DiPrima, 009 b John Wil & Sons, Inc. A linar

More information

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review Spring 6 Procss Dynamics, Opraions, and Conrol.45 Lsson : Mahmaics Rviw. conx and dircion Imagin a sysm ha varis in im; w migh plo is oupu vs. im. A plo migh imply an quaion, and h quaion is usually an

More information

UNSTEADY FLOW OF A FLUID PARTICLE SUSPENSION BETWEEN TWO PARALLEL PLATES SUDDENLY SET IN MOTION WITH SAME SPEED

UNSTEADY FLOW OF A FLUID PARTICLE SUSPENSION BETWEEN TWO PARALLEL PLATES SUDDENLY SET IN MOTION WITH SAME SPEED 006-0 Asian Rsarch Publishing work (ARP). All righs rsrvd. USTEADY FLOW OF A FLUID PARTICLE SUSPESIO BETWEE TWO PARALLEL PLATES SUDDELY SET I MOTIO WITH SAME SPEED M. suniha, B. Shankr and G. Shanha 3

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o

More information

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn

More information

Lecture 2: Current in RC circuit D.K.Pandey

Lecture 2: Current in RC circuit D.K.Pandey Lcur 2: urrn in circui harging of apacior hrough Rsisr L us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R and a ky K in sris. Whn h ky K is swichd on, h charging

More information

A Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate

A Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate A Condiion for abiliy in an I Ag rucurd Disas Modl wih Dcrasing urvival a A.K. upriana, Edy owono Dparmn of Mahmaics, Univrsias Padjadjaran, km Bandung-umng 45363, Indonsia fax: 6--7794696, mail: asupria@yahoo.com.au;

More information

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT [Typ x] [Typ x] [Typ x] ISSN : 974-7435 Volum 1 Issu 24 BioTchnology 214 An Indian Journal FULL PAPE BTAIJ, 1(24), 214 [15197-1521] A sag-srucurd modl of a singl-spcis wih dnsiy-dpndn and birh pulss LI

More information

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DIFFERENTIAL EQUATION EXERCISE - CHECK YOUR GRASP 7. m hn D() m m, D () m m. hn givn D () m m D D D + m m m m m m + m m m m + ( m ) (m ) (m ) (m + ) m,, Hnc numbr of valus of mn will b. n ( ) + c sinc

More information

Institute of Actuaries of India

Institute of Actuaries of India Insiu of Acuaris of India ubjc CT3 Probabiliy and Mahmaical aisics Novmbr Examinaions INDICATIVE OLUTION Pag of IAI CT3 Novmbr ol. a sampl man = 35 sampl sandard dviaion = 36.6 b for = uppr bound = 35+*36.6

More information

Charging of capacitor through inductor and resistor

Charging of capacitor through inductor and resistor cur 4&: R circui harging of capacior hrough inducor and rsisor us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R, an inducor of inducanc and a y K in sris.

More information

Lecture 1: Growth and decay of current in RL circuit. Growth of current in LR Circuit. D.K.Pandey

Lecture 1: Growth and decay of current in RL circuit. Growth of current in LR Circuit. D.K.Pandey cur : Growh and dcay of currn in circui Growh of currn in Circui us considr an inducor of slf inducanc is conncd o a DC sourc of.m.f. E hrough a rsisr of rsisanc and a ky K in sris. Whn h ky K is swichd

More information

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016 Applid Saisics and robabiliy for Enginrs, 6 h diion Ocobr 7, 6 CHATER Scion - -. a d. 679.. b. d. 88 c d d d. 987 d. 98 f d.. Thn, = ln. =. g d.. Thn, = ln.9 =.. -7. a., by symmry. b.. d...6. 7.. c...

More information

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form:

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form: Th Ingraing Facor Mhod In h prvious xampls of simpl firs ordr ODEs, w found h soluions by algbraically spara h dpndn variabl- and h indpndn variabl- rms, and wri h wo sids of a givn quaion as drivaivs,

More information

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b 4. Th Uniform Disribuion Df n: A c.r.v. has a coninuous uniform disribuion on [a, b] whn is pdf is f x a x b b a Also, b + a b a µ E and V Ex4. Suppos, h lvl of unblivabiliy a any poin in a Transformrs

More information

5. An object moving along an x-coordinate axis with its scale measured in meters has a velocity of 6t

5. An object moving along an x-coordinate axis with its scale measured in meters has a velocity of 6t AP CALCULUS FINAL UNIT WORKSHEETS ACCELERATION, VELOCTIY AND POSITION In problms -, drmin h posiion funcion, (), from h givn informaion.. v (), () = 5. v ()5, () = b g. a (), v() =, () = -. a (), v() =

More information

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy

More information

Midterm exam 2, April 7, 2009 (solutions)

Midterm exam 2, April 7, 2009 (solutions) Univrsiy of Pnnsylvania Dparmn of Mahmaics Mah 26 Honors Calculus II Spring Smsr 29 Prof Grassi, TA Ashr Aul Midrm xam 2, April 7, 29 (soluions) 1 Wri a basis for h spac of pairs (u, v) of smooh funcions

More information

Logistic equation of Human population growth (generalization to the case of reactive environment).

Logistic equation of Human population growth (generalization to the case of reactive environment). Logisic quaion of Human populaion growh gnralizaion o h cas of raciv nvironmn. Srg V. Ershkov Insiu for Tim aur Exploraions M.V. Lomonosov's Moscow Sa Univrsi Lninski gor - Moscow 999 ussia -mail: srgj-rshkov@andx.ru

More information

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA MTHEMTICL MODEL FOR NTURL COOLING OF CUP OF TE 1 Mrs.D.Kalpana, 2 Mr.S.Dhvarajan 1 Snior Lcurr, Dparmn of Chmisry, PSB Polychnic Collg, Chnnai, India. 2 ssisan Profssor, Dparmn of Mahmaics, Dr.M.G.R Educaional

More information

On a Discrete-In-Time Order Level Inventory Model for Items with Random Deterioration

On a Discrete-In-Time Order Level Inventory Model for Items with Random Deterioration Journal of Agriculure and Life Sciences Vol., No. ; June 4 On a Discree-In-Time Order Level Invenory Model for Iems wih Random Deerioraion Dr Biswaranjan Mandal Associae Professor of Mahemaics Acharya

More information

Production Inventory Model with Different Deterioration Rates Under Shortages and Linear Demand

Production Inventory Model with Different Deterioration Rates Under Shortages and Linear Demand Inernaional Refereed Journal of Engineering and Science (IRJES) ISSN (Online) 39-83X, (Prin) 39-8 Volume 5, Issue 3 (March 6), PP.-7 Producion Invenory Model wih Differen Deerioraion Raes Under Shorages

More information

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees CPSC 211 Daa Srucurs & Implmnaions (c) Txas A&M Univrsiy [ 259] B-Trs Th AVL r and rd-black r allowd som variaion in h lnghs of h diffrn roo-o-laf pahs. An alrnaiv ida is o mak sur ha all roo-o-laf pahs

More information

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract Applicaion of Diffrnial... Gnral Aricl Applicaion of diffrnial uaion in - and C- circui analysis by classical mhod. ajndra Prasad gmi curr, Dparmn of Mahmaics, P.N. Campus, Pokhara Email: rajndraprasadrgmi@yahoo.com

More information

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas Third In-Class Exam Soluions Mah 6, Profssor David Lvrmor Tusday, 5 April 07 [0] Th vrical displacmn of an unforcd mass on a spring is givn by h 5 3 cos 3 sin a [] Is his sysm undampd, undr dampd, criically

More information

Microscopic Flow Characteristics Time Headway - Distribution

Microscopic Flow Characteristics Time Headway - Distribution CE57: Traffic Flow Thory Spring 20 Wk 2 Modling Hadway Disribuion Microscopic Flow Characrisics Tim Hadway - Disribuion Tim Hadway Dfiniion Tim Hadway vrsus Gap Ahmd Abdl-Rahim Civil Enginring Dparmn,

More information

On the optimality of a general integrated production inventory system with time varying demand, production and deterioration rates

On the optimality of a general integrated production inventory system with time varying demand, production and deterioration rates RECEN ADVANCES in APPIED MAHEMAICS On h opialiy of a gnral ingrad producion invnory sys wih i varying dand producion and rioraion ras ZAID. BAKHI Dparn of Saisics & Opraions Rsarch Collg of Scinc King

More information

Fuzzy Optimal Replenishment Policy for Weibull Deteriorating Items with Ramp Type Demand and Partial Backlogging Under Permissible Delay in Payments

Fuzzy Optimal Replenishment Policy for Weibull Deteriorating Items with Ramp Type Demand and Partial Backlogging Under Permissible Delay in Payments nrnaional Journal of Advand Rsarh in ompur Enginring & hnology JARE Volum 4 ssu 9 Spmbr 5 Fuzzy Opimal Rplnishmn Poliy for Wibull rioraing ms wih Ramp yp mand and Parial Baklogging Undr Prmissibl lay in

More information

Chapter 3: Fourier Representation of Signals and LTI Systems. Chih-Wei Liu

Chapter 3: Fourier Representation of Signals and LTI Systems. Chih-Wei Liu Chapr 3: Fourir Rprsnaion of Signals and LTI Sysms Chih-Wi Liu Oulin Inroducion Complx Sinusoids and Frquncy Rspons Fourir Rprsnaions for Four Classs of Signals Discr-im Priodic Signals Fourir Sris Coninuous-im

More information

The Optimal Timing of Transition to New Environmental Technology in Economic Growth

The Optimal Timing of Transition to New Environmental Technology in Economic Growth h Opimal iming of ransiion o Nw Environmnal chnology in Economic Growh h IAEE Europan Confrnc 7- Spmbr, 29 Vinna, Ausria Akira AEDA and akiko NAGAYA yoo Univrsiy Background: Growh and h Environmn Naural

More information

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

Lagrangian for RLC circuits using analogy with the classical mechanics concepts

Lagrangian for RLC circuits using analogy with the classical mechanics concepts Lagrangian for RLC circuis using analogy wih h classical mchanics concps Albrus Hariwangsa Panuluh and Asan Damanik Dparmn of Physics Educaion, Sanaa Dharma Univrsiy Kampus III USD Paingan, Maguwoharjo,

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

Decline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline.

Decline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline. Dlin Curvs Dlin Curvs ha lo flow ra vs. im ar h mos ommon ools for forasing roduion and monioring wll rforman in h fild. Ths urvs uikly show by grahi mans whih wlls or filds ar roduing as xd or undr roduing.

More information

An Inventory Model for Time Dependent Weibull Deterioration with Partial Backlogging

An Inventory Model for Time Dependent Weibull Deterioration with Partial Backlogging American Journal of Operaional Research 0, (): -5 OI: 0.593/j.ajor.000.0 An Invenory Model for Time ependen Weibull eerioraion wih Parial Backlogging Umakana Mishra,, Chaianya Kumar Tripahy eparmen of

More information

SOLUTIONS. 1. Consider two continuous random variables X and Y with joint p.d.f. f ( x, y ) = = = 15. Stepanov Dalpiaz

SOLUTIONS. 1. Consider two continuous random variables X and Y with joint p.d.f. f ( x, y ) = = = 15. Stepanov Dalpiaz STAT UIUC Pracic Problms #7 SOLUTIONS Spanov Dalpiaz Th following ar a numbr of pracic problms ha ma b hlpful for compling h homwor, and will lil b vr usful for suding for ams.. Considr wo coninuous random

More information

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to:

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to: Rfrncs Brnank, B. and I. Mihov (1998). Masuring monary policy, Quarrly Journal of Economics CXIII, 315-34. Blanchard, O. R. Proi (00). An mpirical characrizaion of h dynamic ffcs of changs in govrnmn spnding

More information

3(8 ) (8 x x ) 3x x (8 )

3(8 ) (8 x x ) 3x x (8 ) Scion - CHATER -. a d.. b. d.86 c d 8 d d.9997 f g 6. d. d. Thn, = ln. =. =.. d Thn, = ln.9 =.7 8 -. a d.6 6 6 6 6 8 8 8 b 9 d 6 6 6 8 c d.8 6 6 6 6 8 8 7 7 d 6 d.6 6 6 6 6 6 6 8 u u u u du.9 6 6 6 6 6

More information

Lecture 4: Laplace Transforms

Lecture 4: Laplace Transforms Lur 4: Lapla Transforms Lapla and rlad ransformaions an b usd o solv diffrnial quaion and o rdu priodi nois in signals and imags. Basially, hy onvr h drivaiv opraions ino mulipliaion, diffrnial quaions

More information

The transition:transversion rate ratio vs. the T-ratio.

The transition:transversion rate ratio vs. the T-ratio. PhyloMah Lcur 8 by Dan Vandrpool March, 00 opics of Discussion ransiion:ransvrsion ra raio Kappa vs. ransiion:ransvrsion raio raio alculaing h xpcd numbr of subsiuions using marix algbra Why h nral im

More information

Mundell-Fleming I: Setup

Mundell-Fleming I: Setup Mundll-Flming I: Sup In ISLM, w had: E ( ) T I( i π G T C Y ) To his, w now add n xpors, which is a funcion of h xchang ra: ε E P* P ( T ) I( i π ) G T NX ( ) C Y Whr NX is assumd (Marshall Lrnr condiion)

More information

Poisson process Markov process

Poisson process Markov process E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc

More information

Smoking Tobacco Experiencing with Induced Death

Smoking Tobacco Experiencing with Induced Death Europan Journal of Biological Scincs 9 (1): 52-57, 2017 ISSN 2079-2085 IDOSI Publicaions, 2017 DOI: 10.5829/idosi.jbs.2017.52.57 Smoking Tobacco Exprincing wih Inducd Dah Gachw Abiy Salilw Dparmn of Mahmaics,

More information

Reliability Analysis of a Bridge and Parallel Series Networks with Critical and Non- Critical Human Errors: A Block Diagram Approach.

Reliability Analysis of a Bridge and Parallel Series Networks with Critical and Non- Critical Human Errors: A Block Diagram Approach. Inrnaional Journal of Compuaional Sin and Mahmais. ISSN 97-3189 Volum 3, Numr 3 11, pp. 351-3 Inrnaional Rsarh Puliaion Hous hp://www.irphous.om Rliailiy Analysis of a Bridg and Paralll Sris Nworks wih

More information

Double Slits in Space and Time

Double Slits in Space and Time Doubl Slis in Sac an Tim Gorg Jons As has bn ror rcnly in h mia, a am l by Grhar Paulus has monsra an inrsing chniqu for ionizing argon aoms by using ulra-shor lasr ulss. Each lasr uls is ffcivly on an

More information

EE 434 Lecture 22. Bipolar Device Models

EE 434 Lecture 22. Bipolar Device Models EE 434 Lcur 22 Bipolar Dvic Modls Quiz 14 Th collcor currn of a BJT was masurd o b 20mA and h bas currn masurd o b 0.1mA. Wha is h fficincy of injcion of lcrons coming from h mir o h collcor? 1 And h numbr

More information

On the Speed of Heat Wave. Mihály Makai

On the Speed of Heat Wave. Mihály Makai On h Spd of Ha Wa Mihály Maai maai@ra.bm.hu Conns Formulaion of h problm: infini spd? Local hrmal qulibrium (LTE hypohsis Balanc quaion Phnomnological balanc Spd of ha wa Applicaion in plasma ranspor 1.

More information

B) 25y e. 5. Find the second partial f. 6. Find the second partials (including the mixed partials) of

B) 25y e. 5. Find the second partial f. 6. Find the second partials (including the mixed partials) of Sampl Final 00 1. Suppos z = (, y), ( a, b ) = 0, y ( a, b ) = 0, ( a, b ) = 1, ( a, b ) = 1, and y ( a, b ) =. Thn (a, b) is h s is inconclusiv a saddl poin a rlaiv minimum a rlaiv maimum. * (Classiy

More information

AN EOQ INVENTORY MODEL FOR ITEMS WITH RAMP TYPE DEMAND, THREE-PARAMETER WEIBULL DISTRIBUTION DETERIORATION AND STARTING WITH SHORTAGE

AN EOQ INVENTORY MODEL FOR ITEMS WITH RAMP TYPE DEMAND, THREE-PARAMETER WEIBULL DISTRIBUTION DETERIORATION AND STARTING WITH SHORTAGE Yugoslav Journal of Opraions Rsarc Volum0 00, Numr, 49-59 DOI:0.98/YJOR0049J N EOQ INVENORY MODEL FOR IEMS WIH RMP YPE DEMND, HREE-PRMEER WEIBULL DISRIBUION DEERIORION ND SRING WIH SHORGE Sanjay JIN Dparmn

More information

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano Expcaions: Th Basic Prpard by: Frnando Quijano and Yvonn Quijano CHAPTER CHAPTER14 2006 Prnic Hall Businss Publishing Macroconomics, 4/ Olivir Blanchard 14-1 Today s Lcur Chapr 14:Expcaions: Th Basic Th

More information

C From Faraday's Law, the induced voltage is, C The effect of electromagnetic induction in the coil itself is called selfinduction.

C From Faraday's Law, the induced voltage is, C The effect of electromagnetic induction in the coil itself is called selfinduction. Inducors and Inducanc C For inducors, v() is proporional o h ra of chang of i(). Inducanc (con d) C Th proporionaliy consan is h inducanc, L, wih unis of Hnris. 1 Hnry = 1 Wb / A or 1 V sc / A. C L dpnds

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

The Science of Monetary Policy

The Science of Monetary Policy Th Scinc of Monary Policy. Inroducion o Topics of Sminar. Rviw: IS-LM, AD-AS wih an applicaion o currn monary policy in Japan 3. Monary Policy Sragy: Inrs Ra Ruls and Inflaion Targing (Svnsson EER) 4.

More information

Section. Problem Representation. Substation. Protection Device. protection equipments. Substation. Client. EPDS divided in blocks connected by

Section. Problem Representation. Substation. Protection Device. protection equipments. Substation. Client. EPDS divided in blocks connected by HIERARCHICAL MULTIPLE CRITERIA OPTIMIZATION OF MAINTENANCE ACTIVITIES ON POWER DISTRIBUTION NETWORKS Problm Rprsaion EPDS comprising: Subsaions, primary nworks, scondary, nworks; Fdrs (cabls, lins, pols,

More information

Midterm Examination (100 pts)

Midterm Examination (100 pts) Econ 509 Spring 2012 S.L. Parn Midrm Examinaion (100 ps) Par I. 30 poins 1. Dfin h Law of Diminishing Rurns (5 ps.) Incrasing on inpu, call i inpu x, holding all ohr inpus fixd, on vnuall runs ino h siuaion

More information

REPETITION before the exam PART 2, Transform Methods. Laplace transforms: τ dτ. L1. Derive the formulas : L2. Find the Laplace transform F(s) if.

REPETITION before the exam PART 2, Transform Methods. Laplace transforms: τ dτ. L1. Derive the formulas : L2. Find the Laplace transform F(s) if. Tranform Mhod and Calculu of Svral Variabl H7, p Lcurr: Armin Halilovic KTH, Campu Haning E-mail: armin@dkh, wwwdkh/armin REPETITION bfor h am PART, Tranform Mhod Laplac ranform: L Driv h formula : a L[

More information

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues Boy/DiPrima 9 h d Ch 7.8: Rpad Eignvalus Elmnary Diffrnial Equaions and Boundary Valu Problms 9 h diion by William E. Boy and Rihard C. DiPrima 9 by John Wily & Sons In. W onsidr again a homognous sysm

More information

CHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0)

CHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0) CHATER 6 inar Sysms of Diffrnial Equaions 6 Thory of inar DE Sysms! ullclin Skching = y = y y υ -nullclin Equilibrium (unsabl) a (, ) h nullclin y = υ nullclin = h-nullclin (S figur) = + y y = y Equilibrium

More information

Chapter 12 Introduction To The Laplace Transform

Chapter 12 Introduction To The Laplace Transform Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and

More information

Key words: EOQ, Deterioration, Stock dependent demand pattern

Key words: EOQ, Deterioration, Stock dependent demand pattern An Invenory Model Wih Sock Dependen Demand, Weibull Disribuion Deerioraion R. Babu Krishnaraj Research Scholar, Kongunadu Ars & Science ollege, oimbaore 64 9. amilnadu, INDIA. & K. Ramasamy Deparmen of

More information

Voltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields!

Voltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields! Considr a pair of wirs idal wirs ngh >, say, infinily long olag along a cabl can vary! D olag v( E(D W can acually g o his wav bhavior by using circui hory, w/o going ino dails of h EM filds! Thr

More information

Availability Analysis of Repairable Computer Systems and Stationarity Detection

Availability Analysis of Repairable Computer Systems and Stationarity Detection 1166 IEEE TRANSACTIONS ON COMPUTERS, VOL. 48, NO. 11, NOVEMBER 1999 Availabiliy Analysis of Rpairabl Compur Sysms and Saionariy Dcion Bruno Sricola AbsracÐPoin availabiliy and xpcd inrval availabiliy ar

More information

I) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning

I) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning I) Til: Raional Expcaions and Adapiv Larning II) Conns: Inroducion o Adapiv Larning III) Documnaion: - Basdvan, Olivir. (2003). Larning procss and raional xpcaions: an analysis using a small macroconomic

More information

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison Economics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 3/28/2012 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 16 1 Consumpion Th Vry Forsighd dconsumr A vry forsighd

More information

Transient Performance Analysis of Serial Production Lines

Transient Performance Analysis of Serial Production Lines Univrsiy of Wisconsin Milwauk UWM Digial Commons Thss and Dissraions Augus 25 Transin Prformanc Analysis of Srial Producion Lins Yang Sun Univrsiy of Wisconsin-Milwauk Follow his and addiional works a:

More information

A HAMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS

A HAMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS Europan Scinific Journal Ocobr 13 diion vol9, No3 ISSN: 1857 7881 (Prin) - ISSN 1857-7431 A AMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS Ola A Jarab'ah Tafila Tchnical Univrsiy, Tafila, Jordan Khald

More information

Impulsive Differential Equations. by using the Euler Method

Impulsive Differential Equations. by using the Euler Method Applid Mahmaical Scincs Vol. 4 1 no. 65 19 - Impulsiv Diffrnial Equaions by using h Eulr Mhod Nor Shamsidah B Amir Hamzah 1 Musafa bin Mama J. Kaviumar L Siaw Chong 4 and Noor ani B Ahmad 5 1 5 Dparmn

More information

Wave Equation (2 Week)

Wave Equation (2 Week) Rfrnc Wav quaion ( Wk 6.5 Tim-armonic filds 7. Ovrviw 7. Plan Wavs in Losslss Mdia 7.3 Plan Wavs in Loss Mdia 7.5 Flow of lcromagnic Powr and h Poning Vcor 7.6 Normal Incidnc of Plan Wavs a Plan Boundaris

More information

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 4/25/2011. UW Madison

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 4/25/2011. UW Madison conomics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 4/25/2011 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 21 1 Th Mdium Run ε = P * P Thr ar wo ways in which

More information

DE Dr. M. Sakalli

DE Dr. M. Sakalli DE-0 Dr. M. Sakalli DE 55 M. Sakalli a n n 0 a Lh.: an Linar g Equaions Hr if g 0 homognous non-homognous ohrwis driving b a forc. You know h quaions blow alrad. A linar firs ordr ODE has h gnral form

More information

symmetric/hermitian matrices, and similarity transformations

symmetric/hermitian matrices, and similarity transformations Linar lgbra for Wirlss Communicaions Lcur: 6 Diffrnial quaions, Grschgorin's s circl horm, symmric/hrmiian marics, and similariy ransformaions Ov Edfors Dparmn of Elcrical and Informaion Tchnology Lund

More information

On the optimality of a general production lot size inventory model with variable parameters

On the optimality of a general production lot size inventory model with variable parameters On th optimality of a gnral production lot siz invntory modl with variabl paramtrs ZAID.. BALKHI Dpartmnt of Statistics & Oprations Rsarch Collg of Scinc, King Saud Univrsity P.O. Box 55,Riyadh 5 SAUDI

More information

Asymptotic Solutions of Fifth Order Critically Damped Nonlinear Systems with Pair Wise Equal Eigenvalues and another is Distinct

Asymptotic Solutions of Fifth Order Critically Damped Nonlinear Systems with Pair Wise Equal Eigenvalues and another is Distinct Qus Journals Journal of Rsarch in Applid Mahmaics Volum ~ Issu (5 pp: -5 ISSN(Onlin : 94-74 ISSN (Prin:94-75 www.usjournals.org Rsarch Papr Asympoic Soluions of Fifh Ordr Criically Dampd Nonlinar Sysms

More information

International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 6, Nov-Dec 2015

International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 6, Nov-Dec 2015 Inernaional Journal of Compuer Science Trends and Technology (IJCST) Volume Issue 6, Nov-Dec 05 RESEARCH ARTICLE OPEN ACCESS An EPQ Model for Two-Parameer Weibully Deerioraed Iems wih Exponenial Demand

More information

Software Reliability using SPRT: Inflection S- shaped Model

Software Reliability using SPRT: Inflection S- shaped Model Volum 2, Issu 6, Jun 23 ISSN 239-4847 Sofwar Rliabiliy using SPRT: Inflcion S- shapd Modl Dr. R. Saya Prasad, K. Prasada Rao 2 and G. Krishna Mohan3 Associa Profssor, Dp. of Compur Scinc & Engg., Acharya

More information

A COLLABORATIVE STRATEGY FOR A THREE ECHELON SUPPLY CHAIN WITH RAMP TYPE DEMAND, DETERIORATION AND INFLATION

A COLLABORATIVE STRATEGY FOR A THREE ECHELON SUPPLY CHAIN WITH RAMP TYPE DEMAND, DETERIORATION AND INFLATION OPERAIONS RESEARCH AND DECISIONS No. 4 DOI:.577/ord45 Narayan SINGH* Bindu VAISH* Shiv Raj SINGH* A COLLABORAIVE SRAEGY FOR A HREE ECHELON SUPPLY CHAIN WIH RAMP YPE DEMAND, DEERIORAION AND INFLAION A supply

More information

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is 39 Anohr quival dfiniion of h Fri vlociy is pf vf (6.4) If h rgy is a quadraic funcion of k H k L, hs wo dfiniions ar idical. If is NOT a quadraic funcion of k (which could happ as will b discussd in h

More information

An Inventory Model of Repairable Items with Exponential Deterioration and Linear Demand Rate

An Inventory Model of Repairable Items with Exponential Deterioration and Linear Demand Rate IOSR Journal of Mahemaics (IOSR-JM) e-issn: 78-578, p-issn: 19-765X. Volume 1, Issue Ver. IV (May - June 017), PP 75-8 www.iosrjournals.org An Invenory Model of Repairable Iems wih Exponenial Deerioraion

More information

XV Exponential and Logarithmic Functions

XV Exponential and Logarithmic Functions MATHEMATICS 0-0-RE Dirnial Calculus Marin Huard Winr 08 XV Eponnial and Logarihmic Funcions. Skch h graph o h givn uncions and sa h domain and rang. d) ) ) log. Whn Sarah was born, hr parns placd $000

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 11

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 11 8 Jun ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER SECTION : INCENTIVE COMPATABILITY Exrcis - Educaional Signaling A yp consulan has a marginal produc of m( ) = whr Θ = {,, 3} Typs ar uniformly disribud

More information

14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions

14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions 4.0 rincipl of Macroconomic Fall 005 Quiz 3 Soluion Shor Quion (30/00 poin la a whhr h following amn ar TRUE or FALSE wih a hor xplanaion (3 or 4 lin. Each quion coun 5/00 poin.. An incra in ax oday alway

More information

Chapter 6 Differential Equations and Mathematical Modeling

Chapter 6 Differential Equations and Mathematical Modeling 6 Scion 6. hapr 6 Diffrnial Equaions and Mahmaical Modling Scion 6. Slop Filds and Eulr s Mhod (pp. ) Eploraion Sing h Slops. Sinc rprsns a lin wih a slop of, w should d pc o s inrvals wih no chang in.

More information

fiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are

fiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are MTEMTICL PHYSICS SOLUTIONS GTE- Q. Considr an ani-symmric nsor P ij wih indics i and j running from o 5. Th numbr of indpndn componns of h nsor is 9 6 ns: Soluion: Th numbr of indpndn componns of h nsor

More information

Routing in Delay Tolerant Networks

Routing in Delay Tolerant Networks Rouing in Dlay Tolran Nworks Primary Rfrnc: S. Jain K. Fall and R. Para Rouing in a Dlay Tolran Nwork SIGCOMM 04 Aug. 30-Sp. 3 2004 Porland Orgon USA Sudn lcur by: Soshan Bali (748214) mail : sbali@ic.ku.du

More information

On General Solutions of First-Order Nonlinear Matrix and Scalar Ordinary Differential Equations

On General Solutions of First-Order Nonlinear Matrix and Scalar Ordinary Differential Equations saartvlos mcnirbata rovnuli akadmiis moamb 3 #2 29 BULLTN OF TH ORN NTONL DMY OF SNS vol 3 no 2 29 Mahmaics On nral Soluions of Firs-Ordr Nonlinar Mari and Scalar Ordinary Diffrnial uaions uram L Kharaishvili

More information

Methodology for Analyzing State Tax Policy By Orphe Pierre Divounguy, PhD, Revised by Andrew J. Kidd, PhD (May 2018)

Methodology for Analyzing State Tax Policy By Orphe Pierre Divounguy, PhD, Revised by Andrew J. Kidd, PhD (May 2018) Mhodology for Analyzing Sa Tax Policy By Orph Pirr Divounguy, PhD, Rvisd by Andrw J. Kidd, PhD (May 2018) Inroducion To analyz how changs o ax policy impacs no only govrnmn rvnus bu also conomic aciviy

More information

Deteriorating Inventory Model When Demand Depends on Advertisement and Stock Display

Deteriorating Inventory Model When Demand Depends on Advertisement and Stock Display Inernaional Journal of Operaions Research Inernaional Journal of Operaions Research Vol. 6, No. 2, 33 44 (29) Deerioraing Invenory Model When Demand Depends on Adverisemen and Sock Display Nia H. Shah,

More information

46. Let y = ln r. Then dy = dr, and so. = [ sin (ln r) cos (ln r)

46. Let y = ln r. Then dy = dr, and so. = [ sin (ln r) cos (ln r) 98 Scion 7.. L w. Thn dw d, so d dw w dw. sin d (sin w)( wdw) w sin w dw L u w dv sin w dw du dw v cos w w sin w dw w cos w + cos w dw w cos w+ sin w+ sin d wsin wdw w cos w+ sin w+ cos + sin +. L w +

More information

FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Introduction and Linear Systems

FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Introduction and Linear Systems FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Inroducion and Linar Sysms David Lvrmor Dparmn of Mahmaics Univrsiy of Maryland 9 Dcmbr 0 Bcaus h prsnaion of his marial in lcur will diffr from

More information

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( )

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( ) Rviw Lcur 5 Firs-ordr circui Th sourc-fr R-C/R-L circui Sp rspons of an RC/RL circui v( ) v( ) [ v( 0) v( )] 0 Th i consan = RC Th final capacior volag v() Th iniial capacior volag v( 0 ) Volag/currn-division

More information

A Study of Inventory System with Ramp Type Demand Rate and Shortage in The Light Of Inflation I

A Study of Inventory System with Ramp Type Demand Rate and Shortage in The Light Of Inflation I Inernaional Journal of Mahemaics rends and echnology Volume 7 Number Jan 5 A Sudy of Invenory Sysem wih Ramp ype emand Rae and Shorage in he Ligh Of Inflaion I Sangeea Gupa, R.K. Srivasava, A.K. Singh

More information

Chemistry 988 Part 1

Chemistry 988 Part 1 Chmisry 988 Par 1 Radiaion Dcion & Masurmn Dp. of Chmisry --- Michigan Sa Univ. aional Suprconducing Cycloron Lab DJMorrissy Spring/2oo9 Cours informaion can b found on h wbsi: hp://www.chmisry.msu.du/courss/cm988uclar/indx.hml

More information

Deteriorating Inventory Model with Time. Dependent Demand and Partial Backlogging

Deteriorating Inventory Model with Time. Dependent Demand and Partial Backlogging Applied Mahemaical Sciences, Vol. 4, 00, no. 7, 36-369 Deerioraing Invenory Model wih Time Dependen Demand and Parial Backlogging Vinod Kumar Mishra Deparmen of Compuer Science & Engineering Kumaon Engineering

More information

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control MEM 355 Prformanc Enhancmn of Dynamical Sysms A Firs Conrol Problm - Cruis Conrol Harry G. Kwany Darmn of Mchanical Enginring & Mchanics Drxl Univrsiy Cruis Conrol ( ) mv = F mg sinθ cv v +.2v= u 9.8θ

More information

On Ψ-Conditional Asymptotic Stability of First Order Non-Linear Matrix Lyapunov Systems

On Ψ-Conditional Asymptotic Stability of First Order Non-Linear Matrix Lyapunov Systems In. J. Nonlinar Anal. Appl. 4 (213) No. 1, 7-2 ISSN: 28-6822 (lcronic) hp://www.ijnaa.smnan.ac.ir On Ψ-Condiional Asympoic Sabiliy of Firs Ordr Non-Linar Marix Lyapunov Sysms G. Sursh Kumar a, B. V. Appa

More information